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Sample records for diseases surveillance system

  1. [Circulatory disease surveillance system in Korea].

    PubMed

    Chun, Byung-Yeol

    2007-07-01

    The purpose of establishing the circulatory disease surveillance system in Korea is to ensure that the problems of circulatory disease importance are being monitored efficiently and effectively. The goals of circulatory disease surveillance system are to monitor the epidemiological trends of circulatory disease and to evaluate the outcome of health activity for controlling circulatory diseases. Surveillance system are being updated to achieve the needs for the integration of the surveillance and information system, the establishment of data standards, the electronic exchange of data, and changes in the goals of circulatory disease surveillance system to facilitate the response of this system to manage the national health problem effectively. This article provides the target diseases and determinant indicators to be monitored, structure of circulatory disease surveillance system, and many tasks and related activities that should be applied to this system.

  2. Surveillance System for Infectious Diseases of Pets, Santiago, Chile

    PubMed Central

    López, Javier; Abarca, Katia; Valenzuela, Berta; Lorca, Lilia; Olea, Andrea; Aguilera, Ximena

    2009-01-01

    Pet diseases may pose risks to human health but are rarely included in surveillance systems. A pilot surveillance system of pet infectious diseases in Santiago, Chile, found that 4 canine and 3 feline diseases accounted for 90.1% and 98.4% of notifications, respectively. Data also suggested association between poverty and pet diseases. PMID:19861073

  3. Electronic integrated disease surveillance system and pathogen asset control system.

    PubMed

    Wahl, Tom G; Burdakov, Aleksey V; Oukharov, Andrey O; Zhilokov, Azamat K

    2012-06-20

    Electronic Integrated Disease Surveillance System (EIDSS) has been used to strengthen and support monitoring and prevention of dangerous diseases within One Health concept by integrating veterinary and human surveillance, passive and active approaches, case-based records including disease-specific clinical data based on standardised case definitions and aggregated data, laboratory data including sample tracking linked to each case and event with test results and epidemiological investigations. Information was collected and shared in secure way by different means: through the distributed nodes which are continuously synchronised amongst each other, through the web service, through the handheld devices. Electronic Integrated Disease Surveillance System provided near real time information flow that has been then disseminated to the appropriate organisations in a timely manner. It has been used for comprehensive analysis and visualisation capabilities including real time mapping of case events as these unfold enhancing decision making. Electronic Integrated Disease Surveillance System facilitated countries to comply with the IHR 2005 requirements through a data transfer module reporting diseases electronically to the World Health Organisation (WHO) data center as well as establish authorised data exchange with other electronic system using Open Architecture approach. Pathogen Asset Control System (PACS) has been used for accounting, management and control of biological agent stocks. Information on samples and strains of any kind throughout their entire lifecycle has been tracked in a comprehensive and flexible solution PACS.Both systems have been used in a combination and individually. Electronic Integrated Disease Surveillance System and PACS are currently deployed in the Republics of Kazakhstan, Georgia and Azerbaijan as a part of the Cooperative Biological Engagement Program (CBEP) sponsored by the US Defense Threat Reduction Agency (DTRA).

  4. State electronic disease surveillance systems --- United States, 2007 and 2010.

    PubMed

    2011-10-21

    The National Electronic Disease Surveillance System (NEDSS) is a web-based infrastructure for public health surveillance data exchange between CDC and the 50 states. In 2007, the Council of State and Territorial Epidemiologists (CSTE) conducted an assessment to evaluate states' electronic disease surveillance capacity. In 2010, CSTE conducted a follow-up assessment to evaluate the operational status and progress of integration, interoperability, and capacity of state electronic disease surveillance systems. This report summarizes the results of that assessment, which indicated a 17.5% increase from 40 states in 2007 to 47 states in 2010 with fully operational general communicable disease (GCD) electronic surveillance systems, a 211.5% increase from 13 to 39 states in the number of systems that were interoperable, a 22.4% increase from 23 to 34 states in the number with integrated systems, and a 20.0% increase to 42 states with the capacity to receive electronic laboratory reports (ELRs). New Centers for Medicare and Medicaid Services rules for meaningful use of health information technology encourage data exchange between electronic health record systems and public health agencies, including submission of ELRs. To meet national goals for health information exchange to improve population health, variation in disease surveillance systems should decrease, and functionality should increase.

  5. Mobile Phone–based Infectious Disease Surveillance System, Sri Lanka

    PubMed Central

    Sawford, Kate; Daniel, Samson L.A.; Nelson, Trisalyn A.; Stephen, Craig

    2010-01-01

    Because many infectious diseases are emerging in animals in low-income and middle-income countries, surveillance of animal health in these areas may be needed for forecasting disease risks to humans. We present an overview of a mobile phone–based frontline surveillance system developed and implemented in Sri Lanka. Field veterinarians reported animal health information by using mobile phones. Submissions increased steadily over 9 months, with ≈4,000 interactions between field veterinarians and reports on the animal population received by the system. Development of human resources and increased communication between local stakeholders (groups and persons whose actions are affected by emerging infectious diseases and animal health) were instrumental for successful implementation. The primary lesson learned was that mobile phone–based surveillance of animal populations is acceptable and feasible in lower-resource settings. However, any system implementation plan must consider the time needed to garner support for novel surveillance methods among users and stakeholders. PMID:20875276

  6. Internet-based surveillance systems for monitoring emerging infectious diseases.

    PubMed

    Milinovich, Gabriel J; Williams, Gail M; Clements, Archie C A; Hu, Wenbiao

    2014-02-01

    Emerging infectious diseases present a complex challenge to public health officials and governments; these challenges have been compounded by rapidly shifting patterns of human behaviour and globalisation. The increase in emerging infectious diseases has led to calls for new technologies and approaches for detection, tracking, reporting, and response. Internet-based surveillance systems offer a novel and developing means of monitoring conditions of public health concern, including emerging infectious diseases. We review studies that have exploited internet use and search trends to monitor two such diseases: influenza and dengue. Internet-based surveillance systems have good congruence with traditional surveillance approaches. Additionally, internet-based approaches are logistically and economically appealing. However, they do not have the capacity to replace traditional surveillance systems; they should not be viewed as an alternative, but rather an extension. Future research should focus on using data generated through internet-based surveillance and response systems to bolster the capacity of traditional surveillance systems for emerging infectious diseases. Copyright © 2014 Elsevier Ltd. All rights reserved.

  7. Comparing national infectious disease surveillance systems: China and the Netherlands.

    PubMed

    Vlieg, Willemijn L; Fanoy, Ewout B; van Asten, Liselotte; Liu, Xiaobo; Yang, Jun; Pilot, Eva; Bijkerk, Paul; van der Hoek, Wim; Krafft, Thomas; van der Sande, Marianne A; Liu, Qi-Yong

    2017-05-08

    Risk assessment and early warning (RAEW) are essential components of any infectious disease surveillance system. In light of the International Health Regulations (IHR)(2005), this study compares the organisation of RAEW in China and the Netherlands. The respective approaches towards surveillance of arboviral disease and unexplained pneumonia were analysed to gain a better understanding of the RAEW mode of operation. This study may be used to explore options for further strengthening of global collaboration and timely detection and surveillance of infectious disease outbreaks. A qualitative study design was used, combining data retrieved from the literature and from semi-structured interviews with Chinese (5 national-level and 6 provincial-level) and Dutch (5 national-level) experts. The results show that some differences exist such as in the use of automated electronic components of the early warning system in China ('CIDARS'), compared to a more limited automated component in the Netherlands ('barometer'). Moreover, RAEW units in the Netherlands focus exclusively on infectious diseases, while China has a broader 'all hazard' approach (including for example chemical incidents). In the Netherlands, veterinary specialists take part at the RAEW meetings, to enable a structured exchange/assessment of zoonotic signals. Despite these differences, the main conclusion is that for the two infections studied, the early warning system in China and the Netherlands are remarkably similar considering their large differences in infectious disease history, population size and geographical setting. Our main recommendations are continued emphasis on international corporation that requires insight into national infectious disease surveillance systems, the usage of a One Health approach in infectious disease surveillance, and further exploration/strengthening of a combined syndromic and laboratory surveillance system.

  8. Event communication in a regional disease surveillance system.

    PubMed

    Loschen, Wayne; Coberly, Jacqueline; Sniegoski, Carol; Holtry, Rekha; Sikes, Marvin; Happel Lewis, Sheryl

    2007-10-11

    When real-time disease surveillance is practiced in neighboring states within a region, public health users may benefit from easily sharing their concerns and findings regarding potential health threats. To better understand the need for this capability, an event communications component (ECC) was added to the National Capital Region Disease Surveillance System, an operational biosurveillance system employed in the District of Columbia and in surrounding Maryland and Virginia counties. Through usage analysis and user survey methods, we assessed the value of the enhanced system in daily operational use and during two simulated exercises. Results suggest that the system has utility for regular users of the system as well as suggesting several refinements for future implementations.

  9. A review of occupational disease surveillance systems in Modernet countries.

    PubMed

    Carder, M; Bensefa-Colas, L; Mattioli, S; Noone, P; Stikova, E; Valenty, M; Telle-Lamberton, M

    2015-11-01

    To improve occupational health public policies and to facilitate coordinated research within the European Union to reduce the incidence of occupational diseases (ODs), it is important to know what OD surveillance systems exist and how they compare. Monitoring trends in occupational diseases and tracing new and emerging risks in a network (Modernet) participants are well placed to provide this information as most either contribute data to and/or are involved in the management of OD systems. To identify and describe OD surveillance systems in Modernet countries with the longer-term objective of identifying a core template to be used on a large scale. A questionnaire sent to Modernet participants, seeking structured information about the OD surveillance system(s) in their country. Overall 14 countries (70%) provided information for 33 OD systems, among them 11 compensation-based (CB) systems. Six countries provided information for non-CB systems reporting for any type of OD. The other systems reported either only ODs from a prescribed list, or specific diagnoses or diagnostic groups, with reports to most schemes being physician-based. Data collected varied but all systems collected diagnosis, age, gender, date reported and occupation (and/or industry) and most collected information on exposure. This review provides information beneficial to both policy makers and researchers by identifying data sources useable to measure OD trends in European countries and opening the way to future work, both on trend comparisons within Europe and on the definition of a core template to extend OD surveillance on a larger scale. © The Author 2015. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  10. Quality assurance applied to animal disease surveillance systems.

    PubMed

    Salman; Stärk, K D C; Zepeda, C

    2003-08-01

    Monitoring and surveillance systems (MOSS) are essential activities for official Veterinary Services. In addition, the increased trade in animals and animal products over recent years has increased the importance of international disease reporting. A reliable surveillance system is the key to early warning of a change in the health status of any animal population. Such a system is also essential for providing evidence about the absence of diseases or in determining the extent of a disease which is known to be present. The authors discuss a set of methods and approaches for evaluating the quality of surveillance and survey systems. Certain steps are required when assessing the quality of a service or product. Various approaches for quality assessment are available and the suitability of each method depends on the objective of the evaluation. An essential basic requirement is, however, to use an objective, transparent and systematic approach. The evidence collected and the analyses used to reach conclusions must be of such high quality that the results are acceptable to both the management of the MOSS and the assessor. Repeated discussions and negotiations may be necessary to reach consensus, particularly if the judgement affects activities between trading partners. Well-documented MOSS with specified objectives and integrated quality assurance mechanisms are likely to be easier to evaluate.

  11. The utility of information collected by occupational disease surveillance systems.

    PubMed

    Money, A; Carder, M; Hussey, L; Agius, R M

    2015-11-01

    The Health and Occupation Research (THOR) network in the UK and the Republic of Ireland (ROI) is an integrated system of surveillance schemes collecting work-related ill-health (WRIH) data since 1989. In addition to providing information about disease incidence, trends in incidence and the identification of new hazards, THOR also operates an ad hoc data enquiry service enabling interested parties to request information about cases of WRIH reported to THOR. To examine requests for information made to a network of surveillance schemes for WRIH in the UK. Analysis via SPSS of data requests received by THOR between 2002 and 2014. A total of 631 requests were received by THOR between 2002 and 2014. Requests were predominantly submitted by participating THOR physicians (34%) and the main THOR funder-the UK Health & Safety Executive (HSE) (31%). The majority (67%) of requests were for information about work-related respiratory or skin disease with relatively few requests for other diagnoses, such as musculoskeletal or mental ill-health. Requests frequently related to a specific industry and/or occupation (42%) and/or a specific causal agent (58%). Data collected by occupational disease surveillance systems such as THOR are an extremely useful source of information, the use of which extends beyond informing government on disease incidence and trends in incidence. The data collected provide a framework that can assist a wide range of enquirers with clinical diagnoses, identification of suspected causative agents/exposures and to highlight growing risks in particular industrial and occupational sectors. © The Author 2015. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  12. Surveillance and early warning systems of infectious disease in China: From 2012 to 2014.

    PubMed

    Zhang, Honglong; Wang, Liping; Lai, Shengjie; Li, Zhongjie; Sun, Qiao; Zhang, Peng

    2017-07-01

    Appropriate surveillance and early warning of infectious diseases have very useful roles in disease control and prevention. In 2004, China established the National Notifiable Infectious Disease Surveillance System and the Public Health Emergency Event Surveillance System to report disease surveillance and events on the basis of data sources from the National Notifiable Infectious Disease Surveillance System, China Infectious Disease Automated-alert and Response System in this country. This study provided a descriptive summary and a data analysis, from 2012 to 2014, of these 3 key surveillance and early warning systems of infectious disease in China with the intent to provide suggestions for system improvement and perfection. Copyright © 2017 John Wiley & Sons, Ltd.

  13. Status of state electronic disease surveillance systems--United States, 2007.

    PubMed

    2009-07-31

    The National Electronic Disease Surveillance System (NEDSS) is a web-based system that uses standard health information technology (IT) codes to integrate disease surveillance systems, enabling them to transfer public health, laboratory, and clinical data securely from health-care providers to public health departments. Each jurisdictions' system consists of a base system and modules that can be used for specific surveillance purposes. States also use NEDSS-like or other electronic systems to conduct surveillance on specific diseases or conditions. Until recently, no assessment had been done to describe the status and characteristics of state electronic disease surveillance systems. The Council of State and Territorial Epidemiologists (CSTE) conducted such an assessment in August 2007 in all 50 states. This report presents the results of that assessment, which indicated that, in 2007, state electronic disease surveillance systems varied widely and were in various stages of implementation. Each state had either custom-built systems or purchased systems that were customizable, with associated disease modules to meet its own surveillance needs. As interoperability becomes the standard for electronic data sharing, more states will face customization costs and the need to hire more technical specialists who can manage health information and exchange. Further collaboration and support from surveillance and health-care IT stakeholders with public health will be needed to improve the efficacy and quality of electronic disease surveillance systems.

  14. Web-based infectious disease surveillance systems and public health perspectives: a systematic review.

    PubMed

    Choi, Jihye; Cho, Youngtae; Shim, Eunyoung; Woo, Hyekyung

    2016-12-08

    Emerging and re-emerging infectious diseases are a significant public health concern, and early detection and immediate response is crucial for disease control. These challenges have led to the need for new approaches and technologies to reinforce the capacity of traditional surveillance systems for detecting emerging infectious diseases. In the last few years, the availability of novel web-based data sources has contributed substantially to infectious disease surveillance. This study explores the burgeoning field of web-based infectious disease surveillance systems by examining their current status, importance, and potential challenges. A systematic review framework was applied to the search, screening, and analysis of web-based infectious disease surveillance systems. We searched PubMed, Web of Science, and Embase databases to extensively review the English literature published between 2000 and 2015. Eleven surveillance systems were chosen for evaluation according to their high frequency of application. Relevant terms, including newly coined terms, development and classification of the surveillance systems, and various characteristics associated with the systems were studied. Based on a detailed and informative review of the 11 web-based infectious disease surveillance systems, it was evident that these systems exhibited clear strengths, as compared to traditional surveillance systems, but with some limitations yet to be overcome. The major strengths of the newly emerging surveillance systems are that they are intuitive, adaptable, low-cost, and operated in real-time, all of which are necessary features of an effective public health tool. The most apparent potential challenges of the web-based systems are those of inaccurate interpretation and prediction of health status, and privacy issues, based on an individual's internet activity. Despite being in a nascent stage with further modification needed, web-based surveillance systems have evolved to complement

  15. Surveillance of occupational skin disease using the Supplementary Data System.

    PubMed

    O'Malley, M; Thun, M; Morrison, J; Mathias, C G; Halperin, W E

    1988-01-01

    The utility of the Supplementary Data System (SDS) compiled by the Bureau of Labor Statistics (BLS) in conducting surveillance of occupational skin disease was evaluated by examining 14,703 workers' compensation cases reported to the SDS for the year 1981. Combined with state employment denominators obtained from the BLS Employment and Earnings Program, rates of illness (cases of dermatitis/10,000 employed) calculated for eight major industrial divisions varied significantly according to the criteria used for reporting cases. Despite quantitative variations in the rate of skin disease that depended on specific reporting criteria, the relative ranking of the major industrial divisions remained unchanged, with highest rates of skin disease consistently found in three major industry divisions: agriculture, manufacturing, and construction. This ranking of major industry divisions by rate of dermatitis corresponded extremely well with rankings generated from the 1981 Annual Survey (Spearman rank correlation = .98, p less than .01). At the two-digit level of the Standard Industrial Classification, the rankings based on the SDS had a 77% rank correlation with those from the Annual Survey. Two-digit SIC codes identified from the top 10 in both sets of rankings included crop and livestock production from the agricultural division and leather products, food products, rubber and plastic products from the manufacturing division.

  16. Systems approaches to animal disease surveillance and resource allocation: methodological frameworks for behavioral analysis.

    PubMed

    Rich, Karl M; Denwood, Matthew J; Stott, Alistair W; Mellor, Dominic J; Reid, Stuart W J; Gunn, George J

    2013-01-01

    While demands for animal disease surveillance systems are growing, there has been little applied research that has examined the interactions between resource allocation, cost-effectiveness, and behavioral considerations of actors throughout the livestock supply chain in a surveillance system context. These interactions are important as feedbacks between surveillance decisions and disease evolution may be modulated by their contextual drivers, influencing the cost-effectiveness of a given surveillance system. This paper identifies a number of key behavioral aspects involved in animal health surveillance systems and reviews some novel methodologies for their analysis. A generic framework for analysis is discussed, with exemplar results provided to demonstrate the utility of such an approach in guiding better disease control and surveillance decisions.

  17. Systems Approaches to Animal Disease Surveillance and Resource Allocation: Methodological Frameworks for Behavioral Analysis

    PubMed Central

    Rich, Karl M.; Denwood, Matthew J.; Stott, Alistair W.; Mellor, Dominic J.; Reid, Stuart W. J.; Gunn, George J.

    2013-01-01

    While demands for animal disease surveillance systems are growing, there has been little applied research that has examined the interactions between resource allocation, cost-effectiveness, and behavioral considerations of actors throughout the livestock supply chain in a surveillance system context. These interactions are important as feedbacks between surveillance decisions and disease evolution may be modulated by their contextual drivers, influencing the cost-effectiveness of a given surveillance system. This paper identifies a number of key behavioral aspects involved in animal health surveillance systems and reviews some novel methodologies for their analysis. A generic framework for analysis is discussed, with exemplar results provided to demonstrate the utility of such an approach in guiding better disease control and surveillance decisions. PMID:24348922

  18. Surveillance for travel-related disease--GeoSentinel Surveillance System, United States, 1997-2011.

    PubMed

    Harvey, Kira; Esposito, Douglas H; Han, Pauline; Kozarsky, Phyllis; Freedman, David O; Plier, D Adam; Sotir, Mark J

    2013-07-19

    In 2012, the number of international tourist arrivals worldwide was projected to reach a new high of 1 billion arrivals, a 48% increase from 674 million arrivals in 2000. International travel also is increasing among U.S. residents. In 2009, U.S. residents made approximately 61 million trips outside the country, a 5% increase from 1999. Travel-related morbidity can occur during or after travel. Worldwide, 8% of travelers from industrialized to developing countries report becoming ill enough to seek health care during or after travel. Travelers have contributed to the global spread of infectious diseases, including novel and emerging pathogens. Therefore, surveillance of travel-related morbidity is an essential component of global public health surveillance and will be of greater importance as international travel increases worldwide. September 1997-December 2011. GeoSentinel is a clinic-based global surveillance system that tracks infectious diseases and other adverse health outcomes in returned travelers, foreign visitors, and immigrants. GeoSentinel comprises 54 travel/tropical medicine clinics worldwide that electronically submit demographic, travel, and clinical diagnosis data for all patients evaluated for an illness or other health condition that is presumed to be related to international travel. Clinical information is collected by physicians with expertise or experience in travel/tropical medicine. Data collected at all sites are entered electronically into a database, which is housed at and maintained by CDC. The GeoSentinel network membership program comprises 235 additional clinics in 40 countries on six continents. Although these network members do not report surveillance data systematically, they can report unusual or concerning diagnoses in travelers and might be asked to perform enhanced surveillance in response to specific health events or concerns. During September 1997-December 2011, data were collected on 141,789 patients with confirmed or

  19. Overview of infectious disease surveillance system in Japan, 1999-2005.

    PubMed

    Taniguchi, Kiyosu; Hashimoto, Shuji; Kawado, Miyuki; Murakami, Yoshitaka; Izumida, Michiko; Ohta, Akiko; Tada, Yuki; Shigematsu, Mika; Yasui, Yoshinori; Nagai, Masaki

    2007-12-01

    In 1999 the Communicable Disease Prevention Law of Japan was completely revised into the "New" Infectious Disease Control Law, which reiterated the importance of surveillance and information dissemination and re-organized the surveillance system. This paper is an attempt to illustrate the potential impact of the new surveillance system through a description of the existing surveillance system and data before and after the revision. After a historical review of surveillance system in Japan, the current surveillance system is described. Data sets of actual case numbers reported and incidence rate per 1,000,000 population are compared before and after the revision. Comparison of the data between the 2 periods revealed that most of the diseases have had declining trends after the new law was enacted with several exceptions. However, although no major break in continuity is observed in seriously perceived disease, in milder diseases there are striking gaps between the numbers reported in the mandatory and sentinel reporting framework. Sentinel reporting framework maintained the continuity of data without major gaps. From this perspective, the new surveillance system with two different frameworks of mandatory reporting for severe diseases and sentinel reporting for milder diseases seems to be working well. But continuous efforts should be made for evaluation and improvement of surveillance system and risk communication through the research on data analysis and effective communication method.

  20. Survey of Communicable Diseases Surveillance System in Hospitals of Iran: A Qualitative Approach.

    PubMed

    Fadaei Dehcheshmeh, Nayeb; Arab, Mohammad; Rahimi Fouroshani, Abbas; Farzianpour, Fereshteh

    2016-09-01

    Communicable Disease Surveillance and reporting is one of the key elements to combat against diseases and their control. Fast and timely recognition of communicable diseases can be helpful in controlling of epidemics. One of the main sources of management of communicable diseases reporting is hospitals that collect communicable diseases' reports and send them to health authorities. One of the focal problems and challenges in this regard is incomplete and imprecise reports from hospitals. In this study, while examining the implementation processes of the communicable diseases surveillance in hospitals, non-medical people who were related to the program have been studied by a qualitative approach. This study was conducted using qualitative content analysis method. Participants in the study included 36 informants, managers, experts associated with health and surveillance of communicable diseases that were selected using targeted sampling and with diverse backgrounds and work experience (different experiences in primary health surveillance and treatment, Ministry levels, university staff and operations (hospitals and health centers) and sampling was continued until  arrive to data saturation. Interviews were analyzed after the elimination of duplicate codes and integration of them. Finally, 73 codes were acquired and categorized in 6 major themes and 21 levels. The main themes included: policy making and planning, development of resources, organizing, collaboration and participation, surveillance process, and monitoring and evaluation of the surveillance system. In point of interviewees, attention to these themes is necessary to develop effective and efficient surveillance system for communicable diseases. Surveillance system in hospitals is important in developing proper macro - policies in health sector, adoption of health related decisions and preventive plans appropriate to the existing situation. Compilation, changing, improving, monitoring and continuous

  1. Evaluation of the integrated disease surveillance and response system for infectious diseases control in northern Ghana.

    PubMed

    Adokiya, Martin Nyaaba; Awoonor-Williams, John Koku; Barau, Inuwa Yau; Beiersmann, Claudia; Mueller, Olaf

    2015-02-04

    Well-functioning surveillance systems are crucial for effective disease control programs. The Integrated Disease Surveillance and Response (IDSR) strategy was developed and adopted in 1998 for Africa as a comprehensive public health approach and subsequently, Ghana adopted the IDSR technical guidelines in 2002. Since 2012, the IDSR data is reported through the new District Health Information Management System II (DHIMS2) network. The objective was to evaluate the Integrated Disease Surveillance and Response (IDSR) system in northern Ghana. This was an observational study using mixed methods. Weekly and monthly IDSR data on selected infectious diseases were downloaded and analyzed for 2011, 2012 and 2013 (the years before, of and after DHIMS2 implementation) from the DHIMS2 databank for the Upper East Region (UER) and for two districts of UER. In addition, key informant interviews were conducted among local and regional health officers on the functioning of the IDSR. Clinically diagnosed malaria was the most prevalent disease in UER, with an annual incidence rate close to 1. Around 500 suspected HIV/AIDS cases were reported each year. The highest incidence of cholera and meningitis was reported in 2012 (257 and 392 cases respectively). Three suspected cases of polio and one suspected case of guinea worm were reported in 2013. None of the polio and guinea worm cases and only a fraction of the reported cases of the other diseases were confirmed. A major observation was the large and inconclusive difference in reported cases when comparing weekly and monthly reports. This can be explained by the different reporting practice for the sub-systems. Other challenges were low priority for surveillance, ill-equipped laboratories, rare supervision and missing feedback. The DHIMS2 has improved the availability of IDSR reports, but the quality of data reported is not sufficient. Particularly the inconsistencies between weekly and monthly data need to be addressed. Moreover

  2. Development and Implementation of a Surveillance Network System for Emerging Infectious Diseases in the Caribbean (ARICABA)

    PubMed Central

    Kim, WonGyu Lewis; AnneDucharme, Chelsea; Bucher, Bernard Jean-Marie Philippe

    2011-01-01

    Dengue fever, including dengue hemorrhagic fever, has become a re-emerging public health threat in the Caribbean in the absence of a comprehensive regional surveillance system. In this deficiency, a project entitled ARICABA, strives to implement a pilot surveillance system across three islands: Martinique, St. Lucia, and Dominica. The aim of this project is to establish a network for epidemiological surveillance of infectious diseases, utilizing information and communication technology. This paper describes the system design and development strategies of a “network of networks” surveillance system for infectious diseases in the Caribbean. Also described are benefits, challenges, and limitations of this approach across the three island nations identified through direct observation, open-ended interviews, and email communications with an on-site IT consultant, key informants, and the project director. Identified core systems design of the ARICABA data warehouse include a disease monitoring system and a syndromic surveillance system. Three components comprise the development strategy: the data warehouse server, the geographical information system, and forecasting algorithms; these are recognized technical priorities of the surveillance system. A main benefit of the ARICABA surveillance system is improving responsiveness and representativeness of existing health systems through automated data collection, process, and transmission of information from various sources. Challenges include overcoming technology gaps between countries; real-time data collection points; multiple language support; and “component-oriented” development approaches. PMID:23569607

  3. Development and Implementation of a Surveillance Network System for Emerging Infectious Diseases in the Caribbean (ARICABA).

    PubMed

    Kim, Wongyu Lewis; Anneducharme, Chelsea; Bucher, Bernard Jean-Marie Philippe

    2011-01-01

    Dengue fever, including dengue hemorrhagic fever, has become a re-emerging public health threat in the Caribbean in the absence of a comprehensive regional surveillance system. In this deficiency, a project entitled ARICABA, strives to implement a pilot surveillance system across three islands: Martinique, St. Lucia, and Dominica. The aim of this project is to establish a network for epidemiological surveillance of infectious diseases, utilizing information and communication technology. This paper describes the system design and development strategies of a "network of networks" surveillance system for infectious diseases in the Caribbean. Also described are benefits, challenges, and limitations of this approach across the three island nations identified through direct observation, open-ended interviews, and email communications with an on-site IT consultant, key informants, and the project director. Identified core systems design of the ARICABA data warehouse include a disease monitoring system and a syndromic surveillance system. Three components comprise the development strategy: the data warehouse server, the geographical information system, and forecasting algorithms; these are recognized technical priorities of the surveillance system. A main benefit of the ARICABA surveillance system is improving responsiveness and representativeness of existing health systems through automated data collection, process, and transmission of information from various sources. Challenges include overcoming technology gaps between countries; real-time data collection points; multiple language support; and "component-oriented" development approaches.

  4. Australia's notifiable disease status, 2014: Annual report of the National Notifiable Diseases Surveillance System.

    PubMed

    2016-03-31

    In 2014, 69 diseases and conditions were nationally notifiable in Australia. States and territories reported a total of 275,581 notifications of communicable diseases to the National Notifiable Diseases Surveillance System, an increase of 22% on the number of notifications in 2013. In 2014, the most frequently notified diseases were sexually transmissible infections (105,719 notifications, 38% of total notifications), vaccine preventable diseases (101,400 notifications, 37% of total notifications), and gastrointestinal diseases (40,367 notifications, 15% of total notifications). There were 17,411 notifications of bloodborne diseases; 8,125 notifications of vectorborne diseases; 1,942 notifications of other bacterial infections; 615 notifications of zoonoses and 2 notifications of quarantinable diseases.

  5. Survey of Communicable Diseases Surveillance System in Hospitals of Iran: A Qualitative Approach

    PubMed Central

    Dehcheshmeh, Nayeb Fadaei; Arab, Mohammad; Foroushani, Abbas Rahimi; Farzianpour, Fereshteh

    2016-01-01

    Background: Communicable Disease Surveillance and reporting is one of the key elements to combat against diseases and their control. Fast and timely recognition of communicable diseases can be helpful in controlling of epidemics. One of the main sources of management of communicable diseases reporting is hospitals that collect communicable diseases’ reports and send them to health authorities. One of the focal problems and challenges in this regard is incomplete and imprecise reports from hospitals. In this study, while examining the implementation processes of the communicable diseases surveillance in hospitals, non-medical people who were related to the program have been studied by a qualitative approach. Methods: This study was conducted using qualitative content analysis method. Participants in the study included 36 informants, managers, experts associated with health and surveillance of communicable diseases that were selected using targeted sampling and with diverse backgrounds and work experience (different experiences in primary health surveillance and treatment, Ministry levels, university staff and operations (hospitals and health centers) and sampling was continued until arrive to data saturation. Results: Interviews were analyzed after the elimination of duplicate codes and integration of them. Finally, 73 codes were acquired and categorized in 6 major themes and 21 levels. The main themes included: policy making and planning, development of resources, organizing, collaboration and participation, surveillance process, and monitoring and evaluation of the surveillance system. In point of interviewees, attention to these themes is necessary to develop effective and efficient surveillance system for communicable diseases. Conclusion: Surveillance system in hospitals is important in developing proper macro - policies in health sector, adoption of health related decisions and preventive plans appropriate to the existing situation. Compilation, changing

  6. Australia's notifiable diseases status, 2001: annual report of the National Notifiable Diseases Surveillance System.

    PubMed

    Blumer, Charlie; Roche, Paul; Spencer, Jenean; Lin, Ming; Milton, Alison; Bunn, Chris; Gidding, Heather; Kaldor, John; Kirk, Martyn; Hall, Rob; Della-Porta, Tony; Leader, Robyn; Wright, Phil

    2003-01-01

    In 2001 there were 104,187 notifications of communicable diseases in Australia reported to the National Notifiable Diseases Surveillance System (NNDSS). The number of notifications in 2001 was an increase of 16 per cent of those reported in 2000 (89,740) and the largest annual total since the NNDSS commenced in 1991. In 2001, nine new diseases were added to the list of diseases reported to NNDSS and four diseases were removed. The new diseases were cryptosporidiosis, laboratory-confirmed influenza, invasive pneumococcal disease, Japanese encephalitis, Kunjin virus infection, Murray Valley encephalitis virus infection, anthrax, Australian bat lyssavirus, and other lyssaviruses (not elsewhere classified). Bloodborne virus infections remained the most frequently notified disease (29,057 reports, 27.9% of total), followed by sexually transmitted infections (27,647, 26.5%), gastrointestinal diseases (26,086, 25%), vaccine preventable diseases (13,030 (12.5%), vectorborne diseases (5,294, 5.1%), other bacterial infections (1,978, 1.9%), zoonotic infections (1,091, 1%) and four cases of quarantinable diseases. In 2001 there were increases in the number of notifications of incident hepatitis C, chlamydial infections, pertussis, Barmah Forest virus infection and ornithosis. There were decreases in the number of notifications of hepatitis A, Haemophilus influenzae type b infections, measles, rubella, Ross River virus infections and brucellosis. This report also summarises data on communicable diseases from other surveillance systems including the Laboratory Virology and Serology Reporting Scheme and sentinel general practitioner schemes. In addition, this report comments on other important developments in communicable disease control in Australia in 2001.

  7. Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems.

    PubMed

    Simonsen, Lone; Gog, Julia R; Olson, Don; Viboud, Cécile

    2016-12-01

    While big data have proven immensely useful in fields such as marketing and earth sciences, public health is still relying on more traditional surveillance systems and awaiting the fruits of a big data revolution. A new generation of big data surveillance systems is needed to achieve rapid, flexible, and local tracking of infectious diseases, especially for emerging pathogens. In this opinion piece, we reflect on the long and distinguished history of disease surveillance and discuss recent developments related to use of big data. We start with a brief review of traditional systems relying on clinical and laboratory reports. We then examine how large-volume medical claims data can, with great spatiotemporal resolution, help elucidate local disease patterns. Finally, we review efforts to develop surveillance systems based on digital and social data streams, including the recent rise and fall of Google Flu Trends. We conclude by advocating for increased use of hybrid systems combining information from traditional surveillance and big data sources, which seems the most promising option moving forward. Throughout the article, we use influenza as an exemplar of an emerging and reemerging infection which has traditionally been considered a model system for surveillance and modeling. Published by Oxford University Press for the Infectious Diseases Society of America 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  8. Cost analysis of an integrated vaccine-preventable disease surveillance system in Costa Rica✩

    PubMed Central

    Toscano, C.M.; Vijayaraghavan, M.; Salazar-Bolaños, H.M.; Bolaños-Acuña, H.M.; Ruiz-González, A.I.; Barrantes-Solis, T.; Fernández-Vargas, I.; Panero, M.S.; de Oliveira, L.H.; Hyde, T.B.

    2015-01-01

    Introduction Following World Health Organization recommendations set forth in the Global Framework for Immunization Monitoring and Surveillance, Costa Rica in 2009 became the first country to implement integrated vaccine-preventable disease (iVPD) surveillance, with support from the U.S. Centers for Disease Control and Prevention (CDC) and the Pan American Health Organization (PAHO). As surveillance for diseases prevented by new vaccines is integrated into existing surveillance systems, these systems could cost more than routine surveillance for VPDs targeted by the Expanded Program on Immunization. Objectives We estimate the costs associated with establishing and subsequently operating the iVPD surveillance system at a pilot site in Costa Rica. Methods We retrospectively collected data on costs incurred by the institutions supporting iVPD surveillance during the preparatory (January 2007 through August 2009) and implementation (September 2009 through August 2010) phases of the iVPD surveillance project in Costa Rica. These data were used to estimate costs for personnel, meetings, infrastructure, office equipment and supplies, transportation, and laboratory facilities. Costs incurred by each of the collaborating institutions were also estimated. Results During the preparatory phase, the estimated total cost was 128,000 U.S. dollars (US$), including 64% for personnel costs. The preparatory phase was supported by CDC and PAHO. The estimated cost for 1 year of implementation was US$ 420,000, including 58% for personnel costs, 28% for laboratory costs, and 14% for meeting, infrastructure, office, and transportation costs combined. The national reference laboratory and the PAHO Costa Rica office incurred 64% of total costs, and other local institutions supporting iVPD surveillance incurred the remaining 36%. Conclusions Countries planning to implement iVPD surveillance will require adequate investments in human resources, laboratories, data management, reporting, and

  9. Cost analysis of an integrated vaccine-preventable disease surveillance system in Costa Rica.

    PubMed

    Toscano, C M; Vijayaraghavan, M; Salazar-Bolaños, H M; Bolaños-Acuña, H M; Ruiz-González, A I; Barrantes-Solis, T; Fernández-Vargas, I; Panero, M S; de Oliveira, L H; Hyde, T B

    2013-07-02

    Following World Health Organization recommendations set forth in the Global Framework for Immunization Monitoring and Surveillance, Costa Rica in 2009 became the first country to implement integrated vaccine-preventable disease (iVPD) surveillance, with support from the U.S. Centers for Disease Control and Prevention (CDC) and the Pan American Health Organization (PAHO). As surveillance for diseases prevented by new vaccines is integrated into existing surveillance systems, these systems could cost more than routine surveillance for VPDs targeted by the Expanded Program on Immunization. We estimate the costs associated with establishing and subsequently operating the iVPD surveillance system at a pilot site in Costa Rica. We retrospectively collected data on costs incurred by the institutions supporting iVPD surveillance during the preparatory (January 2007 through August 2009) and implementation (September 2009 through August 2010) phases of the iVPD surveillance project in Costa Rica. These data were used to estimate costs for personnel, meetings, infrastructure, office equipment and supplies, transportation, and laboratory facilities. Costs incurred by each of the collaborating institutions were also estimated. During the preparatory phase, the estimated total cost was 128,000 U.S. dollars (US$), including 64% for personnel costs. The preparatory phase was supported by CDC and PAHO. The estimated cost for 1 year of implementation was US$ 420,000, including 58% for personnel costs, 28% for laboratory costs, and 14% for meeting, infrastructure, office, and transportation costs combined. The national reference laboratory and the PAHO Costa Rica office incurred 64% of total costs, and other local institutions supporting iVPD surveillance incurred the remaining 36%. Countries planning to implement iVPD surveillance will require adequate investments in human resources, laboratories, data management, reporting, and investigation. Our findings will be valuable for

  10. Timeliness of national notifiable diseases surveillance system in Korea: a cross-sectional study

    PubMed Central

    Yoo, Hyo-Soon; Park, Ok; Park, Hye-Kyung; Lee, Eun-Gyu; Jeong, Eun-Kyeong; Lee, Jong-Koo; Cho, Sung-Il

    2009-01-01

    Background With the increase of international travels, infectious disease control is gaining a greater importance across regional borders. Adequate surveillance system function is crucial to prevent a global spread of infectious disease at the earliest stage. There have been limited reports on the characteristics of infectious disease surveillance in Asia. The authors studied the timeliness of the Korean National Notifiable Disease Surveillance System with regard to major notifiable diseases from 2001 to 2006. Methods Six notifiable infectious diseases reported relatively frequently were included in this study. Five diseases were selected by the criteria of reported cases > 100 per year: typhoid fever, shigellosis, mumps, scrub typhus, and hemorrhagic fever with renal syndrome. In addition, dengue fever was also included to represent an emerging disease, despite its low number of cases. The diseases were compared for the proportion notified within the recommended time limits, median time lags, and for the cumulative distribution of time lags at each surveillance step between symptom onset and date of notification to the Korea Centers for Disease Control and Prevention (KCDC). Results The proportion of cases reported in time was lower for disease groups with a recommended time limit of 1 day compared with 7 days (60%–70% vs. > 80%). The median time from disease onset to notification to KCDC ranged between 6 and 20 days. The median time from onset to registration at the local level ranged between 2 and 15 days. Distribution of time lags showed that main delays arose in the time from onset to diagnosis. There were variations in timeliness by disease categories and surveillance steps. Conclusion Time from disease onset to diagnosis generally contributed most to the delay in reporting. It is needed to promote public education and to improve clinical guidelines. Rapid reporting by doctors should be encouraged, and unification of recommended reporting time limit can be

  11. [Chronic diseases as a priority for the public health surveillance system in Spain].

    PubMed

    Mayoral Cortes, José María; Aragonés Sanz, Nuria; Godoy, Pere; Sierra Moros, María José; Cano Portero, Rosa; González Moran, Francisco; Pousa Ortega, Ánxela

    2016-01-01

    At present, epidemiological surveillance in Spain remains focused on the communicable diseases included in the list of notifiable diseases. However, there has been a change in epidemiological pattern that predominated until the last few decades of the twentieth century. Infectious diseases, which used to be the leading causes of morbidity and mortality, have given way to a predominance of chronic diseases. In this regard, progress has been made in the drafting and adoption of specific legal regulations on public health monitoring. However, Spain has yet to develop this legislation which, among other elements, includes the mandate to organize the surveillance of non-communicable diseases in Spain. This article aims to describe some points that should be considered in the development of a national surveillance system linked to existing strategies for the prevention and control of chronic diseases.

  12. Rotavirus Surveillance at a WHO-Coordinated Invasive Bacterial Disease Surveillance Site in Bangladesh: A Feasibility Study to Integrate Two Surveillance Systems.

    PubMed

    Tanmoy, Arif Mohammad; Ahmed, Asm Nawshad Uddin; Arumugam, Rajesh; Hossain, Belal; Marzan, Mahfuza; Saha, Shampa; Arifeen, Shams El; Baqui, Abdullah H; Black, Robert E; Kang, Gagandeep; Saha, Samir Kumar

    2016-01-01

    The World Health Organization (WHO) currently coordinates rotavirus diarrhea and invasive bacterial disease (IBD) surveillance at 178 sentinel sites in 60 countries. However, only 78 sites participate in both surveillance systems using a common sentinel site. Here, we explored the feasibility of extending a WHO-IBD surveillance platform to generate data on the burden of rotaviral diarrhea and its epidemiological characteristics to prepare the countries to measure the impact of rotaviral vaccine. A six-month (July to December, 2012) surveillance, managed by IBD team, collected stool samples and clinical data from under-five children with acute watery diarrhea at an IBD sentinel site. Samples were tested for rotavirus antigen by ELISA and genotyped by PCR at the regional reference laboratory (RRL). Specimens were collected from 79% (n=297) of eligible cases (n=375); 100% of which were tested for rotavirus by ELISA and 54% (159/297) of them were positive. At RRL, all the cases were confirmed by PCR and genotyped (99%; 158/159). The typing results revealed the predominance of G12 (40%; 64/159) genotype, followed by G1 (31%; 50/159) and G9 (19%; 31/159). All in all, this exploratory surveillance collected the desired demographic and epidemiological data and achieved almost all the benchmark indicators of WHO, starting from enrollment number to quality assurance through a number of case detection, collection, and testing of specimens and genotyping of strains at RRL. The success of this WHO-IBD site in achieving these benchmark indicators of WHO can be used by WHO as a proof-of-concept for considering integration of rotavirus surveillance with WHO-IBD platforms, specifically in countries with well performing IBD site and no ongoing rotavirus surveillance.

  13. ISS--an electronic syndromic surveillance system for infectious disease in rural China.

    PubMed

    Yan, Weirong; Palm, Lars; Lu, Xin; Nie, Shaofa; Xu, Biao; Zhao, Qi; Tao, Tao; Cheng, Liwei; Tan, Li; Dong, Hengjin; Diwan, Vinod K

    2013-01-01

    Syndromic surveillance system has great advantages in promoting the early detection of epidemics and reducing the necessities of disease confirmation, and it is especially effective for surveillance in resource poor settings. However, most current syndromic surveillance systems are established in developed countries, and there are very few reports on the development of an electronic syndromic surveillance system in resource-constrained settings. This study describes the design and pilot implementation of an electronic surveillance system (ISS) for the early detection of infectious disease epidemics in rural China, complementing the conventional case report surveillance system. ISS was developed based on an existing platform 'Crisis Information Sharing Platform' (CRISP), combining with modern communication and GIS technology. ISS has four interconnected functions: 1) work group and communication group; 2) data source and collection; 3) data visualization; and 4) outbreak detection and alerting. As of Jan. 31(st) 2012, ISS has been installed and pilot tested for six months in four counties in rural China. 95 health facilities, 14 pharmacies and 24 primary schools participated in the pilot study, entering respectively 74,256, 79,701, and 2330 daily records into the central database. More than 90% of surveillance units at the study sites are able to send daily information into the system. In the paper, we also presented the pilot data from health facilities in the two counties, which showed the ISS system had the potential to identify the change of disease patterns at the community level. The ISS platform may facilitate the early detection of infectious disease epidemic as it provides near real-time syndromic data collection, interactive visualization, and automated aberration detection. However, several constraints and challenges were encountered during the pilot implementation of ISS in rural China.

  14. IMPROVING WATERBORNE DISEASE SURVEILLANCE

    EPA Science Inventory

    Public health surveillance has played a key role in controlling the spread of communicable disease and identifying the need for specific publich health practices, such as the filteration and chlorination of drinking water supplies. However, the characteristics of waterborne ou...

  15. Design and Implementation of Integrated Surveillance and Modeling Systems for Climate-Sensitive Diseases

    NASA Astrophysics Data System (ADS)

    Wimberly, M. C.; Merkord, C. L.; Davis, J. K.; Liu, Y.; Henebry, G. M.; Hildreth, M. B.

    2016-12-01

    Climatic variations have a multitude of effects on human health, ranging from the direct impacts of extreme heat events to indirect effects on the vectors and hosts that transmit infectious diseases. Disease surveillance has traditionally focused on monitoring human cases, and in some instances tracking populations sizes and infection rates of arthropod vectors and zoonotic hosts. For climate-sensitive diseases, there is a potential to strengthen surveillance and obtain early indicators of future outbreaks by monitoring environmental risk factors using broad-scale sensor networks that include earth-observing satellites as well as ground stations. We highlight the opportunities and challenges of this integration by presenting modeling results and discussing lessons learned from two projects focused on surveillance and forecasting of mosquito-borne diseases. The Epidemic Prognosis Incorporating Disease and Environmental Monitoring for Integrated Assessement (EPIDEMIA) project integrates malaria case surveillance with remotely-sensed environmental data for early detection of malaria epidemics in the Amhara region of Ethiopia and has been producing weekly forecast reports since 2015. The South Dakota Mosquito Information System (SDMIS) project similarly combines entomological surveillance with environmental monitoring to generate weekly maps for West Nile virus (WNV) in the north-central United States. We are currently implementing a new disease forecasting and risk reporting framework for the state of South Dakota during the 2016 WNV transmission season. Despite important differences in disease ecology and geographic setting, our experiences with these projects highlight several important lessons learned that can inform future efforts at disease early warning based on climatic predictors. These include the need to engage end users in system design from the outset, the critical role of automated workflows to facilitate the timely integration of multiple data streams

  16. The role of diagnostic laboratories in support of animal disease surveillance systems.

    PubMed

    Zepeda, C

    2007-01-01

    Diagnostic laboratories are an essential component of animal disease surveillance systems. To understand the occurrence of disease in populations, surveillance systems rely on random or targeted surveys using three approaches: clinical, serological and virological surveillance. Clinical surveillance is the basis for early detection of disease and is usually centered on the detection of syndromes and clinical findings requiring confirmation by diagnostic laboratories. Although most of the tests applied usually perform to an acceptable standard, several have not been properly validated in terms of their diagnostic sensitivity and specificity. Sensitivity and specificity estimates can vary according to local conditions and, ideally, should be determined by national laboratories where the tests are to be applied. The importance of sensitivity and specificity estimates in the design and interpretation of statistically based surveys and risk analysis is fundamental to establish appropriate disease control and prevention strategies. The World Organisation for Animal Health's (OIE) network of reference laboratories acts as centers of expertise for the diagnosis of OIE listed diseases and have a role in promoting the validation of OIE prescribed tests for international trade. This paper discusses the importance of the epidemiological evaluation of diagnostic tests and the role of the OIE Reference Laboratories and Collaborating Centres in this process.

  17. Surveillance-response systems: the key to elimination of tropical diseases.

    PubMed

    Tambo, Ernest; Ai, Lin; Zhou, Xia; Chen, Jun-Hu; Hu, Wei; Bergquist, Robert; Guo, Jia-Gang; Utzinger, Jürg; Tanner, Marcel; Zhou, Xiao-Nong

    2014-01-01

    Tropical diseases remain a major cause of morbidity and mortality in developing countries. Although combined health efforts brought about significant improvements over the past 20 years, communities in resource-constrained settings lack the means of strengthening their environment in directions that would provide less favourable conditions for pathogens. Still, the impact of infectious diseases is declining worldwide along with progress made regarding responses to basic health problems and improving health services delivery to the most vulnerable populations. The London Declaration on Neglected Tropical Diseases (NTDs), initiated by the World Health Organization's NTD roadmap, set out the path towards control and eventual elimination of several tropical diseases by 2020, providing an impetus for local and regional disease elimination programmes. Tropical diseases are often patchy and erratic, and there are differing priorities in resources-limited and endemic countries at various levels of their public health systems. In order to identify and prioritize strategic research on elimination of tropical diseases, the 'First Forum on Surveillance-Response System Leading to Tropical Diseases Elimination' was convened in Shanghai in June 2012. Current strategies and the NTD roadmap were reviewed, followed by discussions on how to identify and critically examine prevailing challenges and opportunities, including inter-sectoral collaboration and approaches for elimination of several infectious, tropical diseases. A priority research agenda within a 'One Health-One World' frame of global health was developed, including (i) the establishment of a platform for resource-sharing and effective surveillance-response systems for Asia Pacific and Africa with an initial focus on elimination of lymphatic filariasis, malaria and schistosomiasis; (ii) development of new strategies, tools and approaches, such as improved diagnostics and antimalarial therapies; (iii) rigorous validation of

  18. The use of community-based animal health workers to strengthen disease surveillance systems in Tanzania.

    PubMed

    Allport, R; Mosha, R; Bahari, M; Swai, E; Catley, A

    2005-12-01

    An 18 month trial was conducted in three districts of Arusha region, northern Tanzania, to assess the use of community-based animal health workers (CAHWs) in an official disease surveillance system. Disease reports provided by CAHWs were assessed using six indicators for effective disease surveillance, i.e. sensitivity, specificity, timeliness, representativeness, simplicity and acceptability. To assess sustainability issues and determine the incentives required by CAHWs to report disease, three different incentive models were tested in the trial. None of the incentive models involved direct payments to CAHWs. Before involving CAHWs in disease surveillance in the three trial districts, disease case reports as a proportion of cattle population were 0.13%, 0.20% and 0.12%. During the trial, disease case reports as a proportion of cattle population increased to 5.0%, 5.6% and 6.3%. The CAHWs also improved the spatial and temporal coverage of the disease surveillance system and provided timely reports. During the trial, national-level disease reporting in Tanzania increased by 17% owing to the sensitisation and support activities of the Pan African Programme for the Control of Epizootics in Tanzania. In Arusha region, disease reporting increased by 118%, and 49% of this improvement was attributable to increased reporting in the three trial districts. Reporting from these districts far exceeded that from any other district in Tanzania. Veterinarians confirmed the CAHWs' clinical diagnosis in 88% of the 170 clinical cases examined. The increase in disease reporting resulting from CAHW activities was sufficient to enable the national epidemiology unit to achieve its target in relation to World Organisation for Animal Health (OIE) guidelines. The authors conclude that the use of CAHWs should be promoted in the national strategy for disease reporting. Additionally, CAHWs must be brought under the control of the Tanzanian veterinary authorities, a process that will include

  19. Web-Based Surveillance Systems for Human, Animal, and Plant Diseases.

    PubMed

    Madoff, Lawrence C; Li, Annie

    2014-02-01

    The emergence of infectious diseases, caused by novel pathogens or the spread of existing ones to new populations and regions, represents a continuous threat to humans and other species. The early detection of emerging human, animal, and plant diseases is critical to preventing the spread of infection and protecting the health of our species and environment. Today, more than 75% of emerging infectious diseases are estimated to be zoonotic and capable of crossing species barriers and diminishing food supplies. Traditionally, surveillance of diseases has relied on a hierarchy of health professionals that can be costly to build and maintain, leading to a delay or interruption in reporting. However, Internet-based surveillance systems bring another dimension to epidemiology by utilizing technology to collect, organize, and disseminate information in a more timely manner. Partially and fully automated systems allow for earlier detection of disease outbreaks by searching for information from both formal sources (e.g., World Health Organization and government ministry reports) and informal sources (e.g., blogs, online media sources, and social networks). Web-based applications display disparate information online or disperse it through e-mail to subscribers or the general public. Web-based early warning systems, such as ProMED-mail, the Global Public Health Intelligence Network (GPHIN), and Health Map, have been able to recognize emerging infectious diseases earlier than traditional surveillance systems. These systems, which are continuing to evolve, are now widely utilized by individuals, humanitarian organizations, and government health ministries.

  20. Regional Disease Surveillance Meeting - Final Paper

    SciTech Connect

    Lesperance, Ann M.; Mahy, Heidi A.

    2006-08-08

    On June 1, 2006, public health officials working in surveillance, epidemiological modeling, and information technology communities from the Seattle/Tacoma area and State of Washington met with members of the Pacific Northwest National Laboratory (PNNL) to discuss the current state of disease surveillance and gaps and needs to improve the current systems. The meeting also included a discussion of PNNL initiatives that might be appropriate to enhance disease surveillance and the current tools being used for disease surveillance. Participants broke out into two groups to identify critical gaps and needs for improving a surveillance system, and discuss the requirements for developing improved surveillance. Each group developed a list of key priorities summarizing the requirements for improved surveillance. The objective of this meeting was to work towards the development of an improved disease surveillance system.

  1. A Surveillance Model for Human Avian Influenza with a Comprehensive Surveillance System for Local-Priority Communicable Diseases in South Sulawesi, Indonesia

    PubMed Central

    Hanafusa, Shigeki; Muhadir, Andi; Santoso, Hari; Tanaka, Kohtaroh; Anwar, Muhammad; Sulistyo, Erwan Tri; Hachiya, Masahiko

    2012-01-01

    The government of Indonesia and the Japan International Cooperation Agency launched a three-year project (2008–2011) to strengthen the surveillance of human avian influenza cases through a comprehensive surveillance system of local-priority communicable diseases in South Sulawesi Province. Based on findings from preliminary and baseline surveys, the project developed a technical protocol for surveillance and response activities in local settings, consistent with national guidelines. District surveillance officers (DSOs) and rapid-response-team members underwent training to improve surveillance and response skills. A network-based early warning and response system for weekly reports and a short message service (SMS) gateway for outbreak reports, both encompassing more than 20 probable outbreak diseases, were introduced to support existing paper-based systems. Two further strategies were implemented to optimize project outputs: a simulation exercise and a DSO-centered model. As a result, the timeliness of weekly reports improved from 33% in 2009 to 82% in 2011. In 2011, 65 outbreaks were reported using the SMS, with 64 subsequent paper-based reports. All suspected human avian influenza outbreaks up to September 2011 were reported in the stipulated format. A crosscutting approach using human avian influenza as the core disease for coordinating surveillance activities improved the overall surveillance system for communicable diseases. PMID:23532690

  2. A surveillance model for human avian influenza with a comprehensive surveillance system for local-priority communicable diseases in South sulawesi, indonesia.

    PubMed

    Hanafusa, Shigeki; Muhadir, Andi; Santoso, Hari; Tanaka, Kohtaroh; Anwar, Muhammad; Sulistyo, Erwan Tri; Hachiya, Masahiko

    2012-12-01

    The government of Indonesia and the Japan International Cooperation Agency launched a three-year project (2008-2011) to strengthen the surveillance of human avian influenza cases through a comprehensive surveillance system of local-priority communicable diseases in South Sulawesi Province. Based on findings from preliminary and baseline surveys, the project developed a technical protocol for surveillance and response activities in local settings, consistent with national guidelines. District surveillance officers (DSOs) and rapid-response-team members underwent training to improve surveillance and response skills. A network-based early warning and response system for weekly reports and a short message service (SMS) gateway for outbreak reports, both encompassing more than 20 probable outbreak diseases, were introduced to support existing paper-based systems. Two further strategies were implemented to optimize project outputs: a simulation exercise and a DSO-centered model. As a result, the timeliness of weekly reports improved from 33% in 2009 to 82% in 2011. In 2011, 65 outbreaks were reported using the SMS, with 64 subsequent paper-based reports. All suspected human avian influenza outbreaks up to September 2011 were reported in the stipulated format. A crosscutting approach using human avian influenza as the core disease for coordinating surveillance activities improved the overall surveillance system for communicable diseases.

  3. Will integrated surveillance systems for vectors and vector-borne diseases be the future of controlling vector-borne diseases? A practical example from China.

    PubMed

    Wu, Y; Ling, F; Hou, J; Guo, S; Wang, J; Gong, Z

    2016-07-01

    Vector-borne diseases are one of the world's major public health threats and annually responsible for 30-50% of deaths reported to the national notifiable disease system in China. To control vector-borne diseases, a unified, effective and economic surveillance system is urgently needed; all of the current surveillance systems in China waste resources and/or information. Here, we review some current surveillance systems and present a concept for an integrated surveillance system combining existing vector and vector-borne disease monitoring systems. The integrated surveillance system has been tested in pilot programmes in China and led to a 21·6% cost saving in rodent-borne disease surveillance. We share some experiences gained from these programmes.

  4. Performance Assessment of a Communicable Disease Surveillance System in Response to the Twin Earthquakes of East Azerbaijan.

    PubMed

    Babaie, Javad; Ardalan, Ali; Vatandoost, Hasan; Goya, Mohammad Mehdi; Akbari Sari, Ali

    2015-08-01

    Following the twin earthquakes on August 11, 2012, in the East Azerbaijan province of Iran, the provincial health center set up a surveillance system to monitor communicable diseases. This study aimed to assess the performance of this surveillance system. In this quantitative-qualitative study, performance of the communicable diseases surveillance system was assessed by using the updated guidelines of the Centers for Disease Control and Prevention (CDC). Qualitative data were collected through interviews with the surveillance system participants, and quantitative data were obtained from the surveillance system. The surveillance system was useful, simple, representative, timely, and flexible. The data quality, acceptability, and stability of the surveillance system were 65.6%, 10.63%, and 100%, respectively. The sensitivity and positive predictive value were not calculated owing to the absence of a gold standard. The surveillance system satisfactorily met the goals expected for its setup. The data obtained led to the control of communicable diseases in the affected areas. Required interventions based on the incidence of communicable disease were designed and implemented. The results also reassured health authorities and the public. However, data quality and acceptability should be taken into consideration and reviewed for implementation in future disasters.

  5. Strengthening health security at the Hajj mass gatherings: characteristics of the infectious diseases surveillance systems operational during the 2015 Hajj.

    PubMed

    Alotaibi, Badriah M; Yezli, Saber; Bin Saeed, Abdul-Aziz A; Turkestani, Abdulhafeez; Alawam, Amnah H; Bieh, Kingsley L

    2017-05-01

    Hajj is one of the largest and the most ethnically and culturally diverse mass gatherings worldwide. The use of appropriate surveillance systems ensures timely information management for effective planning and response to infectious diseases threats during the pilgrimage. The literature describes infectious diseases prevention and control strategies for Hajj but with limited information on the operations and characteristics of the existing Hajj infectious diseases surveillance systems. We reviewed documents, including guidelines and reports from the Saudi Ministry of Health's database, to describe the characteristics of the infectious diseases surveillance systems that were operational during the 2015 Hajj, highlighting best practices and gaps and proposing strategies for strengthening and improvement. Using Pubmed and Embase online search engines and a combination of search terms including, 'mass gatherings' 'Olympics' 'surveillance' 'Hajj' 'health security', we explored the existing literature and highlighted some lessons learnt from other international mass gatherings. A regular indicator-based infectious disease surveillance system generates routine reports from health facilities within the Kingdom to the regional and central public health directorates all year round. During Hajj, enhanced indicator-based notifiable diseases surveillance systems complement the existing surveillance tool to ensure timely reporting of event information for appropriate action by public health officials. There is need to integrate the existing Hajj surveillance data management systems and to implement syndromic surveillance as an early warning system for infectious disease control during Hajj. International engagement is important to strengthen Hajj infectious diseases surveillance and to prevent disease transmission and globalization of infectious agents which could undermine global health security.

  6. Comparative evaluation of three surveillance systems for infectious equine diseases in France and implications for future synergies.

    PubMed

    Amat, J P; Hendrikx, P; Tapprest, J; Leblond, A; Dufour, B

    2015-10-01

    It is necessary to assess surveillance systems for infectious animal diseases to ensure they meet their objectives and provide high-quality health information. Each system is generally dedicated to one disease and often comprises various components. In many animal industries, several surveillance systems are implemented separately even if they are based on similar components. This lack of synergy may prevent optimal surveillance. The purpose of this study was to assess several surveillance systems within the same industry using the semi-quantitative OASIS method and to compare the results of the assessments in order to propose improvements, including future synergies. We have focused on the surveillance of three major equine diseases in France. We have identified the mutual and specific strengths and weaknesses of each surveillance system. Furthermore, the comparative assessment has highlighted many possible synergies that could improve the effectiveness and efficiency of surveillance as a whole, including the implementation of new joint tools or the pooling of existing teams, tools or skills. Our approach is an original application of the OASIS method, which requires minimal financial resources and is not very time-consuming. Such a comparative evaluation could conceivably be applied to other surveillance systems, other industries and other countries. This approach would be especially relevant to enhance the efficiency of surveillance activities when resources are limited.

  7. Significance of the development of a cardiovascular disease surveillance and reporting system in India.

    PubMed

    Coelho, Ken Russell

    2013-09-01

    Cardiovascular disease (CVD) is the single largest cause of global morbidity and mortality and is the leading cause of death in the Indian subcontinent projected to contribute to deaths expected to double by 2015. The social and economic impact of these staggering projections highlight the need for a centralized effort to monitor and evaluate behavioral and physiological risk factors for CVD. Limited evidence on existing surveillance systems suggest that the key to an effective monitoring and evaluation (M and E) program for CVD surveillance in India relies upon the World Health Organization's STEP-wise model. Key recommendations for the Ministry of Health include the development of a national CVD surveillance program with expertise and a quality-improvement mechanism to receive continuous input from similar surveillance programs in likeminded countries. Structure of the surveillance system would include; (1) the development of process measures for CVD risk factor' based surveillance M and E systems for early detection of CVD at the local-level, (2) the development of trigger based data reporting responsibilities to State-based monitoring teams including incentives for accuracy in data reporting and the use of data-driven evidence to target risk specific intervention and prevention on Central Government monitoring teams with reporting feedback to the State and local-levels and (3) the creation of health policy to require the use of data to target risk specific prevention for intervention and developing local technical capacity. Such a system would provide significant cost and social benefits, presenting an evidence based data driven cost-effective business case for scale-up and potential use in areas comprising similar demographics. Future research should focus on the inclusion of a systematic critique of the reported data for the challenges to surveillance systems in India and the examination of the effect of an incentivized reporting system on the states. Further

  8. State and Local Chronic Disease Surveillance Using Electronic Health Record Systems.

    PubMed

    Klompas, Michael; Cocoros, Noelle M; Menchaca, John T; Erani, Diana; Hafer, Ellen; Herrick, Brian; Josephson, Mark; Lee, Michael; Payne Weiss, Michelle D; Zambarano, Bob; Eberhardt, Karen R; Malenfant, Jessica; Nasuti, Laura; Land, Thomas

    2017-09-01

    To assess the feasibility of chronic disease surveillance using distributed analysis of electronic health records and to compare results with Behavioral Risk Factor Surveillance System (BRFSS) state and small-area estimates. We queried the electronic health records of 3 independent Massachusetts-based practice groups using a distributed analysis tool called MDPHnet to measure the prevalence of diabetes, asthma, smoking, hypertension, and obesity in adults for the state and 13 cities. We adjusted observed rates for age, gender, and race/ethnicity relative to census data and compared them with BRFSS state and small-area estimates. The MDPHnet population under surveillance included 1 073 545 adults (21.8% of the state adult population). MDPHnet and BRFSS state-level estimates were similar: 9.4% versus 9.7% for diabetes, 10.0% versus 12.0% for asthma, 13.5% versus 14.7% for smoking, 26.3% versus 29.6% for hypertension, and 22.8% versus 23.8% for obesity. Correlation coefficients for MDPHnet versus BRFSS small-area estimates ranged from 0.890 for diabetes to 0.646 for obesity. Chronic disease surveillance using electronic health record data is feasible and generates estimates comparable with BRFSS state and small-area estimates.

  9. Measuring the performance of telephone-based disease surveillance systems in local health departments.

    PubMed

    Dausey, David J; Chandra, Anita; Schaefer, Agnes G; Bahney, Ben; Haviland, Amelia; Zakowski, Sarah; Lurie, Nicole

    2008-09-01

    We tested telephone-based disease surveillance systems in local health departments to identify system characteristics associated with consistent and timely responses to urgent case reports. We identified a stratified random sample of 74 health departments and conducted a series of unannounced tests of their telephone-based surveillance systems. We used regression analyses to identify system characteristics that predicted fast connection with an action officer (an appropriate public health professional). Optimal performance in consistently connecting callers with an action officer in 30 minutes or less was achieved by 31% of participating health departments. Reaching a live person upon dialing, regardless of who that person was, was the strongest predictor of optimal performance both in being connected with an action officer and in consistency of connection times. Health departments can achieve optimal performance in consistently connecting a caller with an action officer in 30 minutes or less and may improve performance by using a telephone-based disease surveillance system in which the phone is answered by a live person at all times.

  10. Surveillance and response systems for elimination of tropical diseases: summary of a thematic series in Infectious Diseases of Poverty.

    PubMed

    Zhou, Xia; Yap, Peiling; Tanner, Marcel; Bergquist, Robert; Utzinger, Jürg; Zhou, Xiao-Nong

    2016-05-14

    The peer-reviewed journal Infectious Diseases of Poverty provides a new platform to engage with, and disseminate in an open-access format, science outside traditional disciplinary boundaries. The current piece reviews a thematic series on surveillance-response systems for elimination of tropical diseases. Overall, 22 contributions covering a broad array of diseases are featured - i.e. clonorchiasis, dengue, hepatitis, human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS), H7N9 avian influenza, lymphatic filariasis, malaria, Middle East respiratory syndrome (MERS), rabies, schistosomiasis and tuberculosis (TB). There are five scoping reviews, a commentary, a letter to the editor, an opinion piece and an editorial pertaining to the theme "Elimination of tropical disease through surveillance and response". The remaining 13 articles are original contributions mainly covering (i) drug resistance; (ii) innovation and validation in the field of mathematical modelling; (iii) elimination of infectious diseases; and (iv) social media reports on disease outbreak notifications released by national health authorities. Analysis of the authors' affiliations reveals that scientists from the People's Republic of China (P.R. China) are prominently represented. Possible explanations include the fact that the 2012 and 2014 international conferences pertaining to surveillance-response mechanisms were both hosted by the National Institute of Parasitic Diseases (NIPD) in Shanghai, coupled with P.R. China's growing importance with regard to the control of infectious diseases. Within 4 to 22 months of publication, three of the 22 contributions were viewed more than 10 000 times each. With sustained efforts focusing on relevant and strategic information towards control and elimination of infectious diseases, Infectious Diseases of Poverty has become a leading journal in the field of surveillance and response systems in infectious diseases and beyond.

  11. Assessment of the core and support functions of the Integrated Disease Surveillance system in Maharashtra, India

    PubMed Central

    2013-01-01

    Background Monitoring the progress of the Integrated Disease Surveillance (IDS) strategy is an important component to ensure its sustainability in the state of Maharashtra in India. The purpose of the study was to document the baseline performance of the system on its core and support functions and to understand the challenges for its transition from an externally funded “project” to a state owned surveillance “program”. Methods Multi-centre, retrospective cross-sectional evaluation study to assess the structure, core and support surveillance functions using modified WHO generic questionnaires. All 34 districts in the state and randomly identified 46 facilities and 25 labs were included in the study. Results Case definitions were rarely used at the periphery. Limited laboratory capacity at all levels compromised case and outbreak confirmation. Only 53% districts could confirm all priority diseases. Stool sample processing was the weakest at the periphery. Availability of transport media, trained staff, and rapid diagnostic tests were main challenges at the periphery. Data analysis was weak at both district and facility levels. Outbreak thresholds were better understood at facility level (59%) than at the district (18%). None of the outbreak indicator targets were met and submission of final outbreak report was the weakest. Feedback and training was significantly better (p < 0.0001) at district level (65%; 76%) than at facility level (15%; 37%). Supervision was better at the facility level (37%) than at district (18%) and so were coordination, communication and logistic resources. Contractual part time positions, administrative delays in recruitment, and vacancies (30%) were main human resource issues that hampered system performance. Conclusions Significant progress has been made in the core and support surveillance functions in Maharashtra, however some challenges exist. Support functions (laboratory, transport and communication equipment, training

  12. Assessment of the core and support functions of the Integrated Disease Surveillance system in Maharashtra, India.

    PubMed

    Phalkey, Revati K; Shukla, Sharvari; Shardul, Savita; Ashtekar, Nutan; Valsa, Sapna; Awate, Pradip; Marx, Michael

    2013-06-13

    Monitoring the progress of the Integrated Disease Surveillance (IDS) strategy is an important component to ensure its sustainability in the state of Maharashtra in India. The purpose of the study was to document the baseline performance of the system on its core and support functions and to understand the challenges for its transition from an externally funded "project" to a state owned surveillance "program". Multi-centre, retrospective cross-sectional evaluation study to assess the structure, core and support surveillance functions using modified WHO generic questionnaires. All 34 districts in the state and randomly identified 46 facilities and 25 labs were included in the study. Case definitions were rarely used at the periphery. Limited laboratory capacity at all levels compromised case and outbreak confirmation. Only 53% districts could confirm all priority diseases. Stool sample processing was the weakest at the periphery. Availability of transport media, trained staff, and rapid diagnostic tests were main challenges at the periphery. Data analysis was weak at both district and facility levels. Outbreak thresholds were better understood at facility level (59%) than at the district (18%). None of the outbreak indicator targets were met and submission of final outbreak report was the weakest. Feedback and training was significantly better (p < 0.0001) at district level (65%; 76%) than at facility level (15%; 37%). Supervision was better at the facility level (37%) than at district (18%) and so were coordination, communication and logistic resources. Contractual part time positions, administrative delays in recruitment, and vacancies (30%) were main human resource issues that hampered system performance. Significant progress has been made in the core and support surveillance functions in Maharashtra, however some challenges exist. Support functions (laboratory, transport and communication equipment, training, supervision, human and other resources) are

  13. Threats to information security of real-time disease surveillance systems.

    PubMed

    Henriksen, Eva; Johansen, Monika A; Baardsgaard, Anders; Bellika, Johan G

    2009-01-01

    This paper presents the main results from a qualitative risk assessment of information security aspects for a new real-time disease surveillance approach in general, and for the Snow surveillance system in particular. All possible security threats and acceptable solutions, and the implications these solutions had to the design of the system, were discussed. Approximately 30 threats were identified. None of these got an unacceptable high risk level originally, but two got medium risk level, of which one was concluded to be unacceptable after further investigation. Of the remaining low risk threats, some have severe consequence, thus requiring particular assessment. Since it is very important to identify and solve all security threats before real-time solutions can be used in a wide scale, additional investigations are needed.

  14. Comparison of Statistical Algorithms for the Detection of Infectious Disease Outbreaks in Large Multiple Surveillance Systems

    PubMed Central

    Farrington, C. Paddy; Noufaily, Angela; Andrews, Nick J.; Charlett, Andre

    2016-01-01

    A large-scale multiple surveillance system for infectious disease outbreaks has been in operation in England and Wales since the early 1990s. Changes to the statistical algorithm at the heart of the system were proposed and the purpose of this paper is to compare two new algorithms with the original algorithm. Test data to evaluate performance are created from weekly counts of the number of cases of each of more than 2000 diseases over a twenty-year period. The time series of each disease is separated into one series giving the baseline (background) disease incidence and a second series giving disease outbreaks. One series is shifted forward by twelve months and the two are then recombined, giving a realistic series in which it is known where outbreaks have been added. The metrics used to evaluate performance include a scoring rule that appropriately balances sensitivity against specificity and is sensitive to variation in probabilities near 1. In the context of disease surveillance, a scoring rule can be adapted to reflect the size of outbreaks and this was done. Results indicate that the two new algorithms are comparable to each other and better than the algorithm they were designed to replace. PMID:27513749

  15. Evaluation of the national Notifiable Diseases Surveillance System for dengue fever in Taiwan, 2010-2012.

    PubMed

    McKerr, Caoimhe; Lo, Yi-Chun; Edeghere, Obaghe; Bracebridge, Sam

    2015-03-01

    In Taiwan, around 1,500 cases of dengue fever are reported annually and incidence has been increasing over time. A national web-based Notifiable Diseases Surveillance System (NDSS) has been in operation since 1997 to monitor incidence and trends and support case and outbreak management. We present the findings of an evaluation of the NDSS to ascertain the extent to which dengue fever surveillance objectives are being achieved. We extracted the NDSS data on all laboratory-confirmed dengue fever cases reported during 1 January 2010 to 31 December 2012 to assess and describe key system attributes based on the Centers for Disease Control and Prevention surveillance evaluation guidelines. The system's structure and processes were delineated and operational staff interviewed using a semi-structured questionnaire. Crude and age-adjusted incidence rates were calculated and key demographic variables were summarised to describe reporting activity. Data completeness and validity were described across several variables. Of 5,072 laboratory-confirmed dengue fever cases reported during 2010-2012, 4,740 (93%) were reported during July to December. The system was judged to be simple due to its minimal reporting steps. Data collected on key variables were correctly formatted and usable in > 90% of cases, demonstrating good data completeness and validity. The information collected was considered relevant by users with high acceptability. Adherence to guidelines for 24-hour reporting was 99%. Of 720 cases (14%) recorded as travel-related, 111 (15%) had an onset >14 days after return, highlighting the potential for misclassification. Information on hospitalization was missing for 22% of cases. The calculated PVP was 43%. The NDSS for dengue fever surveillance is a robust, well maintained and acceptable system that supports the collection of complete and valid data needed to achieve the surveillance objectives. The simplicity of the system engenders compliance leading to timely and

  16. Evaluation of the National Notifiable Diseases Surveillance System for Dengue Fever in Taiwan, 2010–2012

    PubMed Central

    McKerr, Caoimhe; Lo, Yi-Chun; Edeghere, Obaghe; Bracebridge, Sam

    2015-01-01

    Background In Taiwan, around 1,500 cases of dengue fever are reported annually and incidence has been increasing over time. A national web-based Notifiable Diseases Surveillance System (NDSS) has been in operation since 1997 to monitor incidence and trends and support case and outbreak management. We present the findings of an evaluation of the NDSS to ascertain the extent to which dengue fever surveillance objectives are being achieved. Methodology We extracted the NDSS data on all laboratory-confirmed dengue fever cases reported during 1 January 2010 to 31 December 2012 to assess and describe key system attributes based on the Centers for Disease Control and Prevention surveillance evaluation guidelines. The system’s structure and processes were delineated and operational staff interviewed using a semi-structured questionnaire. Crude and age-adjusted incidence rates were calculated and key demographic variables were summarised to describe reporting activity. Data completeness and validity were described across several variables. Principal Findings Of 5,072 laboratory-confirmed dengue fever cases reported during 2010–2012, 4,740 (93%) were reported during July to December. The system was judged to be simple due to its minimal reporting steps. Data collected on key variables were correctly formatted and usable in > 90% of cases, demonstrating good data completeness and validity. The information collected was considered relevant by users with high acceptability. Adherence to guidelines for 24-hour reporting was 99%. Of 720 cases (14%) recorded as travel-related, 111 (15%) had an onset >14 days after return, highlighting the potential for misclassification. Information on hospitalization was missing for 22% of cases. The calculated PVP was 43%. Conclusions/Significance The NDSS for dengue fever surveillance is a robust, well maintained and acceptable system that supports the collection of complete and valid data needed to achieve the surveillance objectives. The

  17. Automated graphic image generation system for effective representation of infectious disease surveillance data.

    PubMed

    Inoue, Masashi; Hasegawa, Shinsaku; Suyama, Akihiko; Meshitsuka, Shunsuke

    2003-11-01

    Infectious disease surveillance schemes have been established to detect infectious disease outbreak in the early stages, to identify the causative viral strains, and to rapidly assess related morbidity and mortality. To make a scheme function well, two things are required. Firstly, it must have sufficient sensitivity and be timely to guarantee as short a delay as possible from collection to redistribution of information. Secondly, it must provide a good representation of the results of the surveillance. To do this, we have developed a database system that can redistribute the information via the Internet. The feature of this system is to automatically generate the graphic images based on the numerical data stored in the database by using Hypertext Preprocessor (PHP) script and Graphics Drawing (GD) library. It dynamically displays the information as a map or bar chart as well as a numerical impression according to the real time demand of the users. This system will be a useful tool for medical personnel and researchers working on infectious disease problems and will save significant time in the redistribution of information.

  18. International Circumpolar Surveillance System for Invasive Pneumococcal Disease, 1999–2005

    PubMed Central

    Deeks, Shelley L.; Zulz, Tammy; Bruden, Dana; Navarro, Christine; Lovgren, Marguerite; Jette, Louise; Kristinsson, Karl; Sigmundsdottir, Gudrun; Jensen, Knud Brinkløv; Lovoll, Oistein; Nuorti, J. Pekka; Herva, Elja; Nystedt, Anders; Sjostedt, Anders; Koch, Anders; Hennessy, Thomas W.; Parkinson, Alan J.

    2008-01-01

    The International Circumpolar Surveillance System is a population-based surveillance network for invasive bacterial disease in the Arctic. The 7-valent pneumococcal conjugate vaccine (PCV7) was introduced for routine infant vaccination in Alaska (2001), northern Canada (2002–2006), and Norway (2006). Data for invasive pneumococcal disease (IPD) were analyzed to identify clinical findings, disease rates, serotype distribution, and antimicrobial drug susceptibility; 11,244 IPD cases were reported. Pneumonia and bacteremia were common clinical findings. Rates of IPD among indigenous persons in Alaska and northern Canada were 43 and 38 cases per 100,000 population, respectively. Rates in children <2 years of age ranged from 21 to 153 cases per 100,000 population. In Alaska and northern Canada, IPD rates in children <2 years of age caused by PCV7 serotypes decreased by >80% after routine vaccination. IPD rates are high among indigenous persons and children in Arctic countries. After vaccine introduction, IPD caused by non-PCV7 serotypes increased in Alaska. PMID:18258073

  19. The pediatric disease spectrum in emergency departments across Pakistan: data from a pilot surveillance system

    PubMed Central

    2015-01-01

    Background There is an increasing number of urgently ill and injured children being seen in emergency departments (ED) of developing countries. The pediatric disease burden in EDs across Pakistan is generally unknown. Our main objective was to determine the spectrum of disease and injury among children seen in EDs in Pakistan through a nationwide ED-based surveillance system. Methods Through the Pakistan National Emergency Department Surveillance (Pak-NEDS), data were collected from November 2010 to March 2011 in seven major tertiary care centers representing all provinces of Pakistan. These included five public and two private hospitals, with a collective annual census of over one million ED encounters. Results Of 25,052 children registered in Pak-NEDS (10% of all patients seen): 61% were male, 13% under 5 years, while almost 65% were between 10 to < 16 years. The majority (90%) were seen in public hospital EDs. About half the patients were discharged from the EDs, 9% admitted to hospitals and only 1.3% died in the EDs. Injury (39%) was the most common presenting complaint, followed by fever/malaise (19%) and gastrointestinal symptoms (18%). Injury was more likely in males vs. females (43% vs. 33%; p < 0.001), with a peak presentation in the 5-12 year age group (45%). Conclusions Pediatric patients constitute a smaller proportion among general ED users in Pakistan. Injury is the most common presenting complaint for children seen in the ED. These data will help in resource allocation for cost effective pediatric ED service delivery systems. Prospective longer duration surveillance is needed in more representative pediatric EDs across Pakistan. PMID:26691052

  20. How outbreaks of infectious disease are detected: a review of surveillance systems and outbreaks.

    PubMed Central

    Dato, Virginia; Wagner, Michael M.; Fapohunda, Abi

    2004-01-01

    To learn how outbreaks of infectious disease are detected and to describe the entities and information systems that together function to identify outbreaks in the U.S., the authors drew on multiple sources of information to create a description of existing surveillance systems and how they interact to detect outbreaks. The results of this analysis were summarized in a system diagram. The authors reviewed a sample of recent outbreaks to determine how they were detected, with reference to the system diagram. The de facto U.S. system for detection of outbreaks consists of five components: the clinical health care system, local/state health agencies, federal agencies, academic/professional organizations, and collaborating governmental organizations. Primary data collection occurs at the level of clinical health care systems and local health agencies. The review of a convenience sample of outbreaks showed that all five components of the system participated in aggregating, analyzing, and sharing data. The authors conclude that the current U.S. approach to detection of disease outbreaks is complex and involves many organizations interacting in a loosely coupled manner. State and local health departments and the health care system are major components in the detection of outbreaks. PMID:15313109

  1. Vector Borne Infections in Italy: Results of the Integrated Surveillance System for West Nile Disease in 2013

    PubMed Central

    Napoli, Christian; Di Sabatino, Daria; Martini, Vanessa; Santucci, Vincenzo Ugo; Declich, Silvia

    2015-01-01

    The epidemiology of West Nile disease (WND) is influenced by multiple ecological factors and, therefore, integrated surveillance systems are needed for early detecting the infection and activating consequent control actions. As different animal species have different importance in the maintenance and in the spread of the infection, a multispecies surveillance approach is required. An integrated and comprehensive surveillance system is in place in Italy aiming at early detecting the virus introduction, monitoring the possible infection spread, and implementing preventive measures for human health. This paper describes the integrated surveillance system for WND in Italy, which incorporates data from veterinary and human side in order to evaluate the burden of infection in animals and humans and provide the public health authorities at regional and national levels with the information needed for a fine tune response. PMID:25874224

  2. Vector borne infections in Italy: results of the integrated surveillance system for West Nile disease in 2013.

    PubMed

    Napoli, Christian; Iannetti, Simona; Rizzo, Caterina; Bella, Antonino; Di Sabatino, Daria; Bruno, Rossana; Sauro, Francesca; Martini, Vanessa; Santucci, Vincenzo Ugo; Declich, Silvia; Calistri, Paolo

    2015-01-01

    The epidemiology of West Nile disease (WND) is influenced by multiple ecological factors and, therefore, integrated surveillance systems are needed for early detecting the infection and activating consequent control actions. As different animal species have different importance in the maintenance and in the spread of the infection, a multispecies surveillance approach is required. An integrated and comprehensive surveillance system is in place in Italy aiming at early detecting the virus introduction, monitoring the possible infection spread, and implementing preventive measures for human health. This paper describes the integrated surveillance system for WND in Italy, which incorporates data from veterinary and human side in order to evaluate the burden of infection in animals and humans and provide the public health authorities at regional and national levels with the information needed for a fine tune response.

  3. Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health

    PubMed Central

    Salathé, Marcel

    2016-01-01

    The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have complementary strengths—high veracity in the data from traditional sources and high velocity and variety in patient-generated data—they can be combined to build more-robust public health systems. However, they also have unique challenges. Patient-generated data in particular are often completely unstructured and highly context dependent, posing essentially a machine-learning challenge. Some recent examples from infectious disease surveillance and adverse drug event monitoring demonstrate that the technical challenges can be solved. Despite these advances, the problem of verification remains, and unless traditional and digital epidemiologic approaches are combined, these data sources will be constrained by their intrinsic limits.

  4. Methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations.

    PubMed Central

    Reddy, K. S.; Prabhakaran, D.; Chaturvedi, V.; Jeemon, P.; Thankappan, K. R.; Ramakrishnan, L.; Mohan, B. V. M.; Pandav, C. S.; Ahmed, F. U.; Joshi, P. P.; Meera, R.; Amin, R. B.; Ahuja, R. C.; Das, M. S.; Jaison, T. M.

    2006-01-01

    OBJECTIVE: To establish a surveillance network for cardiovascular diseases (CVD) risk factors in industrial settings and estimate the risk factor burden using standardized tools. METHODS: We conducted a baseline cross-sectional survey (as part of a CVD surveillance programme) of industrial populations from 10 companies across India, situated in close proximity to medical colleges that served as study centres. The study subjects were employees (selected by age and sex stratified random sampling) and their family members. Information on behavioural, clinical and biochemical determinants was obtained through standardized methods (questionnaires, clinical measurements and biochemical analysis). Data collation and analyses were done at the national coordinating centre. FINDINGS: We report the prevalence of CVD risk factors among individuals aged 20-69 years (n = 19 973 for the questionnaire survey, n = 10 442 for biochemical investigations); mean age was 40 years. The overall prevalence of most risk factors was high, with 50.9% of men and 51.9% of women being overweight, central obesity was observed among 30.9% of men and 32.8% of women, and 40.2% of men and 14.9% of women reported current tobacco use. Self-reported prevalence of diabetes (5.3%) and hypertension (10.9%) was lower than when measured clinically and biochemically (10.1% and 27.7%, respectively). There was marked heterogeneity in the prevalence of risk factors among the study centres. CONCLUSION: There is a high burden of CVD risk factors among industrial populations across India. The surveillance system can be used as a model for replication in India as well as other developing countries. PMID:16799730

  5. Respiratory disease surveillance in Hungary

    SciTech Connect

    Agocs, M.M.; Rudnai, P.; Etzel, R.A. )

    1992-08-28

    In October 1989, the Hungarian National Institute of Hygiene initiated the Children's Acute Respiratory Morbidity (CHARM) Surveillance System to assess the association between nine reportable respiratory diseases and air pollution. The weekly number of physician-diagnosed, reportable respiratory diseases among four age groups of children (less than 1, 1-2, 3-5, and 6-14 years) was tabulated for Sopron, a city with 60,000 residents. We calculated the proportion of diseases occurring during weeks with low, moderate, and high sulfur dioxide (SO2) and nitrogen dioxide (NO2) concentrations. The weekly averages of the 24-hour median SO2 concentrations were divided into thirds at less than or equal to 17.6, greater than 17.6 to less than or equal to 26.3, and greater than 26.3 micrograms/m3 (range: 0.9-79.6 micrograms/m3), and the NO2 concentrations at less than or equal to 29.8, greater than 29.8 to less than or equal to 44.1, and greater than 44.1 micrograms/m3 (range: 4.2-90.1 micrograms/m3). During 1990, 11,474 respiratory disease cases occurred among the 4,020 children less than 15 years of age living in Sopron and monitored by the CHARM system. The two most frequently reported disease categories were rhinitis/tonsillitis/pharyngitis (71.5%) and acute bronchitis (8.5%). Sixty-seven percent of pneumonia cases occurred when SO2 concentrations were highest. We found no association between levels of NO2 and respiratory diseases. The CHARM Surveillance System may characterize more fully which groups of children develop particular respiratory diseases following exposure to air pollution.

  6. Real-Time Monitoring of School Absenteeism to Enhance Disease Surveillance: A Pilot Study of a Mobile Electronic Reporting System

    PubMed Central

    Lawpoolsri, Saranath; Khamsiriwatchara, Amnat; Liulark, Wongwat; Taweeseneepitch, Komchaluch; Sangvichean, Aumnuyphan; Thongprarong, Wiraporn; Kaewkungwal, Jaranit

    2014-01-01

    Background School absenteeism is a common source of data used in syndromic surveillance, which can eventually be used for early outbreak detection. However, the absenteeism reporting system in most schools, especially in developing countries, relies on a paper-based method that limits its use for disease surveillance or outbreak detection. Objective The objective of this study was to develop an electronic real-time reporting system on school absenteeism for syndromic surveillance. Methods An electronic (Web-based) school absenteeism reporting system was developed to embed it within the normal routine process of absenteeism reporting. This electronic system allowed teachers to update students' attendance status via mobile tablets. The data from all classes and schools were then automatically sent to a centralized database for further analysis and presentation, and for monitoring temporal and spatial patterns of absent students. In addition, the system also had a disease investigation module, which provided a link between absenteeism data from schools and local health centers, to investigate causes of fever among sick students. Results The electronic school absenteeism reporting system was implemented in 7 primary schools in Bangkok, Thailand, with total participation of approximately 5000 students. During May-October 2012 (first semester), the percentage of absentees varied between 1% and 10%. The peak of school absenteeism (sick leave) was observed between July and September 2012, which coincided with the peak of dengue cases in children aged 6-12 years being reported to the disease surveillance system. Conclusions The timeliness of a reporting system is a critical function in any surveillance system. Web-based application and mobile technology can potentially enhance the use of school absenteeism data for syndromic surveillance and outbreak detection. This study presents the factors that determine the implementation success of this reporting system. PMID:25099501

  7. Real-time monitoring of school absenteeism to enhance disease surveillance: a pilot study of a mobile electronic reporting system.

    PubMed

    Lawpoolsri, Saranath; Khamsiriwatchara, Amnat; Liulark, Wongwat; Taweeseneepitch, Komchaluch; Sangvichean, Aumnuyphan; Thongprarong, Wiraporn; Kaewkungwal, Jaranit; Singhasivanon, Pratap

    2014-05-12

    School absenteeism is a common source of data used in syndromic surveillance, which can eventually be used for early outbreak detection. However, the absenteeism reporting system in most schools, especially in developing countries, relies on a paper-based method that limits its use for disease surveillance or outbreak detection. The objective of this study was to develop an electronic real-time reporting system on school absenteeism for syndromic surveillance. An electronic (Web-based) school absenteeism reporting system was developed to embed it within the normal routine process of absenteeism reporting. This electronic system allowed teachers to update students' attendance status via mobile tablets. The data from all classes and schools were then automatically sent to a centralized database for further analysis and presentation, and for monitoring temporal and spatial patterns of absent students. In addition, the system also had a disease investigation module, which provided a link between absenteeism data from schools and local health centers, to investigate causes of fever among sick students. The electronic school absenteeism reporting system was implemented in 7 primary schools in Bangkok, Thailand, with total participation of approximately 5000 students. During May-October 2012 (first semester), the percentage of absentees varied between 1% and 10%. The peak of school absenteeism (sick leave) was observed between July and September 2012, which coincided with the peak of dengue cases in children aged 6-12 years being reported to the disease surveillance system. The timeliness of a reporting system is a critical function in any surveillance system. Web-based application and mobile technology can potentially enhance the use of school absenteeism data for syndromic surveillance and outbreak detection. This study presents the factors that determine the implementation success of this reporting system.

  8. Assessment of the infectious diseases surveillance system of the Republic of Armenia: an example of surveillance in the Republics of the former Soviet Union

    PubMed Central

    Wuhib, Tadesse; Chorba, Terence L; Davidiants, Vladimir; Mac Kenzie, William R; McNabb, Scott JN

    2002-01-01

    Background Before 1991, the infectious diseases surveillance systems (IDSS) of the former Soviet Union (FSU) were centrally planned in Moscow. The dissolution of the FSU resulted in economic stresses on public health infrastructure. At the request of seven FSU Ministries of Health, we performed assessments of the IDSS designed to guide reform. The assessment of the Armenian infectious diseases surveillance system (AIDSS) is presented here as a prototype. Discussion We performed qualitative assessments using the Centers for Disease Control and Prevention (CDC) guidelines for evaluating surveillance systems. Until 1996, the AIDSS collected aggregate and case-based data on 64 infectious diseases. It collected information on diseases of low pathogenicity (e.g., pediculosis) and those with no public health intervention (e.g., infectious mononucleosis). The specificity was poor because of the lack of case definitions. Most cases were investigated using a lengthy, non-disease-specific case-report form Armenian public health officials analyzed data descriptively and reported data upward from the local to national level, with little feedback. Information was not shared across vertical programs. Reform should focus on enhancing usefulness, efficiency, and effectiveness by reducing the quantity of data collected and revising reporting procedures and information types; improving the quality, analyses, and use of data at different levels; reducing system operations costs; and improving communications to reporting sources. These recommendations are generalizable to other FSU republics. Summary The AIDSS was complex and sensitive, yet costly and inefficient. The flexibility, representativeness, and timeliness were good because of a comprehensive health-care system and compulsory reporting. Some data were questionable and some had no utility. PMID:11914147

  9. Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health.

    PubMed

    Salathé, Marcel

    2016-12-01

    The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have complementary strengths-high veracity in the data from traditional sources and high velocity and variety in patient-generated data-they can be combined to build more-robust public health systems. However, they also have unique challenges. Patient-generated data in particular are often completely unstructured and highly context dependent, posing essentially a machine-learning challenge. Some recent examples from infectious disease surveillance and adverse drug event monitoring demonstrate that the technical challenges can be solved. Despite these advances, the problem of verification remains, and unless traditional and digital epidemiologic approaches are combined, these data sources will be constrained by their intrinsic limits. © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America.

  10. Rapid establishment of an internally displaced persons disease surveillance system after an earthquake --- Haiti, 2010.

    PubMed

    2010-08-06

    On January 12, 2010, a 7.0-magnitude earthquake in Haiti disrupted infrastructure and displaced approximately 2 million persons, causing increased risk for communicable diseases from overcrowding and poor living conditions. Hundreds of nongovernmental organizations (NGOs) established health-care clinics in camps of internally displaced persons (IDPs). To monitor conditions of outbreak potential identified at NGO camp clinics, on February 18, the Haiti Ministry of Public Health and Population (MSPP), the Pan-American Health Organization (PAHO), and CDC implemented the IDP Surveillance System (IDPSS). The Inter-Agency Standing Committee (IASC) "cluster approach" was used to coordinate the Haiti humanitarian response. One of 11 clusters, the Global Health Cluster (GHC), builds global capacity, whereas the country-level cluster (in this case, the Haitian Health Cluster [HHC], led by PAHO) responds locally. During the Haiti response, HHC engaged NGOs serving large camps, established IDPSS, followed trends of reportable conditions, undertook epidemiologic and laboratory investigations, and fostered implementation of control measures. This report describes the design and implementation of IDPSS in the post-earthquake period. The primary challenges to implementing IDPSS were communication difficulties with an ever-changing group of NGO partners and limitations to the utility of IDPSS data because of lack of reliable camp population denominator estimates. The IDPSS experience reinforces the need to improve local communication and coordination strategies. Improving future humanitarian response requires advance development and distribution of easily adaptable standard surveillance tools, development of an interdisciplinary strategy for an early and reliable population census, and development of communication strategies using locally available Internet and cellular networks.

  11. Design and implementation of a Space-Time Intelligence System for disease surveillance

    NASA Astrophysics Data System (ADS)

    Jacquez, Geoffrey M.; Greiling, Dunrie A.; Kaufmann, Andrew M.

    2005-05-01

    Modeling chronic and infectious diseases entails tracking and describing individuals and their attributes (such as disease status, date of diagnosis, risk factors and so on) as they move and change through space and time. Using Geographic Information Systems, researchers can model, visualize and query spatial data, but their ability to address time has been limited by the lack of temporal referencing in the underlying data structures. In this paper, we discuss issues in designing data structures, indexing, and queries for spatio-temporal data within the context of health surveillance. We describe a space-time object model that treats modeled individuals as a chain of linked observations comprised of an ID, space-time coordinate, and time-referenced attributes. Movement models for these modeled individuals are functions that may be simple (e.g. linear, using vector representation) or more complex. We present several spatial, temporal, spatio-temporal and epidemiological queries emergent from the data model. We demonstrate this approach in a representative application, a simulation of the spread of influenza in a hospital ward.

  12. Integrated Disease Investigations and Surveillance planning: a systems approach to strengthening national surveillance and detection of events of public health importance in support of the International Health Regulations.

    PubMed

    Taboy, Celine H; Chapman, Will; Albetkova, Adilya; Kennedy, Sarah; Rayfield, Mark A

    2010-12-03

    The international community continues to define common strategic themes of actions to improve global partnership and international collaborations in order to protect our populations. The International Health Regulations (IHR[2005]) offer one of these strategic themes whereby World Health Organization (WHO) Member States and global partners engaged in biosecurity, biosurveillance and public health can define commonalities and leverage their respective missions and resources to optimize interventions. The U.S. Defense Threat Reduction Agency's Cooperative Biological Engagement Program (CBEP) works with partner countries across clinical, veterinary, epidemiological, and laboratory communities to enhance national disease surveillance, detection, diagnostic, and reporting capabilities. CBEP, like many other capacity building programs, has wrestled with ways to improve partner country buy-in and ownership and to develop sustainable solutions that impact integrated disease surveillance outcomes. Designing successful implementation strategies represents a complex and challenging exercise and requires robust and transparent collaboration at the country level. To address this challenge, the Laboratory Systems Development Branch of the U.S. Centers for Disease Control and Prevention (CDC) and CBEP have partnered to create a set of tools that brings together key leadership of the surveillance system into a deliberate system design process. This process takes into account strengths and limitations of the existing system, how the components inter-connect and relate to one another, and how they can be systematically refined within the local context. The planning tools encourage cross-disciplinary thinking, critical evaluation and analysis of existing capabilities, and discussions across organizational and departmental lines toward a shared course of action and purpose. The underlying concepts and methodology of these tools are presented here.

  13. Integrated Disease Investigations and Surveillance planning: a systems approach to strengthening national surveillance and detection of events of public health importance in support of the International Health Regulations

    PubMed Central

    2010-01-01

    The international community continues to define common strategic themes of actions to improve global partnership and international collaborations in order to protect our populations. The International Health Regulations (IHR[2005]) offer one of these strategic themes whereby World Health Organization (WHO) Member States and global partners engaged in biosecurity, biosurveillance and public health can define commonalities and leverage their respective missions and resources to optimize interventions. The U.S. Defense Threat Reduction Agency’s Cooperative Biologica Engagement Program (CBEP) works with partner countries across clinical, veterinary, epidemiological, and laboratory communities to enhance national disease surveillance, detection, diagnostic, and reporting capabilities. CBEP, like many other capacity building programs, has wrestled with ways to improve partner country buy-in and ownership and to develop sustainable solutions that impact integrated disease surveillance outcomes. Designing successful implementation strategies represents a complex and challenging exercise and requires robust and transparent collaboration at the country level. To address this challenge, the Laboratory Systems Development Branch of the U.S. Centers for Disease Control and Prevention (CDC) and CBEP have partnered to create a set of tools that brings together key leadership of the surveillance system into a deliberate system design process. This process takes into account strengths and limitations of the existing system, how the components inter-connect and relate to one another, and how they can be systematically refined within the local context. The planning tools encourage cross-disciplinary thinking, critical evaluation and analysis of existing capabilities, and discussions across organizational and departmental lines toward a shared course of action and purpose. The underlying concepts and methodology of these tools are presented here. PMID:21143828

  14. Using Acute Flaccid Paralysis Surveillance as a Platform for Vaccine-Preventable Disease Surveillance.

    PubMed

    Wassilak, Steven G F; Williams, Cheryl L; Murrill, Christopher S; Dahl, Benjamin A; Ohuabunwo, Chima; Tangermann, Rudolf H

    2017-07-01

    Surveillance for acute flaccid paralysis (AFP) is a fundamental cornerstone of the global polio eradication initiative (GPEI). Active surveillance (with visits to health facilities) is a critical strategy of AFP surveillance systems for highly sensitive and timely detection of cases. Because of the extensive resources devoted to AFP surveillance, multiple opportunities exist for additional diseases to be added using GPEI assets, particularly because there is generally 1 district officer responsible for all disease surveillance. For this reason, integrated surveillance has become a standard practice in many countries, ranging from adding surveillance for measles and rubella to integrated disease surveillance for outbreak-prone diseases (integrated disease surveillance and response). This report outlines the current level of disease surveillance integration in 3 countries (Nepal, India, and Nigeria) and proposes that resources continue for long-term maintenance in resource-poor countries of AFP surveillance as a platform for surveillance of vaccine-preventable diseases and other outbreak-prone diseases. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America.

  15. Population based surveillance in sickle cell disease: methods, findings and implications from the California registry and surveillance system in hemoglobinopathies project (RuSH).

    PubMed

    Paulukonis, Susan T; Harris, William T; Coates, Thomas D; Neumayr, Lynne; Treadwell, Marsha; Vichinsky, Elliott; Feuchtbaum, Lisa B

    2014-12-01

    There are no population-based surveillance systems to determine prevalence, impact or outcomes in sickle cell disease (SCD). Estimates of the SCD population in California range broadly from 4,500 to 7,000, and little is known about their health status, health care utilization or health outcomes. A surveillance strategy was implemented using diverse data sources to develop a multi-dimensional, state-based surveillance system for SCD that includes adults and children and describes utilization, treatment and outcomes. Data from California newborn screening, inpatient and emergency room records, Medi-Cal/Medicaid claims and two SCD special care centers were collected for 2004-2008. A multi-step, iterative linkage process was used to link and de-duplicate these data sources, and case definitions were used to categorize cases. After linking and de-duplicating, there were 1,975 confirmed cases of SCD, 3,159 probable cases as well as 8,024 possible cases. Among individual data sources, newborn screening and data from clinics contributed the greatest number of unique cases to the total. Select analyses of utilization and treatments for the population are described. Using linked existing data sources, an estimate of the statewide count of the SCD population is possible. The approach can be used to create an in-depth health status profile of the affected population by aggregating utilization, treatment, and outcomes data including mortality and morbidity information. This effort sets the stage for development of an on-going, state-based surveillance system. © 2014 Wiley Periodicals, Inc.

  16. Estimating the Burden of Disease Associated with Outbreaks Reported to the U.S. Waterborne Disease Outbreak Surveillance System: Identifying Limitations and Improvements (Final Report)

    EPA Science Inventory

    This report demonstrates how data from the Waterborne Disease Outbreak Surveillance System (WBDOSS) can be used to estimate disease burden and presents results using 30 years of data. This systematic analysis does not attempt to provide an estimate of the actual incidence and b...

  17. Estimating the Burden of Disease Associated with Outbreaks Reported to the U.S. Waterborne Disease Outbreak Surveillance System: Identifying Limitations and Improvements (Final Report)

    EPA Science Inventory

    This report demonstrates how data from the Waterborne Disease Outbreak Surveillance System (WBDOSS) can be used to estimate disease burden and presents results using 30 years of data. This systematic analysis does not attempt to provide an estimate of the actual incidence and b...

  18. Chronic Disease Disparities by County Economic Status and Metropolitan Classification, Behavioral Risk Factor Surveillance System, 2013.

    PubMed

    Shaw, Kate M; Theis, Kristina A; Self-Brown, Shannon; Roblin, Douglas W; Barker, Lawrence

    2016-09-01

    Racial/ethnic disparities have been studied extensively. However, the combined influence of geographic location and economic status on specific health outcomes is less well studied. This study's objective was to examine 1) the disparity in chronic disease prevalence in the United States by county economic status and metropolitan classification and 2) the social gradient by economic status. The association of hypertension, arthritis, and poor health with county economic status was also explored. We used 2013 Behavioral Risk Factor Surveillance System data. County economic status was categorized by using data on unemployment, poverty, and per capita market income. While controlling for sociodemographics and other covariates, we used multivariable logistic regression to evaluate the relationship between economic status and hypertension, arthritis, and self-rated health. Prevalence of hypertension, arthritis, and poor health in the poorest counties was 9%, 13%, and 15% higher, respectively, than in the most affluent counties. After we controlled for covariates, poor counties still had a higher prevalence of the studied conditions. We found that residents of poor counties had a higher prevalence of poor health outcomes than affluent counties, even after we controlled for known risk factors. Further, the prevalence of poor health outcomes decreased as county economics improved. Findings suggest that poor counties would benefit from targeted public health interventions, better access to health care services, and improved food and built environments.

  19. Chronic Disease Disparities by County Economic Status and Metropolitan Classification, Behavioral Risk Factor Surveillance System, 2013

    PubMed Central

    Theis, Kristina A.; Self-Brown, Shannon; Roblin, Douglas W.; Barker, Lawrence

    2016-01-01

    Introduction Racial/ethnic disparities have been studied extensively. However, the combined influence of geographic location and economic status on specific health outcomes is less well studied. This study’s objective was to examine 1) the disparity in chronic disease prevalence in the United States by county economic status and metropolitan classification and 2) the social gradient by economic status. The association of hypertension, arthritis, and poor health with county economic status was also explored. Methods We used 2013 Behavioral Risk Factor Surveillance System data. County economic status was categorized by using data on unemployment, poverty, and per capita market income. While controlling for sociodemographics and other covariates, we used multivariable logistic regression to evaluate the relationship between economic status and hypertension, arthritis, and self-rated health. Results Prevalence of hypertension, arthritis, and poor health in the poorest counties was 9%, 13%, and 15% higher, respectively, than in the most affluent counties. After we controlled for covariates, poor counties still had a higher prevalence of the studied conditions. Conclusion We found that residents of poor counties had a higher prevalence of poor health outcomes than affluent counties, even after we controlled for known risk factors. Further, the prevalence of poor health outcomes decreased as county economics improved. Findings suggest that poor counties would benefit from targeted public health interventions, better access to health care services, and improved food and built environments. PMID:27584875

  20. Factors associated with good compliance and long-term sustainability in a practitioner-based livestock disease surveillance system.

    PubMed

    Zurbrigg, Katherine J; Van den Borre, Nicole M

    2013-03-01

    The Ontario Farm call Surveillance Project (OFSP) was a practitioner-based, syndromic surveillance system for livestock disease. Three data-recording methods (paper, web-based, and handheld electronic) used by participating veterinarians were compared for timeliness (when the report arrived at the OFSP office), completeness of the report, and the usage and costs of incentives offered to veterinarians as compensation for their time to record data. There were no statistically significant differences in these parameters among the 3 data-recording methods. This indicates that different data-recording methods can be used within a single veterinary surveillance program while maintaining data integrity and timely reporting. Factors such as ease of data collection and providing incentives valued by veterinarians ensured high compliance and long-term participation in the project. It also increased the diversity of the participant group, reducing the likelihood of biased data submissions.

  1. Disease surveillance among newly arriving refugees and immigrants--Electronic Disease Notification System, United States, 2009.

    PubMed

    Lee, Deborah; Philen, Rossanne; Wang, Zanju; McSpadden, Pamela; Posey, Drew L; Ortega, Luis S; Weinberg, Michelle S; Brown, Clive; Zhou, Weigong; Painter, John A

    2013-11-15

    Approximately 450,000 legal permanent immigrants and 75,000 refugees enter the United States annually after receiving required medical examinations by overseas panel physicians (physicians who follow the CDC medical screening guidelines provided to the U.S. Department of State). CDC has the regulatory responsibility for preventing the introduction, transmission, and spread of communicable diseases into the United States as well as for developing the guidelines, known as technical instructions, for the overseas medical examinations. Other conditions that are not infectious might preclude an immigrant or refugee from entering the United States and also are reported as part of the medical examination. After arrival in the United States, all refugees are recommended to obtain a medical assessment by a health-care provider or a health department within 30 days. In addition, immigrants with certain medical conditions such as noninfectious tuberculosis at the time of the original medical examination are recommended to be evaluated after arrival to ensure that appropriate prevention or treatment measures are instituted. Health departments need timely and accurate notifications of newly arriving immigrants, refugees, and persons with other visa types to facilitate these evaluations. Notifications for all newly arriving refugees (with or without medical conditions) and immigrants with medical conditions are provided by CDC's Electronic Disease Notification (EDN) system. This is the first report describing EDN. This report summarizes notifications by the EDN system during January-December 2009. The EDN system is a centralized electronic reporting system that collects health information on newly arriving refugees and immigrants with Class A and Class B medical conditions. Class A conditions render applicants inadmissible and require a waiver for entry; Class B conditions are admissible but might require treatment or follow-up. Information in the EDN system is used to notify

  2. Enhancing Disease Surveillance Event Communication Among Jurisdictions.

    PubMed

    Tabernero, Nathaniel R; Loschen, Wayne A; Jorgensen, Joel; Suereth, Joshua; Coberly, Jacqueline S; Holtry, Rekha S; Sikes, Marvin L; Babin, Steven M; Lewis, Sheryl L Happel

    2009-01-01

    Automated disease surveillance systems are becoming widely used by the public health community. However, communication among non-collocated and widely dispersed users still needs improvement. A web-based software tool for enhancing user communications was completely integrated into an existing automated disease surveillance system and was tested during two simulated exercises and operational use involving multiple jurisdictions. Evaluation of this tool was conducted by user meetings, anonymous surveys, and web logs. Public health officials found this tool to be useful, and the tool has been modified further to incorporate features suggested by user responses. Features of the automated disease surveillance system, such as alerts and time series plots, can be specifically referenced by user comments. The user may also indicate the alert response being considered by adding a color indicator to their comment. The web-based event communication tool described in this article provides a common ground for collaboration and communication among public health officials at different locations.

  3. Infectious diseases: Surveillance, genetic modification and simulation

    USGS Publications Warehouse

    Koh, H. L.; Teh, S.Y.; De Angelis, D. L.; Jiang, J.

    2011-01-01

    Infectious diseases such as influenza and dengue have the potential of becoming a worldwide pandemic that may exert immense pressures on existing medical infrastructures. Careful surveillance of these diseases, supported by consistent model simulations, provides a means for tracking the disease evolution. The integrated surveillance and simulation program is essential in devising effective early warning systems and in implementing efficient emergency preparedness and control measures. This paper presents a summary of simulation analysis on influenza A (H1N1) 2009 in Malaysia. This simulation analysis provides insightful lessons regarding how disease surveillance and simulation should be performed in the future. This paper briefly discusses the controversy over the experimental field release of genetically modified (GM) Aedes aegypti mosquito in Malaysia. Model simulations indicate that the proposed release of GM mosquitoes is neither a viable nor a sustainable control strategy. ?? 2011 WIT Press.

  4. [Computerized surveillance of communicable diseases as a part of public health surveillance].

    PubMed

    Cavaljuga, S

    1999-01-01

    Conducting surveillance of communicable diseases and/or public health surveillance in general, in developing countries such is B&H has some common specific things-health care system is an integral part of organized government services thus, fewer impediments to implementing any part of a surveillance system are recorded. Limited health care providers and laboratories reduce the number of data source and can facilitate quality assurance. An ideal surveillance system is discussed in this paper (what kind of surveillance system an epidemiologist would like to have in future), as well as barriers to the ideal surveillance system and technology of the future. Some elements of computerised public health surveillance system and surveillance of communicable diseases, particularly, are given (e.g. hardware, software, data entry, editing the data, analysis of data, ...) Computerising a surveillance system will results in increasing speed of processing providing graphic capability, enhancing analytic capabilities, improving quality of data of reports and improving quantity of data. The most important step in beginning to conduct computerising a surveillance system is identifying the public health objective such is, for example, surveillance of communicable diseases.

  5. Defining Sickle Cell Disease Mortality Using a Population-Based Surveillance System, 2004 through 2008

    PubMed Central

    Paulukonis, Susan T.; Eckman, James R.; Snyder, Angela B.; Hagar, Ward; Feuchtbaum, Lisa B.; Zhou, Mei; Grant, Althea M.

    2016-01-01

    Objective Population-based surveillance data from California and Georgia for years 2004 through 2008 were linked to state death record files to determine the all-cause death rate among 12,143 patients identified with sickle cell disease (SCD). Methods All-cause death rates, by age, among these SCD patients were compared with all-cause death rates among both African Americans and the total population in the two states. All-cause death rates were also compared with death rates for SCD derived from publicly available death records: the compressed mortality files and multiple cause of death files. Results Of 12,143 patients identified with SCD, 615 patients died. The all-cause mortality rate for the SCD population was lower than the all-cause mortality rate among African Americans and similar to the total population all-cause mortality rates from birth through age 4 years, but the rate was higher among those with SCD than both the African American and total population rates from ages 5 through 74 years. The count of deceased patients identified by using population-based surveillance data (n=615) was more than twice as high as the count identified in compressed mortality files using SCD as the underlying cause of death alone (n=297). Conclusion Accurate assessment of all-cause mortality and age at death requires long-term surveillance via population-based registries of patients with accurately diagnosed SCD. PMID:26957672

  6. The U.S.-Mexico Border Infectious Disease Surveillance Project: Establishing Binational Border Surveillance

    PubMed Central

    Waterman, Stephen; Lucas, Carlos Alvarez; Falcon, Veronica Carrion; Morales, Pablo Kuri; Lopez, Luis Anaya; Peter, Chris; Gutiérrez, Alejandro Escobar; Gonzalez, Ernesto Ramirez; Flisser, Ana; Bryan, Ralph; Valle, Enrique Navarro; Rodriguez, Alfonso; Hernandez, Gerardo Alvarez; Rosales, Cecilia; Ortiz, Javier Arias; Landen, Michael; Vilchis, Hugo; Rawlings, Julie; Leal, Francisco Lopez; Ortega, Luis; Flagg, Elaine; Conyer, Roberto Tapia; Cetron, Martin

    2003-01-01

    In 1997, the Centers for Disease Control and Prevention, the Mexican Secretariat of Health, and border health officials began the development of the Border Infectious Disease Surveillance (BIDS) project, a surveillance system for infectious diseases along the U.S.-Mexico border. During a 3-year period, a binational team implemented an active, sentinel surveillance system for hepatitis and febrile exanthems at 13 clinical sites. The network developed surveillance protocols, trained nine surveillance coordinators, established serologic testing at four Mexican border laboratories, and created agreements for data sharing and notification of selected diseases and outbreaks. BIDS facilitated investigations of dengue fever in Texas-Tamaulipas and measles in California–Baja California. BIDS demonstrates that a binational effort with local, state, and federal participation can create a regional surveillance system that crosses an international border. Reducing administrative, infrastructure, and political barriers to cross-border public health collaboration will enhance the effectiveness of disease prevention projects such as BIDS. PMID:12533288

  7. A new surveillance indicator identifying optimal timeliness and accuracy: application to the Korean National Notifiable Disease Surveillance System for 2001-2007.

    PubMed

    Yoo, H S; Cho, S I; Lee, J K; Park, H K; Lee, E G; Kwon, J W

    2013-12-01

    Although immediate notification of a case is crucial for epidemic control, clinicians may delay notification due to uncertainties in diagnosis, reflecting a trade-off between timeliness and the accuracy of surveillance. We assessed this trade-off for four epidemic-prone diseases that require immediate notification of suspected cases: shigellosis, typhoid fever, paratyphoid fever, and cholera in the Korean National Notifiable Disease Surveillance System data for 2001-2007. Timeliness was measured as the time to registration (T R), being the time interval from symptom onset to notification by the clinician to the local public health centre. We introduced a new index, 'time-accuracy trade-off ratio' to indicate time saved by clinical vs. laboratory-based notifications. Clinical notifications comprised 34.4% of total notifications, and these showed a shorter median T R than laboratory-based notifications (1-4 days). The trade-off ratio was greatest for shigellosis (3.3 days), and smallest for typhoid fever (0.6 days). A higher trade-off ratio provides stronger evidence for clinical notification without waiting for laboratory confirmation.

  8. How Can We Identify the Elimination of Infectious Diseases? Experience From an Active Measles Laboratory Surveillance System in the Republic of Korea.

    PubMed

    Yang, Tae Un; Kang, Hae Ji; Eom, Hye Eun; Park, Young-Joon; Park, Ok; Kim, Su Jin; Nam, Jeong-Gu; Kim, Sung Soon; Jeong, Eun Kyeong

    2015-11-01

    Global efforts have markedly decreased the disease burden of vaccine-preventable diseases. Many countries have made considerable progress toward the elimination of measles. As elimination is approached, the very low incidence achieved by high vaccination coverage has underscored the need for a sensitive and timely surveillance system. In the Republic of Korea, an active laboratory surveillance system (ALSS) was implemented to supplement the existing passive surveillance system in 2006. The ALSS connects 5 major commercial laboratories and the national measles reference laboratory, where referred samples with positive or equivocal results are retested. Annually, from 2009 to 2013, 3714 suspected cases were detected through the ALSS, an expansion of 8- to 57-fold, compared with only the passive surveillance system. The ALSS, with its sensitivity and timeliness, is a reasonable strategy to supplement the existing measles surveillance system and to help identify the elimination of measles.

  9. Trend of diseases among Iranian pilgrims during five consecutive years based on a Syndromic Surveillance System in Hajj

    PubMed Central

    Razavi, Seyed Mansour; Sabouri-Kashani, Ahmad; Ziaee-Ardakani, Hossein; Tabatabaei, Aminreza; Karbakhsh, Mojgan; Sadeghipour, Hamidreza; Mortazavi-Tabatabaei, Seyed Abdolreza; Salamati, Payman

    2013-01-01

    Background Every year more than 2 million people depart from Iran to Saudi Arabia for Hajj ritual whichcan be faced with some different diseases. There are not much information about frequencies and trend of diseasesin Hajj. The main objective of this study was to determine the trend of prevalent diseases during five consecutiveHajj rituals among Iranian pilgrims. Methods We established a specific surveillance system for all Iranian pilgrims who had participated in Hajjfrom 2004 to 2008. We monitored the pilgrims’ health status before departure, through their journey. The understudieddiseases were 19 selected types of diseases in the Hajj. The occurrences of diseases were recorded on aresearchers-made questionnaire. We used chi-square test for analysis with the alpha lower than 5% to reject thenull hypothesis. Results During 5 consecutive periods, a total of 254,823 of Iranian pilgrims were monitored for more commondiseases with this system. The most prevalent diseases were as follows: at least one type of respiratory involvement(71.26%), common cold like syndrome (47.15%), and musculoskeletal disorders (18.67%), The frequencyof respiratory involvement was lower in 2006 than other years (p <0.001).There were statistically significantdifferences between the numbers of hospitalization and patients who were referred back to Iran with theyear of Hajj (p <0.001). Conclusion Health managers should be informed about trend and frequency of more prevalent diseases inHajj. Easy access to health information via such surveillance system can be possible. PMID:24926178

  10. Trend of diseases among Iranian pilgrims during five consecutive years based on a Syndromic Surveillance System in Hajj.

    PubMed

    Razavi, Seyed Mansour; Sabouri-Kashani, Ahmad; Ziaee-Ardakani, Hossein; Tabatabaei, Aminreza; Karbakhsh, Mojgan; Sadeghipour, Hamidreza; Mortazavi-Tabatabaei, Seyed Abdolreza; Salamati, Payman

    2013-11-01

    Every year more than 2 million people depart from Iran to Saudi Arabia for Hajj ritual whichcan be faced with some different diseases. There are not much information about frequencies and trend of diseasesin Hajj. The main objective of this study was to determine the trend of prevalent diseases during five consecutiveHajj rituals among Iranian pilgrims. We established a specific surveillance system for all Iranian pilgrims who had participated in Hajjfrom 2004 to 2008. We monitored the pilgrims' health status before departure, through their journey. The understudieddiseases were 19 selected types of diseases in the Hajj. The occurrences of diseases were recorded on aresearchers-made questionnaire. We used chi-square test for analysis with the alpha lower than 5% to reject thenull hypothesis. During 5 consecutive periods, a total of 254,823 of Iranian pilgrims were monitored for more commondiseases with this system. The most prevalent diseases were as follows: at least one type of respiratory involvement(71.26%), common cold like syndrome (47.15%), and musculoskeletal disorders (18.67%), The frequencyof respiratory involvement was lower in 2006 than other years (p <0.001).There were statistically significantdifferences between the numbers of hospitalization and patients who were referred back to Iran with theyear of Hajj (p <0.001). Health managers should be informed about trend and frequency of more prevalent diseases inHajj. Easy access to health information via such surveillance system can be possible.

  11. Implementing a vector surveillance-response system for chagas disease control: a 4-year field trial in Nicaragua.

    PubMed

    Yoshioka, Kota; Tercero, Doribel; Pérez, Byron; Nakamura, Jiro; Pérez, Lenin

    2017-03-06

    Chagas disease is one of the neglected tropical diseases (NTDs). International goals for its control involve elimination of vector-borne transmission. Central American countries face challenges in establishing sustainable vector control programmes, since the main vector, Triatoma dimidiata, cannot be eliminated. In 2012, the Ministry of Health in Nicaragua started a field test of a vector surveillance-response system to control domestic vector infestation. This paper reports the main findings from this pilot study. This study was carried out from 2012 to 2015 in the Municipality of Totogalpa. The Japan International Cooperation Agency provided technical cooperation in designing and monitoring the surveillance-response system until 2014. This system involved 1) vector reports by householders to health facilities, 2) data analysis and planning of responses at the municipal health centre and 3) house visits or insecticide spraying by health personnel as a response. We registered all vector reports and responses in a digital database. The collected data were used to describe and analyse the system performance in terms of amount of vector reports as well as rates and timeliness of responses. During the study period, T. dimidiata was reported 396 times. Spatiotemporal analysis identified some high-risk clusters. All houses reported to be infested were visited by health personnel in 2013 and this response rate dropped to 39% in 2015. Rates of insecticide spraying rose above 80% in 2013 but no spraying was carried out in the following 2 years. The timeliness of house visits improved significantly after the responsibility was transferred from a vector control technician to primary health care staff. We argue that the proposed vector surveillance-response system is workable within the resource-constrained health system in Nicaragua. Integration to the primary health care services was a key to improve the system performance. Continual efforts are necessary to keep adapting

  12. Bodygraphic Injury Surveillance System

    NASA Astrophysics Data System (ADS)

    Tsuboi, Toshiki; Kitamura, Koji; Nishida, Yoshihumi; Motomura, Yoichi; Takano, Tachio; Yamanaka, Tatsuhiro; Mizoguchi, Hiroshi

    This paper proposes a new technology,``a bodygraphic injury surveillance system (BISS)'' that not only accumulates accident situation data but also represents injury data based on a human body coordinate system in a standardized and multilayered way. Standardized and multilayered representation of injury enables accumulation, retrieval, sharing, statistical analysis, and modeling causalities of injury across different fields such as medicine, engineering, and industry. To confirm the effectiveness of the developed system, the authors collected 3,685 children's injury data in cooperation with a hospital. As new analyses based on the developed BISS, this paper shows bodygraphically statistical analysis and childhood injury modeling using the developed BISS and Bayesian network technology.

  13. Veterinary hospital surveillance systems.

    PubMed

    Burgess, Brandy A; Morley, Paul S

    2015-03-01

    We cannot manage what we do not measure. In order to provide optimal patient care appropriate effort must be given to the prevention of infectious disease transmission through the development and maintenance of an infection control program that is founded on results obtained through organized surveillance efforts. Every facility is unique - thus efforts should be tailored to distinctive physical attributes and organizational limitations of individual practices. There is not only an ethical responsibility to do so, but there is a legal responsibility to meet the minimum standard of practice with respect to veterinary infection prevention and control. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. Completeness of Reporting of Race and Ethnicity Data in the Nationally Notifiable Diseases Surveillance System, United States, 2006–2010

    PubMed Central

    Adekoya, Nelson; Truman, Benedict I.; Ajani, Umed A.

    2015-01-01

    Context During 1994–1997, approximately 70% and 60% of the cases of conditions reported to the National Notifiable Diseases Surveillance System included persons of known race and ethnicity, respectively. A major goal of the Healthy People 2020 initiative is to eliminate health disparities. Objective To describe trends in the completeness of race and ethnicity in case reports of the National Notifiable Diseases Surveillance System during 2006–2010. Methods The National Notifiable Diseases Surveillance System is a public health surveillance system that aggregates case reports of infectious diseases and conditions that are designated nationally notifiable and are collected by US states and territories. The Centers for Disease Control and Prevention (Atlanta, Georgia) maintains this surveillance system in collaboration with the Council of State and Territorial Epidemiologists. We used Cochran-Armitage Trend Test (SAS, version 9.2) to test the hypothesis that the percentage of case reports with the completeness of race and ethnicity data increased or decreased linearly during 2006–2010. Main Outcome Measure Completeness of race and ethnicity variables. Results The 32 conditions reviewed included 1 030 804 case records. Seventy percent of records included a known value for race, and 49% of records included ethnicity during 2006–2010. During 2006–2010, race was known in 70% or more of records in 24 of 32 conditions and in 23 of 51 jurisdictions. During 2006–2010, the systemwide reporting of race remained at the same level of completeness (70%) but the reporting of ethnicity increased slightly from 48% in 2006 to 53% in 2010. In comparison with race, the proportions of records coded to ethnicity were less among all conditions. Conclusions Significant change has occurred in the completeness of reporting of ethnicity but not race during 2006–2010. However, the reporting of ethnicity still lags substantially behind the reporting of race. Jurisdictions that

  15. Wallops Ship Surveillance System

    NASA Technical Reports Server (NTRS)

    Smith, Donna C.

    2011-01-01

    Approved as a Wallops control center backup system, the Wallops Ship Surveillance Software is a day-of-launch risk analysis tool for spaceport activities. The system calculates impact probabilities and displays ship locations relative to boundary lines. It enables rapid analysis of possible flight paths to preclude the need to cancel launches and allow execution of launches in a timely manner. Its design is based on low-cost, large-customer- base elements including personal computers, the Windows operating system, C/C++ object-oriented software, and network interfaces. In conformance with the NASA software safety standard, the system is designed to ensure that it does not falsely report a safe-for-launch condition. To improve the current ship surveillance method, the system is designed to prevent delay of launch under a safe-for-launch condition. A single workstation is designated the controller of the official ship information and the official risk analysis. Copies of this information are shared with other networked workstations. The program design is divided into five subsystems areas: 1. Communication Link -- threads that control the networking of workstations; 2. Contact List -- a thread that controls a list of protected item (ocean vessel) information; 3. Hazard List -- threads that control a list of hazardous item (debris) information and associated risk calculation information; 4. Display -- threads that control operator inputs and screen display outputs; and 5. Archive -- a thread that controls archive file read and write access. Currently, most of the hazard list thread and parts of other threads are being reused as part of a new ship surveillance system, under the SureTrak project.

  16. Disease surveillance system evaluation as a model for improved integration and standardization of the laboratory component in the Field Epidemiology and Laboratory Training Program (FELTP) curriculum worldwide.

    PubMed

    Rush, Thomas

    2012-11-01

    Integration of laboratory training into the Centers for Disease Control and Prevention's (CDC) Field Epidemiology Training Program (FETP) began in 2004 and has advanced the training of laboratory scientists worldwide on the basic principles of epidemiology, disease surveillance, and outbreak investigation. The laboratory component of the FE(L)TP training has traditionally been disease specific, revolving around classroom and bench training on laboratory methods, and field placement in areas where services are needed. There is however a need to improve the integration of epidemiology elements used in surveillance, outbreak investigation, and evaluation activities with specific measurable laboratory activities that could in turn impact the overall disease surveillance and response. A systematic and clear evaluation guideline for the laboratory components of disease surveillance systems alongside the corresponding epidemiological indicators can better identify, address, and mitigate weaknesses that may exist in the entire surveillance system, and also help to integrate and standardize the FE(L)TP curriculum content. The institution of laboratory Quality Management System principles linked to a comprehensive surveillance evaluation scheme will result in improved disease surveillance, response, and overall laboratory capacity over time.

  17. Real-Time Surveillance of Infectious Diseases: Taiwan's Experience.

    PubMed

    Jian, Shu-Wan; Chen, Chiu-Mei; Lee, Cheng-Yi; Liu, Ding-Ping

    Integration of multiple surveillance systems advances early warning and supports better decision making during infectious disease events. Taiwan has a comprehensive network of laboratory, epidemiologic, and early warning surveillance systems with nationwide representation. Hospitals and clinical laboratories have deployed automatic reporting mechanisms since 2014 and have effectively improved timeliness of infectious disease and laboratory data reporting. In June 2016, the capacity of real-time surveillance in Taiwan was externally assessed and was found to have a demonstrated and sustainable capability. We describe Taiwan's disease surveillance system and use surveillance efforts for influenza and Zika virus as examples of surveillance capability. Timely and integrated influenza information showed a higher level and extended pattern of influenza activity during the 2015-16 season, which ensured prompt information dissemination and the coordination of response operations. Taiwan also has well-developed disease detection systems and was the first country to report imported cases of Zika virus from Miami Beach and Singapore. This illustrates a high level of awareness and willingness among health workers to report emerging infectious diseases, and highlights the robust and sensitive nature of Taiwan's surveillance system. These 2 examples demonstrate the flexibility of the surveillance systems in Taiwan to adapt to emerging infectious diseases and major communicable diseases. Through participation in the GHSA, Taiwan can more actively collaborate with national counterparts and use its expertise to strengthen global and regional surveillance capacity in the Asia Pacific and in Southeast Asia, in order to advance a world safe and secure from infectious disease.

  18. Sonoma Persistent Surveillance System

    SciTech Connect

    Pennington, D M

    2006-03-24

    Sonoma offers the first cost-effective, broad-area, high-resolution, real-time motion imagery system for surveillance applications. Sonoma is unique in its ability to provide continuous, real-time video imagery of an area the size of a small city with resolutions sufficient to track 8,000 moving objects in the field of view. At higher resolutions and over smaller areas, Sonoma can even track the movement of individual people. The visual impact of the data available from Sonoma is already causing a paradigm shift in the architecture and operation of other surveillance systems. Sonoma is expected to cost just one-tenth the price of comparably sized sensor systems. Cameras mounted on an airborne platform constantly monitor an area, feeding data to the ground for real-time analysis. Sonoma was designed to provide real-time data for actionable intelligence in situations such as monitoring traffic, special events, border security, and harbors. If a Sonoma system had been available in the aftermath of the Katrina and Rita hurricanes, emergency responders would have had real-time information on roads, water levels, and traffic conditions, perhaps saving many lives.

  19. How Disease Surveillance Systems Can Serve as Practical Building Blocks for a Health Information Infrastructure: the Indiana Experience

    PubMed Central

    Grannis, Shaun J.; Biondich, Paul G.; Mamlin, Burke W.; Wilson, M.D.Greg; Jones, Linda; Overhage, J. Marc

    2005-01-01

    Although many organizations are beginning to develop strategies to implement and study regional and national health information exchanges, there are few operational examples to date. The Indiana Network for Patient Care (INPC) is an example of a currently operational Regional Health Information Organization (RHIO) built upon a foundation of open, robust healthcare information standards. Having demonstrated the scalability of this design, the Indiana State Department of Health (ISDH) contracted with the Regenstrief Institute to implement a statewide disease surveillance system incorporating encounter data from all 114 Indiana hospitals with emergency departments. We describe the 4-year implementation plan, including our design rationale and how we plan to address the specific implementation challenges of data collection, connectivity in diverse environments and current hospital buy-in. To date, 42 hospitals are in various stages of engagement, with 33 hospitals actively providing real-time surveillance data. We will discuss how this project creates the foundation for a potential statewide health information exchange. PMID:16779047

  20. Traditional and syndromic surveillance of infectious diseases and pathogens.

    PubMed

    Abat, Cédric; Chaudet, Hervé; Rolain, Jean-Marc; Colson, Philippe; Raoult, Didier

    2016-07-01

    Infectious diseases remain a major public health problem worldwide. Hence, their surveillance is critical. Currently, many surveillance strategies and systems are in use around the world. An inventory of the data, surveillance strategies, and surveillance systems developed worldwide for the surveillance of infectious diseases is presented herein, with emphasis on the role of the microbiology laboratory in surveillance. The data, strategies, and systems used around the world for the surveillance of infectious diseases and pathogens, along with current issues and trends, were reviewed. Twelve major classes of data were identified on the basis of their timing relative to infection, resources available, and type of surveillance. Two primary strategies were compared: disease-specific surveillance and syndromic surveillance. Finally, 262 systems implemented worldwide for the surveillance of infections were registered and briefly described, with a focus on those based on microbiological data from laboratories. There is currently a wealth of available data on infections, which has been growing with the recent emergence of new technologies. Concurrently with the expansion of computer resources and networks, these data will allow the optimization of real-time detection and notification of infections. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  1. Need of surveillance response systems to combat Ebola outbreaks and other emerging infectious diseases in African countries.

    PubMed

    Tambo, Ernest; Ugwu, Emmanuel Chidiebere; Ngogang, Jeane Yonkeu

    2014-01-01

    There is growing concern in Sub-Saharan Africa about the spread of the Ebola virus disease (EVD), formerly known as Ebola haemorrhagic fever, and the public health burden that it ensues. Since 1976, there have been 885,343 suspected and laboratory confirmed cases of EVD and the disease has claimed 2,512 cases and 932 fatality in West Africa. There are certain requirements that must be met when responding to EVD outbreaks and this process could incur certain challenges. For the purposes of this paper, five have been identified: (i) the deficiency in the development and implementation of surveillance response systems against Ebola and others infectious disease outbreaks in Africa; (ii) the lack of education and knowledge resulting in an EVD outbreak triggering panic, anxiety, psychosocial trauma, isolation and dignity impounding, stigmatisation, community ostracism and resistance to associated socio-ecological and public health consequences; (iii) limited financial resources, human technical capacity and weak community and national health system operational plans for prevention and control responses, practices and management; (iv) inadequate leadership and coordination; and (v) the lack of development of new strategies, tools and approaches, such as improved diagnostics and novel therapies including vaccines which can assist in preventing, controlling and containing Ebola outbreaks as well as the spread of the disease. Hence, there is an urgent need to develop and implement an active early warning alert and surveillance response system for outbreak response and control of emerging infectious diseases. Understanding the unending risks of transmission dynamics and resurgence is essential in implementing rapid effective response interventions tailored to specific local settings and contexts. (i) national and regional inter-sectorial and trans-disciplinary surveillance response systems that include early warnings, as well as critical human resources development, must be

  2. Need of surveillance response systems to combat Ebola outbreaks and other emerging infectious diseases in African countries

    PubMed Central

    2014-01-01

    There is growing concern in Sub-Saharan Africa about the spread of the Ebola virus disease (EVD), formerly known as Ebola haemorrhagic fever, and the public health burden that it ensues. Since 1976, there have been 885,343 suspected and laboratory confirmed cases of EVD and the disease has claimed 2,512 cases and 932 fatality in West Africa. There are certain requirements that must be met when responding to EVD outbreaks and this process could incur certain challenges. For the purposes of this paper, five have been identified: (i) the deficiency in the development and implementation of surveillance response systems against Ebola and others infectious disease outbreaks in Africa; (ii) the lack of education and knowledge resulting in an EVD outbreak triggering panic, anxiety, psychosocial trauma, isolation and dignity impounding, stigmatisation, community ostracism and resistance to associated socio-ecological and public health consequences; (iii) limited financial resources, human technical capacity and weak community and national health system operational plans for prevention and control responses, practices and management; (iv) inadequate leadership and coordination; and (v) the lack of development of new strategies, tools and approaches, such as improved diagnostics and novel therapies including vaccines which can assist in preventing, controlling and containing Ebola outbreaks as well as the spread of the disease. Hence, there is an urgent need to develop and implement an active early warning alert and surveillance response system for outbreak response and control of emerging infectious diseases. Understanding the unending risks of transmission dynamics and resurgence is essential in implementing rapid effective response interventions tailored to specific local settings and contexts. Therefore, the following actions are recommended: (i) national and regional inter-sectorial and trans-disciplinary surveillance response systems that include early warnings, as well

  3. National Infectious Diseases Surveillance data of South Korea.

    PubMed

    Park, Sunhee; Cho, Eunhee

    2014-01-01

    The Korea Centers for Disease Control and Prevention (KCDC) operate infectious disease surveillance systems to monitor national disease incidence. Since 1954, Korea has collected data on various infectious diseases in accordance with the Infectious Disease Control and Prevention Act. All physicians (including those working in Oriental medicine) who diagnose a patient with an infectious disease or conduct a postmortem examination of an infectious disease case are obliged to report the disease to the system. These reported data are incorporated into the database of the National Infectious Disease Surveillance System, which has been providing web-based real-time surveillance data on infectious diseases since 2001. In addition, the KCDC analyzes reported data and publishes the Infectious Disease Surveillance Yearbook annually.

  4. Surveillance of infectious diseases in the Arctic.

    PubMed

    Bruce, M; Zulz, T; Koch, A

    2016-08-01

    This study reviews how social and environmental issues affect health in Arctic populations and describes infectious disease surveillance in Arctic Nations with a special focus on the activities of the International Circumpolar Surveillance (ICS) project. We reviewed the literature over the past 2 decades looking at Arctic living conditions and their effects on health and Arctic surveillance for infectious diseases. In regards to other regions worldwide, the Arctic climate and environment are extreme. Arctic and sub-Arctic populations live in markedly different social and physical environments compared to those of their more southern dwelling counterparts. A cold northern climate means people spending more time indoors, amplifying the effects of household crowding, smoking and inadequate ventilation on the person-to-person spread of infectious diseases. The spread of zoonotic infections north as the climate warms, emergence of antibiotic resistance among bacterial pathogens, the re-emergence of tuberculosis, the entrance of HIV into Arctic communities, the specter of pandemic influenza or the sudden emergence and introduction of new viral pathogens pose new challenges to residents, governments and public health authorities of all Arctic countries. ICS is a network of hospitals, public health agencies, and reference laboratories throughout the Arctic working together for the purposes of collecting, comparing and sharing of uniform laboratory and epidemiological data on infectious diseases of concern and assisting in the formulation of prevention and control strategies (Fig. 1). In addition, circumpolar infectious disease research workgroups and sentinel surveillance systems for bacterial and viral pathogens exist. The ICS system is a successful example of collaborative surveillance and research in an extreme environment. Published by Elsevier Ltd.

  5. Smart sensing surveillance system

    NASA Astrophysics Data System (ADS)

    Hsu, Charles; Chu, Kai-Dee; O'Looney, James; Blake, Michael; Rutar, Colleen

    2010-04-01

    An effective public safety sensor system for heavily-populated applications requires sophisticated and geographically-distributed infrastructures, centralized supervision, and deployment of large-scale security and surveillance networks. Artificial intelligence in sensor systems is a critical design to raise awareness levels, improve the performance of the system and adapt to a changing scenario and environment. In this paper, a highly-distributed, fault-tolerant, and energy-efficient Smart Sensing Surveillance System (S4) is presented to efficiently provide a 24/7 and all weather security operation in crowded environments or restricted areas. Technically, the S4 consists of a number of distributed sensor nodes integrated with specific passive sensors to rapidly collect, process, and disseminate heterogeneous sensor data from near omni-directions. These distributed sensor nodes can cooperatively work to send immediate security information when new objects appear. When the new objects are detected, the S4 will smartly select the available node with a Pan- Tilt- Zoom- (PTZ) Electro-Optics EO/IR camera to track the objects and capture associated imagery. The S4 provides applicable advanced on-board digital image processing capabilities to detect and track the specific objects. The imaging detection operations include unattended object detection, human feature and behavior detection, and configurable alert triggers, etc. Other imaging processes can be updated to meet specific requirements and operations. In the S4, all the sensor nodes are connected with a robust, reconfigurable, LPI/LPD (Low Probability of Intercept/ Low Probability of Detect) wireless mesh network using Ultra-wide band (UWB) RF technology. This UWB RF technology can provide an ad-hoc, secure mesh network and capability to relay network information, communicate and pass situational awareness and messages. The Service Oriented Architecture of S4 enables remote applications to interact with the S4

  6. National epidemiologic surveillance systems of asbestos-related disease and the exposed workers register.

    PubMed

    Marinaccio, A; Branchi, Claudia; Massari, Stefania; Scarselli, A

    2006-01-01

    Italy was the main European producer of asbestos for most of the 20th century and raw asbestos imports wee also significant until the 1990's; there was a mean delay of about ten years in the pattern of asbestos consumption in Italy compared with the USA, Australia, UK and Scandinavian countries. A national surveillance system (ReNaM) was implemented to identify cases of mesothelioma and investigate the modalities of asbestos exposure. A register of exposed workers and a database of companies presumably involved in the asbestos exposure problem was also developed. ReNaM has a regional structure and an operative centres (COR) have been established in 16 Italian regions. The ReNaM database currently contains more than 5,000 mesothelioma cases and for 3,500 of these exposure modalities have been defined. Cases of pleural mesothelioma represent 93% of the total but there were also 334 cases of peritoneal mesothelioma, 15 of the pericardium and 14 of the tunica vaginalis of the testicle. Cases with ascertained exposure are thus distributed: 67.4% occupational exposure (ascertained, probable, possible), 4.3% domestic, 4.2% environmental and 1.3% hobby-related exposure, totalling 77.2%; 22.8% had unlikely or unknown exposure. The latency period is very long: on average 43.6 years. The register of asbestos-exposed workers contains figures on exposed workers notified to ISPESL up to 2004 and refers to the exposure period 1993-2003. The data registered cover 160 firms and about 700 workers. A national, coordinated and uniform epidemiological surveillance system of cases of mesothelioma and the definition of asbestos exposure through active research is extremely important in identifying unexpected contaminating sources. The register of asbestos-exposed workers allows risk to be monitored and protection measures to be implemented.

  7. [An evaluation of the epidemiological surveillance system for infectious diseases in the Barcelona Olympic Games of 1992].

    PubMed

    Pañella, H; Plasència, A; Sanz, M; Caylà, J A

    1995-01-01

    Due to the 1992 Barcelona Olympic Games some modifications were introduced in the epidemiologic surveillance system for infectious diseases in place in the city, in order to expand its coverage and shorten its timeliness in detecting outbreaks and investigating cases. These modifications were introduced for a group conditions (hepatitis, meningococcal disease, legionnaire's disease and food outbreaks), selected on the basis of incidence, time of the year, previous experience in other settings, and likelihood of outbreak occurrence. In the June-August 1992 period (Olympic period), no increases in the incidence of selected conditions were observed when compared to the same period in 1986 to 1991. Major changes were observed in the source of food outbreak reporting, with a large increase in outbreaks reported by emergency room departments. There was an increase in the number of domestic foodborne outbreaks and a reduction in those related with restaurants. Timeliness in the detection of cases was shortened. The use of similar modifications can be useful for epidemiologic surveillance systems in other comparable settings or occasions.

  8. Multiple cardiovascular risk factors in Kenya: evidence from a Health and Demographic Surveillance System using the WHO STEPwise Approach to Chronic Disease Risk Factor Surveillance

    PubMed Central

    Bloomfield, Gerald S.; Mwangi, Ann; Chege, Patrick; Simiyu, Chrispinus J.; Aswa, Daniel F.; Odhiambo, David; Obala, Andrew A.; Ayuo, Paul; Khwa-Otsyula, Barasa O.

    2014-01-01

    Objective To describe the distribution of cardiovascular risk factors in western Kenya using a Health and Demographic Surveillance System (HDSS). Design Population-based survey of residents in an HDSS Setting Webuye Division in Bungoma East District, Western Province of Kenya Patients 4037 adults ≥18 years of age Interventions Home-based survey using the World Health Organization STEPwise approach to chronic disease risk factor surveillance Main outcome measures Self-report of high blood pressure, high blood sugar, tobacco use, alcohol use, physical activity and fruit/vegetable intake Results The median age of the population was 35 years (IQR: 26–50). Less than 6% of the population reported high blood pressure or blood sugar. Tobacco and alcohol use were reported in 7% and 16% of the population, respectively. The majority of the population (93%) was physically active. The average number of days per week that participants reported intake of fruits (3.1 +/− 0.1) or vegetables (1.6 +/− 0.1) was low. In multiple logistic regression analyses, women were more likely to report a history of high blood pressure (OR 2.72, 95% CI 1.9–3.9), less likely to report using tobacco (OR 0.08, 95% CI 0.06–0.11), less likely to report alcohol use (OR 0.18, 95% CI 0.15–0.21) or eat ≥5 servings per day of fruits or vegetables (OR 0.87, 95% CI 0.76–0.99) compared to men. Conclusions The most common cardiovascular risk factors in peri-urban western Kenya are tobacco use, alcohol use and inadequate intake of fruits and vegetables. Our data reveal locally-relevant sub-group differences that could inform future prevention efforts. PMID:23872588

  9. Multiple cardiovascular risk factors in Kenya: evidence from a health and demographic surveillance system using the WHO STEPwise approach to chronic disease risk factor surveillance.

    PubMed

    Bloomfield, Gerald S; Mwangi, Ann; Chege, Patrick; Simiyu, Chrispinus J; Aswa, Daniel F; Odhiambo, David; Obala, Andrew A; Ayuo, Paul; Khwa-Otsyula, Barasa O

    2013-09-01

    To describe the distribution of cardiovascular risk factors in western Kenya using a Health and Demographic Surveillance System (HDSS). Population based survey of residents in an HDSS. Webuye Division in Bungoma East District, Western Province of Kenya. 4037 adults ≥ 18 years of age. Home based survey using the WHO STEPwise approach to chronic disease risk factor surveillance. Self-report of high blood pressure, high blood sugar, tobacco use, alcohol use, physical activity, and fruit/vegetable intake. The median age of the population was 35 years (IQR 26-50). Less than 6% of the population reported high blood pressure or blood sugar. Tobacco and alcohol use were reported in 7% and 16% of the population, respectively. The majority of the population (93%) was physically active. The average number of days per week that participants reported intake of fruits (3.1 ± 0.1) or vegetables (1.6 ± 0.1) was low. In multiple logistic regression analyses, women were more likely to report a history of high blood pressure (OR 2.72, 95% CI 1.9 to 3.9), less likely to report using tobacco (OR 0.08, 95% CI 0.06 to 0.11), less likely to report alcohol use (OR 0.18, 95% CI 0.15 to 0.21) or eat ≥ 5 servings per day of fruits or vegetables (OR 0.87, 95% CI 0.76 to 0.99) compared to men. The most common cardiovascular risk factors in peri-urban western Kenya are tobacco use, alcohol use, and inadequate intake of fruits and vegetables. Our data reveal locally relevant subgroup differences that could inform future prevention efforts.

  10. Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa.

    PubMed

    Fähnrich, C; Denecke, K; Adeoye, O O; Benzler, J; Claus, H; Kirchner, G; Mall, S; Richter, R; Schapranow, M P; Schwarz, N; Tom-Aba, D; Uflacker, M; Poggensee, G; Krause, G

    2015-03-26

    In the context of controlling the current outbreak of Ebola virus disease (EVD), the World Health Organization claimed that 'critical determinant of epidemic size appears to be the speed of implementation of rigorous control measures', i.e. immediate follow-up of contact persons during 21 days after exposure, isolation and treatment of cases, decontamination, and safe burials. We developed the Surveillance and Outbreak Response Management System (SORMAS) to improve efficiency and timeliness of these measures. We used the Design Thinking methodology to systematically analyse experiences from field workers and the Ebola Emergency Operations Centre (EOC) after successful control of the EVD outbreak in Nigeria. We developed a process model with seven personas representing the procedures of EVD outbreak control. The SORMAS system architecture combines latest In-Memory Database (IMDB) technology via SAP HANA (in-memory, relational database management system), enabling interactive data analyses, and established SAP cloud tools, such as SAP Afaria (a mobile device management software). The user interface consists of specific front-ends for smartphones and tablet devices, which are independent from physical configurations. SORMAS allows real-time, bidirectional information exchange between field workers and the EOC, ensures supervision of contact follow-up, automated status reports, and GPS tracking. SORMAS may become a platform for outbreak management and improved routine surveillance of any infectious disease. Furthermore, the SORMAS process model may serve as framework for EVD outbreak modeling.

  11. Implementation of a data fusion algorithm for RODS, a real-time outbreak and disease surveillance system.

    SciTech Connect

    Brown, Douglas (Sandia National Laboratories, Livermore, CA); Gray, Genetha Anne (Sandia National Laboratories, Livermore, CA)

    2005-10-01

    Due to the nature of many infectious agents, such as anthrax, symptoms may either take several days to manifest or resemble those of less serious illnesses leading to misdiagnosis. Thus, bioterrorism attacks that include the release of such agents are particularly dangerous and potentially deadly. For this reason, a system is needed for the quick and correct identification of disease outbreaks. The Real-time Outbreak Disease Surveillance System (RODS), initially developed by Carnegie Mellon University and the University of Pittsburgh, was created to meet this need. The RODS software implements different classifiers for pertinent health surveillance data in order to determine whether or not an outbreak has occurred. In an effort to improve the capability of RODS at detecting outbreaks, we incorporate a data fusion method. Data fusion is used to improve the results of a single classification by combining the output of multiple classifiers. This paper documents the first stages of the development of a data fusion system that can combine the output of the classifiers included in RODS.

  12. Smart sensing surveillance system

    NASA Astrophysics Data System (ADS)

    Hsu, Charles; Chu, Kai-Dee; O'Looney, James; Blake, Michael; Rutar, Colleen

    2010-04-01

    Unattended ground sensor (UGS) networks have been widely used in remote battlefield and other tactical applications over the last few decades due to the advances of the digital signal processing. The UGS network can be applied in a variety of areas including border surveillance, special force operations, perimeter and building protection, target acquisition, situational awareness, and force protection. In this paper, a highly-distributed, fault-tolerant, and energyefficient Smart Sensing Surveillance System (S4) is presented to efficiently provide 24/7 and all weather security operation in a situation management environment. The S4 is composed of a number of distributed nodes to collect, process, and disseminate heterogeneous sensor data. Nearly all S4 nodes have passive sensors to provide rapid omnidirectional detection. In addition, Pan- Tilt- Zoom- (PTZ) Electro-Optics EO/IR cameras are integrated to selected nodes to track the objects and capture associated imagery. These S4 camera-connected nodes will provide applicable advanced on-board digital image processing capabilities to detect and track the specific objects. The imaging detection operations include unattended object detection, human feature and behavior detection, and configurable alert triggers, etc. In the S4, all the nodes are connected with a robust, reconfigurable, LPI/LPD (Low Probability of Intercept/ Low Probability of Detect) wireless mesh network using Ultra-wide band (UWB) RF technology, which can provide an ad-hoc, secure mesh network and capability to relay network information, communicate and pass situational awareness and messages. The S4 utilizes a Service Oriented Architecture such that remote applications can interact with the S4 network and use the specific presentation methods. The S4 capabilities and technologies have great potential for both military and civilian applications, enabling highly effective security support tools for improving surveillance activities in densely crowded

  13. Strengthening infectious disease surveillance in a Dutch-German crossborder area using a real-time information exchange system.

    PubMed

    ter Waarbeek, Henriëtte; Hoebe, Christian; Freund, Hermann; Bochat, Verena; Kara-Zaïtr, Chakib

    2011-06-01

    International outbreaks are occurring much faster than before and require rapid trans-national detection and response. Never before has there been a more urgent need for improved crossborder collaboration on harmonisation of surveillance and response systems despite varying legislations. In the Euregion Maas Rhine, the Public Health Services of South Limburg in the Netherlands and Aachen in Germany agreed to join forces to work on a collaborative tool for sharing real-time infectious disease data. Both units had already implemented an adapted version of HPZone (a web-based software suite for managing infectious diseases at the local level). The collaborative work was realised through finding solutions to five key challenges. First, Euregional disease protocols were agreed commensurate with national guidelines. Secondly, a minimal dataset for infectious disease exchange information was negotiated taking into consideration international health regulations and differences in legislation. Thirdly, a mature risk assessment model for infectious disease was augmented to account for transborder spread and Euregional impact. Fourthly, protocol alert rules were negotiated on triggers for early warning. Finally, a crossborder dashboard, as a component of HPVista and encapsulating the four previous deliverables into a secure web-based system, was developed. HPVista is the parent application to HPZone and enables wider incident command and control regionally, nationally and internationally. The dashboard has facilities for displaying what, when, where and how cases, contacts and outbreaks happen in the crossborder area. It also provides secure communications for further discussion and exchange of other key information not currently shared electronically. The collaborative work embedded in the modified HPZone and HPVista versions with real-time surveillance and geographical information system mapping readily facilitates the systematic analysis of crossborder health incidents in

  14. T Cells Infiltrating Diseased Liver Express Ligands for the NKG2D Stress Surveillance System

    PubMed Central

    Huang, Wei-Chen; Easom, Nicholas J.; Tang, Xin-Zi; Gill, Upkar S.; Singh, Harsimran; Robertson, Francis; Chang, Chiwen; Trowsdale, John; Davidson, Brian R.; Rosenberg, William M.; Fusai, Giuseppe; Toubert, Antoine; Kennedy, Patrick T.; Peppa, Dimitra

    2017-01-01

    NK cells, which are highly enriched in the liver, are potent regulators of antiviral T cells and immunopathology in persistent viral infection. We investigated the role of the NKG2D axis in T cell/NK cell interactions in hepatitis B. Activated and hepatitis B virus (HBV)–specific T cells, particularly the CD4 fraction, expressed NKG2D ligands (NKG2DL), which were not found on T cells from healthy controls (p < 0.001). NKG2DL-expressing T cells were strikingly enriched within HBV-infected livers compared with the periphery or to healthy livers (p < 0.001). NKG2D+NK cells were also increased and preferentially activated in the HBV-infected liver (p < 0.001), in direct proportion to the percentage of MICA/B-expressing CD4 T cells colocated within freshly isolated liver tissue (p < 0.001). This suggests that NKG2DL induced on T cells within a diseased organ can calibrate NKG2D-dependent activation of local NK cells; furthermore, NKG2D blockade could rescue HBV-specific and MICA/B-expressing T cells from HBV-infected livers. To our knowledge, this is the first ex vivo demonstration that non-virally infected human T cells can express NKG2DL, with implications for stress surveillance by the large number of NKG2D-expressing NK cells sequestered in the liver. PMID:28031333

  15. SmiNet-2: Description of an internet-based surveillance system for communicable diseases in Sweden.

    PubMed

    Rolfhamre, P; Jansson, A; Arneborn, M; Ekdahl, K

    2006-01-01

    Electronic systems for communicable diseases surveillance enhance quality by simplifying reporting, improving completeness, and increasing timeliness. In this article we outline the ideas and technologies behind SmiNet-2, a new comprehensive regional/national system for communicable disease surveillance in Sweden. The system allows for reporting from physicians (web form) and laboratories (direct from lab data system) over the internet. Using a unique personal identification number, SmiNet-2 automatically merges clinical and laboratory notifications to case records. Privileged users, at national and county level, work against a common central server containing all notifications and case records. In addition, SmiNet-2 has separate county servers with tools for outbreak investigations, contact tracing and case management. SmiNet-2 was first used in September 2004. Individual counties receive up to 90% of all notifications electronically. In its first year, SmiNet-2 received 54 980 clinical notifications and 32,765 laboratory notifications, which generated 58,891 case records. Since most clinicians in Sweden have easy access to the internet, a general web-based reporting has been feasible, and it is anticipated that within a few years all reporting to SmiNet-2 will be over the internet. In this context, some of the major advantages of SmiNet-2 when compared with other systems are timeliness in the dataflow (up to national level), the full integration of clinical and laboratory notifications, and the capability to handle more than 50 diseases with tailor-made notification forms within one single system.

  16. Surveillance for occupational respiratory diseases in developing countries.

    PubMed

    Antao, Vinicius C; Pinheiro, Germania A

    2015-06-01

    The burden of chronic diseases, including occupational respiratory diseases (ORDs), is increasing worldwide. Nevertheless, epidemiological data on these conditions are scarce in most countries. Therefore, it is important to conduct surveillance to monitor ORDs, particularly in developing countries, where the working population is especially vulnerable and the health system infrastructure is usually weak. This article provides a general framework for the implementation of ORD surveillance in developing countries. The main objectives of surveillance are to describe incidence and prevalence of ORDs, as well as to identify sentinel events and new associations between occupational exposures and health outcomes. Diseases with high morbidity and mortality and those in which early diagnosis with standardized tests are available are especially suitable for surveillance activities. Simple strategies, preferably using existing resources and technology, are the best option for surveillance in developing countries. This article offers examples of specific surveillance systems that are in place in Brazil, China, Cuba, India, and South Africa.

  17. Surveillance for Occupational Respiratory Diseases in Developing Countries

    PubMed Central

    Antao, Vinicius C.; Pinheiro, Germania A.

    2015-01-01

    The burden of chronic diseases, including occupational respiratory diseases (ORDs), is increasing worldwide. Nevertheless, epidemiological data on these conditions are scarce in most countries. Therefore, it is important to conduct surveillance to monitor ORDs, particularly in developing countries, where the working population is especially vulnerable and the health system infrastructure is usually weak. This article provides a general framework for the implementation of ORD surveillance in developing countries. The main objectives of surveillance are to describe incidence and prevalence of ORDs, as well as to identify sentinel events and new associations between occupational exposures and health outcomes. Diseases with high morbidity and mortality and those in which early diagnosis with standardized tests are available are especially suitable for surveillance activities. Simple strategies, preferably using existing resources and technology, are the best option for surveillance in developing countries. This article offers examples of specific surveillance systems that are in place in Brazil, China, Cuba, India, and South Africa. PMID:26024351

  18. The Czech Surveillance System for Invasive Pneumococcal Disease, 2008-2013: A Follow-Up Assessment and Sensitivity Estimation.

    PubMed

    Stock, Nina Katharina; Maly, Marek; Sebestova, Helena; Orlikova, Hana; Kozakova, Jana; Krizova, Pavla

    2015-01-01

    Invasive pneumococcal disease (IPD) is caused by Streptococcus pneumoniae and mostly presents as pneumonia, sepsis or meningitis. A notable portion of IPD cases is vaccine preventable and the pneumococcal conjugate vaccine (PCV) was introduced into the routine childhood immunization programs in many countries during the last decades. Before PCV introduction in the Czech Republic in 2010, a national surveillance system for IPD was implemented in 2008 and further improved in 2011. In this study, we describe the new surveillance system for the first time and measure its sensitivity between 2010 and 2013 using the capture-recapture method. Furthermore, we describe the recent epidemiological trend of IPD, taking sensitivity estimates into account. Between 2010 and 2013 the estimated sensitivity of the overall IPD surveillance increased from 81% to 99%. The sensitivity of individual reporting sources increased from 72% to 87% for the laboratory system and from 31% to 89% for the epidemiological notification system. Crucial for this improvement was the introduction of quarterly report reminders in 2011. Due to positive source dependency, the presented sensitivity estimates are most probably overestimated and reflect the upper limit of reporting completeness. Stratification showed variation in sensitivity of reporting particularly according to region. An effect of the PVC vaccination in the Czech Republic is visible in the incidence of IPD in target age groups (<5 y). This influence was not evident in the total IPD incidence and may interfere with increasing sensitivity of reporting. In 2013, an increase in the IPD incidence was observed. This finding requires further observation and a detailed vaccine impact analysis is needed to assess the current immunization strategy.

  19. Digital Dashboard Design Using Multiple Data Streams for Disease Surveillance With Influenza Surveillance as an Example

    PubMed Central

    Cheng, Calvin KY; Ip, Dennis KM; Cowling, Benjamin J; Ho, Lai Ming; Leung, Gabriel M

    2011-01-01

    Background Great strides have been made exploring and exploiting new and different sources of disease surveillance data and developing robust statistical methods for analyzing the collected data. However, there has been less research in the area of dissemination. Proper dissemination of surveillance data can facilitate the end user's taking of appropriate actions, thus maximizing the utility of effort taken from upstream of the surveillance-to-action loop. Objective The aims of the study were to develop a generic framework for a digital dashboard incorporating features of efficient dashboard design and to demonstrate this framework by specific application to influenza surveillance in Hong Kong. Methods Based on the merits of the national websites and principles of efficient dashboard design, we designed an automated influenza surveillance digital dashboard as a demonstration of efficient dissemination of surveillance data. We developed the system to synthesize and display multiple sources of influenza surveillance data streams in the dashboard. Different algorithms can be implemented in the dashboard for incorporating all surveillance data streams to describe the overall influenza activity. Results We designed and implemented an influenza surveillance dashboard that utilized self-explanatory figures to display multiple surveillance data streams in panels. Indicators for individual data streams as well as for overall influenza activity were summarized in the main page, which can be read at a glance. Data retrieval function was also incorporated to allow data sharing in standard format. Conclusions The influenza surveillance dashboard serves as a template to illustrate the efficient synthesization and dissemination of multiple-source surveillance data, which may also be applied to other diseases. Surveillance data from multiple sources can be disseminated efficiently using a dashboard design that facilitates the translation of surveillance information to public

  20. A review of zoonotic disease surveillance supported by the Armed Forces Health Surveillance Center.

    PubMed

    Burke, R L; Kronmann, K C; Daniels, C C; Meyers, M; Byarugaba, D K; Dueger, E; Klein, T A; Evans, B P; Vest, K G

    2012-05-01

    The Armed Forces Health Surveillance Center (AFHSC), Division of Global Emerging Infections Surveillance and Response System conducts disease surveillance through a global network of US Department of Defense research laboratories and partnerships with foreign ministries of agriculture, health and livestock development in over 90 countries worldwide. In 2010, AFHSC supported zoonosis survey efforts were organized into four main categories: (i) development of field assays for animal disease surveillance during deployments and in resource limited environments, (ii) determining zoonotic disease prevalence in high-contact species which may serve as important reservoirs of diseases and sources of transmission, (iii) surveillance in high-risk human populations which are more likely to become exposed and subsequently infected with zoonotic pathogens and (iv) surveillance at the human-animal interface examining zoonotic disease prevalence and transmission within and between human and animal populations. These efforts have aided in the detection, identification and quantification of the burden of zoonotic diseases such as anthrax, brucellosis, Crimean Congo haemorrhagic fever, dengue fever, Hantaan virus, influenza, Lassa fever, leptospirosis, melioidosis, Q fever, Rift Valley fever, sandfly fever Sicilian virus, sandfly fever Naples virus, tuberculosis and West Nile virus, which are of military and public health importance. Future zoonotic surveillance efforts will seek to develop local capacity for zoonotic surveillance focusing on high risk populations at the human-animal interface.

  1. Disease Surveillance on Complex Social Networks

    PubMed Central

    Herrera, Jose L.; Srinivasan, Ravi; Brownstein, John S.; Galvani, Alison P.; Meyers, Lauren Ancel

    2016-01-01

    As infectious disease surveillance systems expand to include digital, crowd-sourced, and social network data, public health agencies are gaining unprecedented access to high-resolution data and have an opportunity to selectively monitor informative individuals. Contact networks, which are the webs of interaction through which diseases spread, determine whether and when individuals become infected, and thus who might serve as early and accurate surveillance sensors. Here, we evaluate three strategies for selecting sensors—sampling the most connected, random, and friends of random individuals—in three complex social networks—a simple scale-free network, an empirical Venezuelan college student network, and an empirical Montreal wireless hotspot usage network. Across five different surveillance goals—early and accurate detection of epidemic emergence and peak, and general situational awareness—we find that the optimal choice of sensors depends on the public health goal, the underlying network and the reproduction number of the disease (R0). For diseases with a low R0, the most connected individuals provide the earliest and most accurate information about both the onset and peak of an outbreak. However, identifying network hubs is often impractical, and they can be misleading if monitored for general situational awareness, if the underlying network has significant community structure, or if R0 is high or unknown. Taking a theoretical approach, we also derive the optimal surveillance system for early outbreak detection but find that real-world identification of such sensors would be nearly impossible. By contrast, the friends-of-random strategy offers a more practical and robust alternative. It can be readily implemented without prior knowledge of the network, and by identifying sensors with higher than average, but not the highest, epidemiological risk, it provides reasonably early and accurate information. PMID:27415615

  2. Disease Surveillance on Complex Social Networks.

    PubMed

    Herrera, Jose L; Srinivasan, Ravi; Brownstein, John S; Galvani, Alison P; Meyers, Lauren Ancel

    2016-07-01

    As infectious disease surveillance systems expand to include digital, crowd-sourced, and social network data, public health agencies are gaining unprecedented access to high-resolution data and have an opportunity to selectively monitor informative individuals. Contact networks, which are the webs of interaction through which diseases spread, determine whether and when individuals become infected, and thus who might serve as early and accurate surveillance sensors. Here, we evaluate three strategies for selecting sensors-sampling the most connected, random, and friends of random individuals-in three complex social networks-a simple scale-free network, an empirical Venezuelan college student network, and an empirical Montreal wireless hotspot usage network. Across five different surveillance goals-early and accurate detection of epidemic emergence and peak, and general situational awareness-we find that the optimal choice of sensors depends on the public health goal, the underlying network and the reproduction number of the disease (R0). For diseases with a low R0, the most connected individuals provide the earliest and most accurate information about both the onset and peak of an outbreak. However, identifying network hubs is often impractical, and they can be misleading if monitored for general situational awareness, if the underlying network has significant community structure, or if R0 is high or unknown. Taking a theoretical approach, we also derive the optimal surveillance system for early outbreak detection but find that real-world identification of such sensors would be nearly impossible. By contrast, the friends-of-random strategy offers a more practical and robust alternative. It can be readily implemented without prior knowledge of the network, and by identifying sensors with higher than average, but not the highest, epidemiological risk, it provides reasonably early and accurate information.

  3. Health Care Providers' Knowledge and Practice Gap towards Joint Zoonotic Disease Surveillance System: Challenges and Opportunities, Gomma District, Southwest Ethiopia

    PubMed Central

    Sime, Abiot Girma; Hajito, Kifle Woldemichael; Gelalacha, Benti Deresa

    2016-01-01

    Background. Health care providers play a crucial role for realization of joint zoonotic diseases surveillance by human and animal health sectors, yet there is limited evidence. Hence, this study aimed to determine knowledge and practice gap of health care providers towards the approach for Rabies and Anthrax in Southwest Ethiopia. Methods. A cross-sectional survey was conducted from December 16, 2014, to January 14, 2015. Eligible health care providers were considered for the study. Data were entered in to Epi-data version 3.1 and analyzed using SPSS version 20. Results. A total of 323 (92.02%) health care providers participated in the study. Three hundred sixteen (97.8%) of participants reported that both human and animal health sectors can work together for zoonotic diseases while 96.9% of them replied that both sectors can jointly conduct surveillance. One hundred seventeen (36.2%) of them reported that their respective sectors had conducted joint surveillance for zoonotic diseases. Their involvement was, however, limited to joint outbreak response. Conclusion. There is good opportunity in health care providers' knowledge even though the practice was unacceptably low and did not address all surveillance components. Therefore, formal joint surveillance structure should be in place for optimal implementation of surveillance. PMID:27579311

  4. Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

    PubMed Central

    Yang, Changhong; Luo, Xiangshu; Gong, Peng

    2009-01-01

    Abstract Problem Quick detection and response were essential for preventing outbreaks of infectious diseases after the Sichuan earthquake. However, the existing public health communication system in Sichuan province, China, was severely damaged by the earthquake. Approach The Chinese Center for Disease Control and Prevention set up a mobile phone emergency reporting system. In total, 495 light-powered mobile phones were delivered to local health-care agencies in earthquake affected areas. All phones were loaded with software designed for inputting and transmitting cases of infectious disease directly to a national database for further analysis. Local setting The emergency reporting system was set up in 14 counties hit hardest by the earthquake in Sichuan province, China. Relevant changes One week after delivering mobile phones to earthquake-affected areas, the number of health-care agencies at the township level that had filed reports returned to the normal level. The number of cases reported by using mobile phones accounted for as much as 52.9% of the total cases reported weekly from 19 May to 13 July in those areas Lessons learned The mobile phone is a useful communication tool for infectious disease surveillance in areas hit by natural disasters. Nevertheless, plans must be made ahead of time and be included in emergency preparedness programmes. PMID:19705013

  5. Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China.

    PubMed

    Yang, Changhong; Yang, Jun; Luo, Xiangshu; Gong, Peng

    2009-08-01

    Quick detection and response were essential for preventing outbreaks of infectious diseases after the Sichuan earthquake. However, the existing public health communication system in Sichuan province, China, was severely damaged by the earthquake. The Chinese Center for Disease Control and Prevention set up a mobile phone emergency reporting system. In total, 495 light-powered mobile phones were delivered to local health-care agencies in earthquake affected areas. All phones were loaded with software designed for inputting and transmitting cases of infectious disease directly to a national database for further analysis. The emergency reporting system was set up in 14 counties hit hardest by the earthquake in Sichuan province, China. One week after delivering mobile phones to earthquake-affected areas, the number of health-care agencies at the township level that had filed reports returned to the normal level. The number of cases reported by using mobile phones accounted for as much as 52.9% of the total cases reported weekly from 19 May to 13 July in those areas The mobile phone is a useful communication tool for infectious disease surveillance in areas hit by natural disasters. Nevertheless, plans must be made ahead of time and be included in emergency preparedness programmes.

  6. Which surveillance systems were operational after Typhoon Haiyan?

    PubMed Central

    Villa, Eireen; Pacho, Agnes; Galvan, Maria Adona; Corpuz, Aura

    2015-01-01

    Introduction Effective disease surveillance is vital for a successful disaster response. This study assessed the functionality of the three disease surveillance systems used post-Haiyan: Philippine Integrated Disease Surveillance and Response (PIDSR), Event-based Surveillance and Response (ESR) and Surveillance in Post Extreme Emergencies and Disasters (SPEED). Methods A survey of 45 government health officers from affected areas was conducted in March 2014. The survey documented when each of the systems was operational and included questions that ranked the functionality of the three surveillance systems and whether they complemented each other. Results Two of 11 (18%) surveillance units had an operational SPEED system pre-event. PIDSR and ESR remained operational in five of 11 (45%) surveillance units without interruption of reporting. Ten surveillance units (91%) rated PIDSR as functional post-Typhoon; eight (72.7%) considered ESR functional. SPEED was rated as functional by three (27%) surveillance units. Seven of 11 (63.6%) surveillance units rated the three systems as being complementary to each other. Discussion In most of the areas affected by Typhoon Haiyan, the routine surveillance systems (PIDSR and ESR) were not disrupted; although, in Leyte it took seven weeks for these to be operational. Although SPEED is recommended for activation within 48 hours after a disaster, this did not occur in most of the surveyed areas. Most of the surveillance units rated PIDSR, ESR and SPEED to be complementary to each other. PMID:26767139

  7. Which surveillance systems were operational after Typhoon Haiyan?

    PubMed

    Tante, Sheila; Villa, Eireen; Pacho, Agnes; Galvan, Maria Adona; Corpuz, Aura

    2015-01-01

    Effective disease surveillance is vital for a successful disaster response. This study assessed the functionality of the three disease surveillance systems used post-Haiyan: Philippine Integrated Disease Surveillance and Response (PIDSR), Event-based Surveillance and Response (ESR) and Surveillance in Post Extreme Emergencies and Disasters (SPEED). A survey of 45 government health officers from affected areas was conducted in March 2014. The survey documented when each of the systems was operational and included questions that ranked the functionality of the three surveillance systems and whether they complemented each other. Two of 11 (18%) surveillance units had an operational SPEED system pre-event. PIDSR and ESR remained operational in five of 11 (45%) surveillance units without interruption of reporting. Ten surveillance units (91%) rated PIDSR as functional post-Typhoon; eight (72.7%) considered ESR functional. SPEED was rated as functional by three (27%) surveillance units. Seven of 11 (63.6%) surveillance units rated the three systems as being complementary to each other. In most of the areas affected by Typhoon Haiyan, the routine surveillance systems (PIDSR and ESR) were not disrupted; although, in Leyte it took seven weeks for these to be operational. Although SPEED is recommended for activation within 48 hours after a disaster, this did not occur in most of the surveyed areas. Most of the surveillance units rated PIDSR, ESR and SPEED to be complementary to each other.

  8. Modeling the Cost-Effectiveness of the Integrated Disease Surveillance and Response (IDSR) System: Meningitis in Burkina Faso

    PubMed Central

    Somda, Zana C.; Perry, Helen N.; Messonnier, Nancy R.; Djingarey, Mamadou H.; Ki, Salimata Ouedraogo; Meltzer, Martin I.

    2010-01-01

    Background Effective surveillance for infectious diseases is an essential component of public health. There are few studies estimating the cost-effectiveness of starting or improving disease surveillance. We present a cost-effectiveness analysis the Integrated Disease Surveillance and Response (IDSR) strategy in Africa. Methodology/Principal Findings To assess the impact of the IDSR in Africa, we used pre- and post- IDSR meningococcal meningitis surveillance data from Burkina Faso (1996–2002 and 2003–2007). IDSR implementation was correlated with a median reduction of 2 weeks to peak of outbreaks (25th percentile 1 week; 75th percentile 4 weeks). IDSR was also correlated with a reduction of 43 meningitis cases per 100,000 (25th–40: 75th-129). Assuming the correlations between reductions in time to peak of outbreaks and cases are related, the cost-effectiveness of IDSR was $23 per case averted (25th-$30; 75th - cost saving), and $98 per meningitis-related death averted (25th-$140: 75th – cost saving). Conclusions/Significance We cannot absolutely claim that the measured differences were due to IDSR. We believe, however, that it is reasonable to claim that IDSR can improve the cost-effectiveness of public health surveillance. PMID:20927386

  9. Citizen Science and Wildlife Disease Surveillance.

    PubMed

    Lawson, Becki; Petrovan, Silviu O; Cunningham, Andrew A

    2015-12-01

    Achieving effective wildlife disease surveillance is challenging. The incorporation of citizen science (CS) in wildlife health surveillance can be beneficial, particularly where resources are limited and cost-effectiveness is paramount. Reports of wildlife morbidity and mortality from the public facilitate large-scale surveillance, both in time and space, which would otherwise be financially infeasible, and raise awareness of incidents occurring on privately owned land. CS wildlife disease surveillance schemes benefit scientists, the participating public and wildlife alike. CS has been employed for targeted, scanning and syndromic surveillance of wildlife disease. Whilst opportunistic surveillance is most common, systematic observations enable the standardisation of observer effort and, combined with wildlife population monitoring schemes, can allow evaluation of disease impacts at the population level. Near-universal access to digital media has revolutionised reporting modalities and facilitated rapid and economical means of sharing feedback with participants. Here we review CS schemes for wildlife disease surveillance and highlight their scope, benefits, logistical considerations, financial implications and potential limitations. The need to adopt a collaborative and multidisciplinary approach to wildlife health surveillance is increasingly recognised and the general public can make a significant contribution through CS.

  10. Use of a multi-criteria analysis framework to inform the design of risk based general surveillance systems for animal disease in Australia.

    PubMed

    East, I J; Wicks, R M; Martin, P A J; Sergeant, E S G; Randall, L A; Garner, M G

    2013-11-01

    Australia is a major exporter of livestock and livestock products; a trade assisted by a favourable animal health status. However, increasing international travel and trade, land use changes and climatic change increase the risks of exotic and emerging diseases. At the same time, public sector resources for managing these risks are static or declining. Animal health authorities in Australia identified the need to develop a consistent national approach to surveillance that allocates resources according to risk. A study was undertaken to assess the relative likelihood of occurrence of eight significant diseases of concern to animal health authorities with the aim of producing risk maps to better manage animal disease surveillance. The likelihood of disease occurrence was considered in terms of the likelihood that a disease is introduced and the likelihood that the disease establishes and spreads. Pathways for introduction and exposure and for establishment and spread were identified and data layers representing the factors contributing to each pathway produced as raster maps. A multi-criteria analysis process was used to combine data layers into pathways and pathways into likelihood maps using weightings that reflect the relative importance of each layer and pathway. The likelihood maps for introduction and exposure and for establishment and spread were combined to generate national likelihood maps for each disease. To inform Australia's general surveillance system that exists to detect any disease of importance, the spatial profiles of the eight diseases were subsequently combined using weightings to reflect their relative consequences. The result was a map of relative likelihood of occurrence of any significant disease. Current surveillance activity was assessed by combining data layers for government disease investigations, proximity to vets and wildlife disease investigations. Comparison of the overall risk and current surveillance maps showed that the

  11. SETI radio spectrum surveillance system

    NASA Technical Reports Server (NTRS)

    Crow, B.; Lokshin, A.; Marina, M.; Ching, L.

    1985-01-01

    The SETI Radio Spectrum Surveillance System (SRSSS) will provide a data base for assessing the radio frequency interference (RFI) environment for SETI and minimizing RFI disruptions during the search. The system's hardware and software are described and the sensitivity of the system is discussed.

  12. A new paradigm for disease surveillance in Vietnam.

    PubMed

    Katona, Lindsay B; Rosen, Joseph M; Vu, Nguyen C; Nguyen, Cuong K; Dang, Linh T; Thiem, Vu D; Nguyen, Khanh C; Ratner, Kyle G; Gan, Kevin; Katona, Peter

    2014-05-01

    Medical surveillance data from all government health clinics in Vietnam are currently collected through a slow, paper-driven process. Short message service (SMS) technology delivered through mobile phones offers a simple solution to improving the speed through which disease surveillance information can be collected. Identifying health concerns earlier with this mobile-based disease surveillance system has the potential to improve the care for patients seen at community health clinics as well as predict more quickly that a medical emergency, such as a pandemic, will occur. Thus, we piloted the feasibility of an SMS-based disease surveillance system designed for healthcare workers in Vietnam to directly report disease information on diarrhea and influenza-like illness to a central data repository using their mobile phones and an intuitive, user-friendly platform. This article reports data from 1,579 patient data entries in 20 Vietnamese health clinics during a 6-month period.

  13. Air pollution surveillance systems.

    PubMed

    Morgan, G B; Ozolins, G; Tabor, E C

    1970-10-16

    Atmospheric surveillance is necessary in order to identify airborne pollutants, to establish ambient concentrations of these pollutants, and to record their trends and patterns. Air pollutants may occur in the form of gases, liquids, and solids, both singly and in combination. Gaseous pollutants make up about 90 percent of the total mass emitted to the atmosphere with particulates and aerosols accounting for the remaining 10 percent. Small particulates are of particular importance because they may be in the respirable size range. These small particles may contain biologically active elements and compounds. Furthermore, they tend to remain in the atmosphere where they interfere with both solar and terrestrial infrared radiation, which may affect climate on a global basis.

  14. An integrated national mortality surveillance system for death registration and mortality surveillance, China.

    PubMed

    Liu, Shiwei; Wu, Xiaoling; Lopez, Alan D; Wang, Lijun; Cai, Yue; Page, Andrew; Yin, Peng; Liu, Yunning; Li, Yichong; Liu, Jiangmei; You, Jinling; Zhou, Maigeng

    2016-01-01

    In China, sample-based mortality surveillance systems, such as the Chinese Center for Disease Control and Prevention's disease surveillance points system and the Ministry of Health's vital registration system, have been used for decades to provide nationally representative data on health status for health-care decision-making and performance evaluation. However, neither system provided representative mortality and cause-of-death data at the provincial level to inform regional health service needs and policy priorities. Moreover, the systems overlapped to a considerable extent, thereby entailing a duplication of effort. In 2013, the Chinese Government combined these two systems into an integrated national mortality surveillance system to provide a provincially representative picture of total and cause-specific mortality and to accelerate the development of a comprehensive vital registration and mortality surveillance system for the whole country. This new system increased the surveillance population from 6 to 24% of the Chinese population. The number of surveillance points, each of which covered a district or county, increased from 161 to 605. To ensure representativeness at the provincial level, the 605 surveillance points were selected to cover China's 31 provinces using an iterative method involving multistage stratification that took into account the sociodemographic characteristics of the population. This paper describes the development and operation of the new national mortality surveillance system, which is expected to yield representative provincial estimates of mortality in China for the first time.

  15. United States Renal Data System public health surveillance of chronic kidney disease and end-stage renal disease.

    PubMed

    Collins, Allan J; Foley, Robert N; Gilbertson, David T; Chen, Shu-Cheng

    2015-06-01

    The United States Renal Data System (USRDS) began in 1989 through US Congressional authorization under National Institutes of Health competitive contracting. Its history includes five contract periods, two of 5 years, two of 7.5 years, and the fifth, awarded in February 2014, of 5 years. Over these 25 years, USRDS reporting transitioned from basic incidence and prevalence of end-stage renal disease (ESRD), modalities, and overall survival, as well as focused special studies on dialysis, in the first two contract periods to a comprehensive assessment of aspects of care that affect morbidity and mortality in the second two periods. Beginning in 1999, the Minneapolis Medical Research Foundation investigative team transformed the USRDS into a total care reporting system including disease severity, hospitalizations, pediatric populations, prescription drug use, and chronic kidney disease and the transition to ESRD. Areas of focus included issues related to death rates in the first 4 months of treatment, sudden cardiac death, ischemic and valvular heart disease, congestive heart failure, atrial fibrillation, and infectious complications (particularly related to dialysis catheters) in hemodialysis and peritoneal dialysis patients; the burden of congestive heart failure and infectious complications in pediatric dialysis and transplant populations; and morbidity and access to care. The team documented a plateau and decline in incidence rates, a 28% decline in death rates since 2001, and changes under the 2011 Prospective Payment System with expanded bundled payments for each dialysis treatment. The team reported on Bayesian methods to calculate mortality ratios, which reduce the challenges of traditional methods, and introduced objectives under the Health People 2010 and 2020 national health care goals for kidney disease.

  16. United States Renal Data System public health surveillance of chronic kidney disease and end-stage renal disease

    PubMed Central

    Collins, Allan J; Foley, Robert N; Gilbertson, David T; Chen, Shu-Cheng

    2015-01-01

    The United States Renal Data System (USRDS) began in 1989 through US Congressional authorization under National Institutes of Health competitive contracting. Its history includes five contract periods, two of 5 years, two of 7.5 years, and the fifth, awarded in February 2014, of 5 years. Over these 25 years, USRDS reporting transitioned from basic incidence and prevalence of end-stage renal disease (ESRD), modalities, and overall survival, as well as focused special studies on dialysis, in the first two contract periods to a comprehensive assessment of aspects of care that affect morbidity and mortality in the second two periods. Beginning in 1999, the Minneapolis Medical Research Foundation investigative team transformed the USRDS into a total care reporting system including disease severity, hospitalizations, pediatric populations, prescription drug use, and chronic kidney disease and the transition to ESRD. Areas of focus included issues related to death rates in the first 4 months of treatment, sudden cardiac death, ischemic and valvular heart disease, congestive heart failure, atrial fibrillation, and infectious complications (particularly related to dialysis catheters) in hemodialysis and peritoneal dialysis patients; the burden of congestive heart failure and infectious complications in pediatric dialysis and transplant populations; and morbidity and access to care. The team documented a plateau and decline in incidence rates, a 28% decline in death rates since 2001, and changes under the 2011 Prospective Payment System with expanded bundled payments for each dialysis treatment. The team reported on Bayesian methods to calculate mortality ratios, which reduce the challenges of traditional methods, and introduced objectives under the Health People 2010 and 2020 national health care goals for kidney disease. PMID:26097778

  17. Disease reporting and surveillance: where do companion animal diseases fit in?

    PubMed

    Moore, George E; Lund, Elizabeth

    2009-03-01

    Disease surveillance and reporting is a necessary and integral part of public health practice. Surveillance systems have been developed over many years for both human medicine and veterinary medicine. However, these systems are not usually interconnected. Today, with the benefits of advanced information technology, the development and integration of existing and new resources in companion-animal practice should be focused on "one medicine-one health" for the betterment and health of all species. This means more sharing of surveillance data, greater cooperation among organizations involved in surveillance, and further integration of human and animal surveillance activities.

  18. Critical issues in implementing a national integrated all-vaccine preventable disease surveillance system☆

    PubMed Central

    Hyde, Terri B.; Andrus, Jon K.; Dietz, Vance J.; Andrus, Jon K.; Hyde, Terri B.; Lee, Carla E.; Widdowson, Marc-Alain; Verani, Jennifer R.; Friedman, Cindy; Azziz-Baumgartner, Eduardo; Lopez, Adriana S.; Jumaan, Aisha; Dietz, Vance J.

    2015-01-01

    In 2007, the World Health Organization published the Global Framework for Immunization Monitoring and Surveillance (GFIMS) outlining measures to enhance national surveillance for vaccine preventable diseases (VPDs). The GFIMS emphasized that VPD surveillance should be integrated and placed in a ‘unified framework’ building upon the strengths of existing surveillance systems to prevent duplication of activities common to all surveillance systems and to minimize human resource and supply expenditures. Unfortunately, there was little experience in actually developing integrated VPD surveillance. We describe the process of developing operational guidance for ministries of health to implement such an integrated surveillance system for multiple VPDs. PMID:23777699

  19. Smart sensing surveillance video system

    NASA Astrophysics Data System (ADS)

    Hsu, Charles; Szu, Harold

    2016-05-01

    An intelligent video surveillance system is able to detect and identify abnormal and alarming situations by analyzing object movement. The Smart Sensing Surveillance Video (S3V) System is proposed to minimize video processing and transmission, thus allowing a fixed number of cameras to be connected on the system, and making it suitable for its applications in remote battlefield, tactical, and civilian applications including border surveillance, special force operations, airfield protection, perimeter and building protection, and etc. The S3V System would be more effective if equipped with visual understanding capabilities to detect, analyze, and recognize objects, track motions, and predict intentions. In addition, alarm detection is performed on the basis of parameters of the moving objects and their trajectories, and is performed using semantic reasoning and ontologies. The S3V System capabilities and technologies have great potential for both military and civilian applications, enabling highly effective security support tools for improving surveillance activities in densely crowded environments. It would be directly applicable to solutions for emergency response personnel, law enforcement, and other homeland security missions, as well as in applications requiring the interoperation of sensor networks with handheld or body-worn interface devices.

  20. Steps to a Sustainable Public Health Surveillance Enterprise
A Commentary from the International Society for Disease Surveillance

    PubMed Central

    Mirza, Nabila; Reynolds, Tera; Coletta, Michael; Suda, Katie; Soyiri, Ireneous; Markle, Ariana; Leopold, Henry; Lenert, Leslie; Samoff, Erika; Siniscalchi, Alan; Streichert, Laura

    2013-01-01

    More than a decade into the 21st century, the ability to effectively monitor community health status, as well as forecast, detect, and respond to disease outbreaks and other events of public health significance, remains a major challenge. As an issue that affects population health, economic stability, and global security, the public health surveillance enterprise warrants the attention of decision makers at all levels. Public health practitioners responsible for surveillance functions are best positioned to identify the key elements needed for creating and maintaining effective and sustainable surveillance systems. This paper presents the recommendations of the Sustainable Surveillance Workgroup convened by the International Society for Disease Surveillance (ISDS) to identify strategies for building, strengthening, and maintaining surveillance systems that are equipped to provide data continuity and to handle both established and new data sources and public health surveillance practices. PMID:23923095

  1. Steps to a sustainable public health surveillance enterprise
a commentary from the international society for disease surveillance.

    PubMed

    Mirza, Nabila; Reynolds, Tera; Coletta, Michael; Suda, Katie; Soyiri, Ireneous; Markle, Ariana; Leopold, Henry; Lenert, Leslie; Samoff, Erika; Siniscalchi, Alan; Streichert, Laura

    2013-01-01

    More than a decade into the 21(st) century, the ability to effectively monitor community health status, as well as forecast, detect, and respond to disease outbreaks and other events of public health significance, remains a major challenge. As an issue that affects population health, economic stability, and global security, the public health surveillance enterprise warrants the attention of decision makers at all levels. Public health practitioners responsible for surveillance functions are best positioned to identify the key elements needed for creating and maintaining effective and sustainable surveillance systems. This paper presents the recommendations of the Sustainable Surveillance Workgroup convened by the International Society for Disease Surveillance (ISDS) to identify strategies for building, strengthening, and maintaining surveillance systems that are equipped to provide data continuity and to handle both established and new data sources and public health surveillance practices.

  2. Integrating animal health and foodborne disease surveillance.

    PubMed

    Berman, E M; Shimshony, A

    2013-08-01

    The control of foodborne diseases from an animal source has become an important part of public health policy. Since the agents that cause these diseases originate in animals, Veterinary Services, as well as Public Health Services, must be involved in their control. Control programmes should be established either through cooperation between the two Services or by the consolidation of all those involved into a single food control agency. Surveillance is an important part of these control programmes. The following questions must be addressed when planning an effective surveillance programme. What is the relative incidence, morbidity, mortality and economic cost of the foodborne disease in humans? Is the animal population the exclusive or a significant source of the human foodborne infection? What kind of surveillance is needed to identify the disease-causing agent in the animal population? Are we interested in identifying all cases of a disease in order to eradicate it or is our aim to reduce its incidence in the animal population? Do we have the ability to control the disease in the animal population? What disease detection tests are available? What are the sensitivity, specificity and cost of these diagnostic tests? Finally, does the country, region or agency involved have the legal, financial and educational resources to carry out this surveillance and follow it up with appropriate action? After these questions have been resolved,the veterinary and public health sectors must jointly decide if surveillance and control are feasible. If so, they can then begin to develop an appropriate programme.

  3. Air-traffic surveillance systems

    NASA Technical Reports Server (NTRS)

    Macdoran, P. F.

    1979-01-01

    Passive ground-based radio-interferometry systems (RILS) monitor local air traffic by determining aircraft position in planes defined by surveillance area. Similar RILS arrangements are used to determine aircraft positions in three dimensions when combined with azimuth and range information obtained by radar. Information helps determine three-dimensional aircraft position without expensive encoding altimeters.

  4. [Surveillance as an effective approach to infectious diseases control and prevention].

    PubMed

    Wang, L P; Cao, W C

    2017-04-10

    Infectious disease surveillance have played an important role in the national diseases prevention and control strategies. In line with the reporting system, infectious disease surveillance has been greatly improved and played pivotal role in preventing epidemics since 1949 in China. To date, surveillance remains an effective approach to infectious disease control and prevention because of the global serious situation. In this column "infectious disease surveillance" , we have involved articles as systematic analysis of surveillance data and solid evidence related to the development of strategies and measures for infectious diseases control and prevention.

  5. Dengue disease surveillance: an updated systematic literature review

    PubMed Central

    Runge-Ranzinger, S; McCall, P J; Kroeger, A; Horstick, O

    2014-01-01

    Objectives To review the evidence for the application of tools for dengue outbreak prediction/detection and trend monitoring in passive and active disease surveillance systems in order to develop recommendations for endemic countries and identify important research needs. Methods This systematic literature review followed the protocol of a review from 2008, extending the systematic search from January 2007 to February 2013 on PubMed, EMBASE, CDSR, WHOLIS and Lilacs. Data reporting followed the PRISMA statement. The eligibility criteria comprised (i) population at risk of dengue, (ii) dengue disease surveillance, (iii) outcome of surveillance described and (iv) empirical data evaluated. The analysis classified studies based on the purpose of the surveillance programme. The main limitation of the review was expected publication bias. Results A total of 1116 papers were identified of which 36 articles were included in the review. Four cohort-based prospective studies calculated expansion factors demonstrating remarkable levels of underreporting in the surveillance systems. Several studies demonstrated that enhancement methods such as laboratory support, sentinel-based reporting and staff motivation contributed to improvements in dengue reporting. Additional improvements for passive surveillance systems are possible by incorporating simple data forms/entry/electronic-based reporting; defining clear system objectives; performing data analysis at the lowest possible level (e.g. district); seeking regular data feedback. Six studies showed that serotype changes were positively correlated with the number of reported cases or with dengue incidence, with lag times of up to 6 months. Three studies found that data on internet searches and event-based surveillance correlated well with the epidemic curve derived from surveillance data. Conclusions Passive surveillance providing the baseline for outbreak alert should be strengthened and appropriate threshold levels for outbreak

  6. Ebola virus disease surveillance and response preparedness in northern Ghana.

    PubMed

    Adokiya, Martin N; Awoonor-Williams, John K

    2016-01-01

    The recent Ebola virus disease (EVD) outbreak has been described as unprecedented in terms of morbidity, mortality, and geographical extension. It also revealed many weaknesses and inadequacies for disease surveillance and response systems in Africa due to underqualified staff, cultural beliefs, and lack of trust for the formal health care sector. In 2014, Ghana had high risk of importation of EVD cases. The objective of this study was to assess the EVD surveillance and response system in northern Ghana. This was an observational study conducted among 47 health workers (district directors, medical, disease control, and laboratory officers) in all 13 districts of the Upper East Region representing public, mission, and private health services. A semi-structured questionnaire with focus on core and support functions (e.g. detection, confirmation) was administered to the informants. Their responses were recorded according to specific themes. In addition, 34 weekly Integrated Disease Surveillance and Response reports (August 2014 to March 2015) were collated from each district. In 2014 and 2015, a total of 10 suspected Ebola cases were clinically diagnosed from four districts. Out of the suspected cases, eight died and the cause of death was unexplained. All the 10 suspected cases were reported, none was confirmed. The informants had knowledge on EVD surveillance and data reporting. However, there were gaps such as delayed reporting, low quality protective equipment (e.g. gloves, aprons), inadequate staff, and lack of laboratory capacity. The majority (38/47) of the respondents were not satisfied with EVD surveillance system and response preparedness due to lack of infrared thermometers, ineffective screening, and lack of isolation centres. EVD surveillance and response preparedness is insufficient and the epidemic is a wake-up call for early detection and response preparedness. Ebola surveillance remains a neglected public health issue. Thus, disease surveillance

  7. Ebola virus disease surveillance and response preparedness in northern Ghana

    PubMed Central

    Adokiya, Martin N.; Awoonor-Williams, John K.

    2016-01-01

    Background The recent Ebola virus disease (EVD) outbreak has been described as unprecedented in terms of morbidity, mortality, and geographical extension. It also revealed many weaknesses and inadequacies for disease surveillance and response systems in Africa due to underqualified staff, cultural beliefs, and lack of trust for the formal health care sector. In 2014, Ghana had high risk of importation of EVD cases. Objective The objective of this study was to assess the EVD surveillance and response system in northern Ghana. Design This was an observational study conducted among 47 health workers (district directors, medical, disease control, and laboratory officers) in all 13 districts of the Upper East Region representing public, mission, and private health services. A semi-structured questionnaire with focus on core and support functions (e.g. detection, confirmation) was administered to the informants. Their responses were recorded according to specific themes. In addition, 34 weekly Integrated Disease Surveillance and Response reports (August 2014 to March 2015) were collated from each district. Results In 2014 and 2015, a total of 10 suspected Ebola cases were clinically diagnosed from four districts. Out of the suspected cases, eight died and the cause of death was unexplained. All the 10 suspected cases were reported, none was confirmed. The informants had knowledge on EVD surveillance and data reporting. However, there were gaps such as delayed reporting, low quality protective equipment (e.g. gloves, aprons), inadequate staff, and lack of laboratory capacity. The majority (38/47) of the respondents were not satisfied with EVD surveillance system and response preparedness due to lack of infrared thermometers, ineffective screening, and lack of isolation centres. Conclusion EVD surveillance and response preparedness is insufficient and the epidemic is a wake-up call for early detection and response preparedness. Ebola surveillance remains a neglected public

  8. Review of software for space-time disease surveillance

    PubMed Central

    2010-01-01

    Disease surveillance makes use of information technology at almost every stage of the process, from data collection and collation, through to analysis and dissemination. Automated data collection systems enable near-real time analysis of incoming data. This context places a heavy burden on software used for space-time surveillance. In this paper, we review software programs capable of space-time disease surveillance analysis, and outline some of their salient features, shortcomings, and usability. Programs with space-time methods were selected for inclusion, limiting our review to ClusterSeer, SaTScan, GeoSurveillance and the Surveillance package for R. We structure the review around stages of analysis: preprocessing, analysis, technical issues, and output. Simulated data were used to review each of the software packages. SaTScan was found to be the best equipped package for use in an automated surveillance system. ClusterSeer is more suited to data exploration, and learning about the different methods of statistical surveillance. PMID:20226054

  9. Creating a Global Dialogue on Infectious Disease Surveillance: Connecting Organizations for Regional Disease Surveillance (CORDS)

    PubMed Central

    Gresham, Louise S.; Smolinski, Mark S.; Suphanchaimat, Rapeepong; Kimball, Ann Marie; Wibulpolprasert, Suwit

    2013-01-01

    Connecting Organizations for Regional Disease Surveillance (CORDS) is an international non-governmental organization focused on information exchange between disease surveillance networks in different areas of the world. By linking regional disease surveillance networks, CORDS builds a trust-based social fabric of experts who share best practices, surveillance tools and strategies, training courses, and innovations. CORDS exemplifies the shifting patterns of international collaboration needed to prevent, detect, and counter all types of biological dangers – not just naturally occurring infectious diseases, but also terrorist threats. Representing a network-of-networks approach, the mission of CORDS is to link regional disease surveillance networks to improve global capacity to respond to infectious diseases. CORDS is an informal governance cooperative with six founding regional disease surveillance networks, with plans to expand; it works in complement and cooperatively with the World Health Organization (WHO), the World Organization for Animal Health (OIE), and the Food and Animal Organization of the United Nations (FAO). As described in detail elsewhere in this special issue of Emerging Health Threats, each regional network is an alliance of a small number of neighboring countries working across national borders to tackle emerging infectious diseases that require unified regional efforts. Here we describe the history, culture and commitment of CORDS; and the novel and necessary role that CORDS serves in the existing international infectious disease surveillance framework. PMID:23362412

  10. Creating a global dialogue on infectious disease surveillance: connecting organizations for regional disease surveillance (CORDS).

    PubMed

    Gresham, Louise S; Smolinski, Mark S; Suphanchaimat, Rapeepong; Kimball, Ann Marie; Wibulpolprasert, Suwit

    2013-01-01

    Connecting Organizations for Regional Disease Surveillance (CORDS) is an international non-governmental organization focused on information exchange between disease surveillance networks in different areas of the world. By linking regional disease surveillance networks, CORDS builds a trust-based social fabric of experts who share best practices, surveillance tools and strategies, training courses, and innovations. CORDS exemplifies the shifting patterns of international collaboration needed to prevent, detect, and counter all types of biological dangers - not just naturally occurring infectious diseases, but also terrorist threats. Representing a network-of-networks approach, the mission of CORDS is to link regional disease surveillance networks to improve global capacity to respond to infectious diseases. CORDS is an informal governance cooperative with six founding regional disease surveillance networks, with plans to expand; it works in complement and cooperatively with the World Health Organization (WHO), the World Organization for Animal Health (OIE), and the Food and Animal Organization of the United Nations (FAO). As described in detail elsewhere in this special issue of Emerging Health Threats, each regional network is an alliance of a small number of neighboring countries working across national borders to tackle emerging infectious diseases that require unified regional efforts. Here we describe the history, culture and commitment of CORDS; and the novel and necessary role that CORDS serves in the existing international infectious disease surveillance framework.

  11. Epidemiological surveillance methods for vector-borne diseases.

    PubMed

    Thompson, P N; Etter, E

    2015-04-01

    Compared with many other diseases, the ever-increasing threat of vector-borne diseases (VBDs) represents a great challenge to public and animal health managers. Complex life cycles, changing distribution ranges, a variety of potential vectors and hosts, and the possible role of reservoirs make surveillance for VBDs a grave concern in a changing environment with increasing economic constraints. Surveillance activities may have various specific objectives and may focus on clinical disease, pathogens, vectors, hosts and/or reservoirs, but ultimately such activities should improve our ability to predict, prevent and/or control the diseases concerned. This paper briefly reviews existing and newly developed tools for the surveillance of VBDs. A range of examples, by no means exhaustive, illustrates that VBD surveillance usually involves a combination of methods to achieve its aims, and is best accomplished when these techniques are adapted to the specific environment and constraints of the region. More so than any other diseases, VBDs respect no administrative boundaries; in addition, animal, human and commodity movements are increasing dramatically, with illegal or unknown movements difficult to quantify. Vector-borne disease surveillance therefore becomes a serious issue for local and national organisations and is being conducted more and more at the regional and international level through multidisciplinary networks. With economic and logistical constraints, tools for optimising and evaluating the performance of surveillance systems are essential and examples of recent developments in this area are included. The continuous development of mapping, analytical and modelling tools provides us with an enhanced ability to interpret, visualise and communicate surveillance results. This review also demonstrates the importance of the link between surveillance and research, with interactions and benefits in both directions.

  12. Industrial Process Surveillance System

    DOEpatents

    Gross, Kenneth C.; Wegerich, Stephan W; Singer, Ralph M.; Mott, Jack E.

    2001-01-30

    A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

  13. Industrial process surveillance system

    DOEpatents

    Gross, Kenneth C.; Wegerich, Stephan W.; Singer, Ralph M.; Mott, Jack E.

    1998-01-01

    A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

  14. Industrial process surveillance system

    DOEpatents

    Gross, K.C.; Wegerich, S.W.; Singer, R.M.; Mott, J.E.

    1998-06-09

    A system and method are disclosed for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy. 96 figs.

  15. [Analysis on bacillary dysentery surveillance data collected from the National Surveillance System in 2007.].

    PubMed

    Zhong, Hao-jie; Chang, Zhao-rui; Zhang, Jing

    2010-03-01

    To improve the national surveillance plan on bacillary dysentery and to increase the sensitivity of the surveillance system on the disease. Data was collected through China Disease Reporting Information System (CDRIS) and National Sentinel Surveillance Sites on bacillary dysentery. Data from the CDRIS was compared with the data from the National Sentinel Surveillance to identify the exiting problems. Data from the monitoring sites showed that the detection rate of infant cases of bacillary dysentery infection was 1%, less than that of other age groups. The highest rates were seen in children aged 3 through 9 years. Rate on misdiagnosis in all age group was 23.38%, when using the surveillance case definition of clinical cases and suspect case. The rate of misdiagnosis on infant cases of bacillary dysentery infection by clinical diagnosis was 50%. It showed that Shigella flexneri and Shigella sonnei were dominant with the positive rates as 57.21% and 42.41%, respectively. From the national sentinel surveillance sites, the confirmed cases taking up 43.39% which did not match the figure from the CDRIS. The diagnostic criterion for bacillary dysentery fit well on other age groups in surveillance system except on infants. Active surveillance on bacillary dysentery that combining both clinical and laboratory diagnosis seems quite necessary on CDRIS, especially for infants.

  16. The FIFA Women's World Cup in Germany 2011--a practical example for tailoring an event-specific enhanced infectious disease surveillance system.

    PubMed

    Takla, Anja; Velasco, Edward; Benzler, Justus

    2012-07-31

    Mass gatherings require a decision from public health authorities on how to monitor infectious diseases during the event. The appropriate level of enhanced surveillance depends on parameters like the scale of the event (duration, spatial distribution, season), participants' origin, amount of public attention, and baseline disease activity in the host country. For the FIFA Men's World Cup 2006, Germany implemented enhanced surveillance. As the scale of the FIFA Women's World Cup (June 26 - July 17, 2011) was estimated to be substantially smaller in size, visitors and duration, it was not feasible to simply adopt the previously implemented measures. Our aim was therefore to develop a strategy to tailor an event-specific enhanced surveillance for this smaller-scale mass gathering. Based on the enhanced surveillance measures during the Men's Cup, we conducted a needs assessment with the district health authorities in the 9 host cities in March 2011. Specific measures with a majority consent were implemented. After the event, we surveyed the 9 district and their corresponding 7 state health authorities to evaluate the implemented measures. All 9 district health authorities participated in the pre-event needs assessment. The majority of sites consented to moving from weekly to daily (Monday-Friday) notification reporting of routine infectious diseases, receiving regular feedback on those notification reports and summaries of national/international World Cup-relevant epidemiological incidents, e.g. outbreaks in countries of participating teams. In addition, we decided to implement twice-weekly reports of "unusual events" at district and state level. This enhanced system would commence on the first day and continue to one day following the tournament. No World Cup-related infectious disease outbreaks were reported during this time period. Eight of 9 district and 6 of 8 state health authorities participated in the final evaluation. The majority perceived the implemented

  17. Invasive meningococcal disease in the Veneto region of Italy: a capture-recapture analysis for assessing the effectiveness of an integrated surveillance system.

    PubMed

    Baldovin, Tatjana; Lazzari, Roberta; Cocchio, Silvia; Furlan, Patrizia; Bertoncello, Chiara; Saia, Mario; Russo, Francesca; Baldo, Vincenzo

    2017-05-02

    Epidemiology of Neisseria meningitidis has been changing since the introduction of universal vaccination programmes against meningococcal serogroup C (MenC) and meningococcal serogroup B (MenB) has now become dominant. This study aimed to analyse the cases reported in institutional data recording systems to estimate the burden of invasive meningococcal diseases (IMDs) and assess the effectiveness of surveillance in Veneto region (Italy). Analysis was performed from 2007 to 2014 on data recorded in different systems: Mandatory Notification System, National Surveillance of Invasive Bacterial Diseases System and Laboratories Surveillance System (LSS), which were pooled into a combined surveillance system (CSS) and hospital discharge records (HDRs). A capture-recapture method was used and completeness of each source estimated. Number of cases with IMD by source of information and year, incidence of IMD by age group, case fatality rate (CFR) and distribution of meningococcal serogroups by year were also analysed. Combining the four data systems enabled the identification of 179 confirmed cases with IMD, achieving an overall sensitivity of 94.7% (95% CI: 90.8% to 98.8%), while it was 76.7% (95% CI: 73.6% to 80.1%) for CSS and 77.2% (95% CI: 74.1% to 80.6%) for HDRs. Typing of isolates was done in 80% of cases, and 95.2% of the typed cases were provided by LSS. Serogroup B was confirmed in 50.3% of cases. The estimated IMD notification rate (cases with IMD diagnosed and reported to the surveillance systems) was 0.48/100 000 population, and incidence peaked at 6.2/100 000 in children aged <1 year old (60.9% due to MenB), and increased slightly in the age group between 15 and 19 years (1.1/100 000). A CFR of 14% was recorded (8.7% in paediatric age). Quality of surveillance systems relies on case ascertainment based on serological characterisation of the circulating strains by microbiology laboratories. All available sources should be routinely combined to improve the

  18. Advanced space system for geostationary orbit surveillance

    NASA Astrophysics Data System (ADS)

    Klimenko, N. N.; Nazarov, A. E.

    2016-12-01

    The structure and orbital configuration of the advanced space system for geostationary orbit surveillance, as well as possible approaches to the development of the satellite bus and payload for the geostationary orbit surveillance, are considered.

  19. 2012 Sexually Transmitted Diseases Surveillance

    MedlinePlus

    ... Special Profiles Census Regions National Overview National Profile Chlamydia Figures Gonorrhea Figures Syphilis Figures Other STDs Figures ... Transmitted Diseases (STDs), 2012 National Profile National Profile Chlamydia Gonorrhea Syphilis Other Sexually Transmitted Diseases Special Focus ...

  20. A web-based system for near real-time surveillance and space-time cluster analysis of foot-and-mouth disease and other animal diseases.

    PubMed

    Perez, Andres M; Zeng, Daniel; Tseng, Chun-ju; Chen, Hsinchun; Whedbee, Zachary; Paton, David; Thurmond, Mark C

    2009-09-01

    Considerable attention has been given lately to the need for global systems for animal disease surveillance that support real-time assessment of changing temporal-spatial risks. Until recently, however, prospects for development of such systems have been limited by the lack of informatics tools and an overarching collaboration framework to enable real-time data capturing, sharing, analysis, and related decision-making. In this paper, we present some of the tools of the FMD BioPortal System (www.fmd.ucdavis.edu/bioportal), which is a web-based system that facilitates near real-time information sharing, visualization, and advanced space-time cluster analysis for foot-and-mouth disease (FMD). Using this system, FMD information that is collected and maintained at various data acquisition and management sites around the world can be submitted to a data repository using various mutually agreed upon Extensible Markup Language (XML) formats, including Health Level Seven (HL7). FMD BioPortal makes available a set of advanced space-time cluster analysis techniques, including scan statistic-based methods and machine learning-based clustering methods. These techniques are aimed at identifying local clusters of disease cases in relation to the background risk. Data and analysis results can be displayed using a novel visualization environment, which supports multiple views including GIS, timeline, and periodical patterns. All FMD BioPortal functionalities are accessible through the Web and data confidentiality can be secured through user access control and computer network security techniques such as Secure Sockets Layer (SSL). FMD BioPortal is currently operational with limited data routinely collected by the Office International des Epizooties, the GenBank, the FMD World Reference Laboratory in Pirbright, and by the FMD Laboratory at the University of California in Davis. Here we describe technical attributes and capabilities of FMD BioPortal and illustrate its functionality

  1. Community Event-Based Surveillance for Ebola Virus Disease in Sierra Leone: Implementation of a National-Level System During a Crisis

    PubMed Central

    Stone, Erin; Miller, Laura; Jasperse, Joseph; Privette, Grayson; Diez Beltran, Juan Cruz; Jambai, Amara; Kpaleyea, John; Makavore, Alfred; Kamara, Mohamed Foday; Ratnayake, Ruwan

    2016-01-01

    INTRODUCTION: There are few documented examples of community networks that have used unstructured information to support surveillance during a health emergency. In January 2015, the Ebola Response Consortium rapidly implemented community event-based surveillance for Ebola virus disease at a national scale in Sierra Leone. METHODS: Community event based surveillance uses community health monitors in each community to provide an early warning system of events that are suggestive of Ebola virus disease transmission. The Ebola Response Consortium, a consortium of 15 nongovernmental organizations, applied a standardized procedure to implement community event-based surveillance across nine of the 14 districts. To evaluate system performance during the first six months of operation (March to August 2015), we conducted a process evaluation. We analyzed the production of alerts, conducted interviews with surveillance stakeholders and performed rapid evaluations of community health monitors to assess their knowledge and reported challenges. RESULTS: The training and procurement of supplies was expected to begin in January 2015 and attain full scale by March 2015. We found several logistical challenges that delayed full implementation until June 2015 when the epidemic was past its peak. Community health monitors reported 9,131 alerts during this period. On average, 82% of community health monitors reported to their supervisor at least once per week. Most alerts (87%) reported by community health monitors were deaths unrelated to Ebola. During the rapid evaluations, the mean recall by community health monitors was three of the six trigger events. Implementation of the national system achieved scale, but three months later than anticipated. DISCUSSION: Community event based surveillance generated consistent surveillance information during periods of no- to low-levels of transmission across districts. We interpret this to mean that community health monitors are an

  2. Approaches to the Surveillance of Foodborne Disease: A Review of the Evidence.

    PubMed

    Ford, Laura; Miller, Megge; Cawthorne, Amy; Fearnley, Emily; Kirk, Martyn

    2015-12-01

    Foodborne disease surveillance aims to reduce the burden of illness due to contaminated food. There are several different types of surveillance systems, including event-based surveillance, indicator-based surveillance, and integrated food chain surveillance. These approaches are not mutually exclusive, have overlapping data sources, require distinct capacities and resources, and can be considered a hierarchy, with each level being more complex and resulting in a greater ability to detect and control foodborne disease. Event-based surveillance is generally the least resource-intensive system and makes use of informal data sources. Indicator-based surveillance is seen as traditional notifiable disease surveillance and consists of routinely collected data. Integrated food chain surveillance is viewed as the optimal practice for conducting continuous risk analysis for foodborne diseases, but also requires significant ongoing resources and greater multisectoral collaboration compared to the other systems. Each country must determine the most appropriate structure for their surveillance system for foodborne diseases based on their available resources. This review explores the evidence on the principles, minimum capabilities, and minimum requirements of each type of surveillance and discusses examples from a range of countries. This review forms the evidence base for the Strengthening the Surveillance and Response for Foodborne Diseases: A Practical Manual.

  3. Local collaborations: development and implementation of Boston's bioterrorism surveillance system.

    PubMed

    McKenna, Verna B; Gunn, Julia E; Auerbach, John; Brinsfield, Kathryn H; Dyer, K Sophia; Barry, M Anita

    2003-01-01

    The Boston Public Health Commission developed and implemented an active surveillance system for bioterrorism and other infectious disease emergencies. A bioterrorism Surveillance Task Force was formed with representatives from local emergency medicine, infection control, infectious diseases, public health, and emergency medical services. These local agencies worked together to develop a reliable, easy to use electronic surveillance system. Collaboration at the local level and building on existing relationships is a key component of this system. Effective follow-up systems and technology back-up plans are essential. Improved communication networks and increased bioterrorism education for clinicians and the general public have also been achieved.

  4. The KIzSS network, a sentinel surveillance system for infectious diseases in day care centers: study protocol.

    PubMed

    Enserink, Remko; Noel, Harold; Friesema, Ingrid H M; de Jager, Carolien M; Kooistra-Smid, Anna M D; Kortbeek, Laetitia M; Duizer, Erwin; van der Sande, Marianne A B; Smit, Henriette A; Pelt, Wilfrid van

    2012-10-15

    Day care-associated infectious diseases are widely recognized as a public health problem but rarely studied. Insights into their dynamics and their association with the day care setting are important for effective decision making in management of infectious disease control. This paper describes the purpose, design and potential of our national multi-center, day care-based sentinel surveillance network for infectious diseases (the KIzSS network). The aim of the KIzSS network is to acquire a long-term insight into the syndromic and microbiological aspects of day care-related infectious diseases and associated disease burden and to model these aspects with day care setting characteristics. The KIzSS network applies a prospective cohort design, following day care centers rather than individual children or staff members over time. Data on infectious disease symptoms and related morbidity (children and staff), medical consumption, absenteeism and circulating enteric pathogens (children) are collected on a daily, weekly or monthly basis. Every two years, a survey is performed to assess the characteristics of participating day care centers. The KIzSS network offers a unique potential to study infectious disease dynamics in the day care setting over a sustained period of time. The created (bio)databases will help us to assess day care-related disease burden of infectious diseases among attending children and staff and their relation with the day care setting. This will support the much needed development of evidence-based and pragmatic guidelines for infectious disease control in day care centers.

  5. The KIzSS network, a sentinel surveillance system for infectious diseases in day care centers: study protocol

    PubMed Central

    2012-01-01

    Background Day care-associated infectious diseases are widely recognized as a public health problem but rarely studied. Insights into their dynamics and their association with the day care setting are important for effective decision making in management of infectious disease control. This paper describes the purpose, design and potential of our national multi-center, day care-based sentinel surveillance network for infectious diseases (the KIzSS network). The aim of the KIzSS network is to acquire a long-term insight into the syndromic and microbiological aspects of day care-related infectious diseases and associated disease burden and to model these aspects with day care setting characteristics. Methods/design The KIzSS network applies a prospective cohort design, following day care centers rather than individual children or staff members over time. Data on infectious disease symptoms and related morbidity (children and staff), medical consumption, absenteeism and circulating enteric pathogens (children) are collected on a daily, weekly or monthly basis. Every two years, a survey is performed to assess the characteristics of participating day care centers. Discussion The KIzSS network offers a unique potential to study infectious disease dynamics in the day care setting over a sustained period of time. The created (bio)databases will help us to assess day care-related disease burden of infectious diseases among attending children and staff and their relation with the day care setting. This will support the much needed development of evidence-based and pragmatic guidelines for infectious disease control in day care centers. PMID:23066727

  6. Survey of Clostridium difficile infection surveillance systems in Europe, 2011.

    PubMed

    Kola, Axel; Wiuff, Camilla; Akerlund, Thomas; van Benthem, Birgit H; Coignard, Bruno; Lyytikäinen, Outi; Weitzel-Kage, Doris; Suetens, Carl; Wilcox, Mark H; Kuijper, Ed J; Gastmeier, Petra

    2016-07-21

    To develop a European surveillance protocol for Clostridium difficile infection (CDI), existing national CDI surveillance systems were assessed in 2011. A web-based electronic form was provided for all national coordinators of the European CDI Surveillance Network (ECDIS-Net). Of 35 national coordinators approached, 33 from 31 European countries replied. Surveillance of CDI was in place in 14 of the 31 countries, comprising 18 different nationwide systems. Three of 14 countries with CDI surveillance used public health notification of cases as the route of reporting, and in another three, reporting was limited to public health notification of cases of severe CDI. The CDI definitions published by the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) and the European Centre for Disease Prevention and Control (ECDC) were widely used, but there were differing definitions to distinguish between community- and healthcare-associated cases. All CDI surveillance systems except one reported annual national CDI rates (calculated as number of cases per patient-days). Only four surveillance systems regularly integrated microbiological data (typing and susceptibility testing results). Surveillance methods varied considerably between countries, which emphasises the need for a harmonised European protocol to allow consistent monitoring of the CDI epidemiology at European level. The results of this survey were used to develop a harmonised EU-wide hospital-based CDI surveillance protocol. This article is copyright of The Authors, 2016.

  7. Paediatric Active Enhanced Disease Surveillance inaugural annual report, 2014.

    PubMed

    Zurynski, Yvonne A; McRae, Jocelynne E; Quinn, Helen E; Wood, Nicholas J; Macartney, Kristine K

    2016-09-30

    The Paediatric Active Enhanced Disease Surveillance (PAEDS) network is a hospital-based active surveillance system employing prospective case ascertainment of selected uncommon vaccine preventable diseases and potential adverse events following immunisation (AEFI). PAEDS enhances other Australian surveillance systems by providing prospective detailed clinical and laboratory data for the same child. Specialist surveillance nurses screen hospital admissions, emergency department records, laboratory and other data, to prospectively identify hospitalised children aged under 15 years in 5 paediatric tertiary referral hospitals in New South Wales, Victoria, South Australia, Western Australia and Queensland. Standardised protocols and case definitions are used across all sites. Conditions under surveillance include vaccine preventable diseases: acute flaccid paralysis, varicella, pandemic and seasonal influenza and pertussis, and potential AEFIs: febrile seizures and intussusception. PAEDS also conducts surveillance for acute childhood encephalitis. Since August 2007, PAEDS has recruited a total of 6,227 hospitalised cases in total, for all conditions. From January to December 2014, there were 1,220 cases recruited across all conditions. Key outcomes include: enhanced acute flaccid paralysis surveillance to reach World Health Organization targets; supporting varicella and influenza vaccination in children; confirmation of a known low risk of febrile seizures following the 1st dose of measles-mumps-rubella vaccine but no increased risk of febrile seizures after measles-mumps-rubella-varicella vaccine, and a slightly increased risk of developing intussusception 1-7 days after rotavirus vaccination in infants aged less than 3 months. Acute childhood encephalitis data facilitated rapid investigation and response to the enterovirus 71 outbreak in 2013-2014. PAEDS provides unique policy-relevant data. This is the first of planned PAEDS annual reports to Communicable Diseases

  8. World Health Organization and disease surveillance: Jeopardizing global public health?

    PubMed

    Blouin Genest, Gabriel

    2015-11-01

    Health issues now evolve in a global context. Real-time global surveillance, global disease mapping and global risk management characterize what have been termed 'global public health'. It has generated many programmes and policies, notably through the work of the World Health Organization. This globalized form of public health raises, however, some important issues left unchallenged, including its effectiveness, objectivity and legitimacy. The general objective of this article is to underline the impacts of WHO disease surveillance on the practice and theorization of global public health. By using the surveillance structure established by the World Health Organization and reinforced by the 2005 International Health Regulations as a case study, we argue that the policing of 'circulating risks' emerged as a dramatic paradox for global public health policy. This situation severely affects the rationale of health interventions as well as the lives of millions around the world, while travestying the meaning of health, disease and risks. To do so, we use health surveillance data collected by the WHO Disease Outbreak News System in order to map the impacts of global health surveillance on health policy rationale and theory. © The Author(s) 2014.

  9. Advances in surveillance of periodontitis: the Centers for Disease Control and Prevention periodontal disease surveillance project.

    PubMed

    Eke, Paul I; Thornton-Evans, Gina; Dye, Bruce; Genco, Robert

    2012-11-01

    The Centers for Disease Control and Prevention (CDC) has as one of its strategic goals to support and improve surveillance of periodontal disease. In 2003, the CDC initiated the CDC Periodontal Disease Surveillance Project in collaboration with the American Academy of Periodontology to address population-based surveillance of periodontal disease at the local, state, and national levels. This initiative has made significant advancements toward the goal of improved surveillance, including developing valid self-reported measures that can be obtained from interview-based surveys to predict prevalence of periodontitis in populations. This will allow surveillance of periodontitis at the state and local levels and in countries where clinical resources for surveillance are scarce. This work has produced standard case definitions for surveillance of periodontitis that are now widely recognized and applied in population studies and research. At the national level, this initiative has evaluated the validity of previous clinical examination protocols and tested new protocols on the National Health and Nutrition Examination Survey (NHANES), recommending and supporting funding for the gold-standard full-mouth periodontal examination in NHANES 2009 to 2012. These examinations will generate accurate estimates of the prevalence of periodontitis in the US adult population and provide a superior dataset for surveillance and research. Also, this data will be used to generate the necessary coefficients for our self-report questions for use in subsets of the total US population. The impact of these findings on population-based surveillance of periodontitis and future directions of the project are discussed along with plans for dissemination and translation efforts for broader public health use.

  10. Battlefield Optical Surveillance System (BOSS)

    NASA Astrophysics Data System (ADS)

    Ireland, Robert J.

    1997-02-01

    The battlefield optical surveillance system (BOSS) was developed for DARPA by the U.S. Air Force's Phillips Laboratory. BOSS is a HMMWV mounted laser surveillance and deterrence system. It is intended to be used to detect and to deter potentially hostile individuals, snipers and groups of agitators. The BOSS integrates the following: (1) a thermal camera (8-12 micrometer FLIR), that detects and cues to possible targets, (2) a 45 watt, 808 nm (near IR), air- cooled laser which provides covert illumination and designation for a day/night camera to acquire said target and attain a high-resolution image using night vision equipment, and (3) a 1 watt, 532 nm (green) laser that overtly illuminates and designates the target. It also has significant deterring effects both physiological and psychological on individuals and crowds. BOSS offers the potential capability to detect snipers before the first shot is fired. Detection of optical augmentations and the thermal characteristics of a sniper allows for this early detection. The integration of BOSS with acoustic sniper detection systems are being explored.

  11. Introducing a model for communicable diseases surveillance: cell phone surveillance (CPS).

    PubMed

    Safaie, Afshin; Mousavi, Seyed Mohsen; LaPorte, Ronald E; Goya, Mohammad Mehdi; Zahraie, Mohsen

    2006-01-01

    Surveillance systems for communicable diseases are primarily passive in most countries, including Iran. Laboratory-based surveillance and use of cell phone surveillance may be a useful method. We established a new model for gathering data directly from district laboratories to regional laboratories and from them to national manager of public health laboratories by using cell phone. We assessed the coverage of Mobile and Cell phone in the laboratory Technicians, and Directors of Public Health in 27 universities in Iran by a simple data collection form to evaluate the feasibility of this method. And then this method was piloted for the last Cholera outbreak in Iran in 2005. From data of 27 universities with 184 cities, we gathered 769 data health directors' mobile, total mobile penetrating rate, SMS users, and SMS penetrating rate was 57.9%, 77.1%, and 44.6% between Directors in Medical Universities of Iran and 54.5%, 54.9% and 29.9% in Directors of Laboratory. In the Cholera epidemic in Iran in summer 2005, CDC of MOH registered near 900 cases of cholera from 70000 rectal soap's exam in whole of country. The median reporting interval was under one day. Although the advent of the cell phone will probably change the way in which surveillance is delivered by health system, further studies are warranted to evaluate this method for laboratory based surveillance of lethal infections.

  12. Urban and Rural Differences of Acute Cardiovascular Disease Events: A Study from the Population-Based Real-Time Surveillance System in Zhejiang, China in 2012.

    PubMed

    Gong, Weiwei; Wei, Xiaolin; Liang, Yujia; Zou, Guanyang; Hu, Ruying; Deng, Simin; Zhang, Zhitong; Pan, Jing; Choi, Bernard C K; Yu, Min

    2016-01-01

    Zhejiang province, China, has implemented a population based, real-time surveillance system that tracks acute cardiovascular diseases (CVDs) events since 2001. This study aimed to describe the system and report CVD incidence, mortality and case-fatality between urban and rural areas in Zhejiang in 2012. The surveillance system employs a stratified random sampling method covering all permanent residents of 30 counties/districts in Zhejiang. Acute CVD events such as coronary heart disease (CHD) and stroke were defined, registered and reviewed based on the adapted MONICA (Monitoring Trends and Determinants in Cardiovascular Disease) definitions. Data were collected from health facilities, vital registries, supplementary surveys, and additional investigations, and were checked for data quality before input in the system. We calculated the rates and compared them by gender, age and region. In 2012, the incidence, mortality and case-fatality of total acute CVD events were 367.0 (CHD 59.1, stroke 307.9), 127.1 (CHD 43.3, stroke 83.8) per 100,000 and 34.6% (CHD 73.2%, stroke 27.2%), respectively. Compared with rural areas, urban areas reported higher incidence and mortality but lower case-fatality rates for CHD (P<0.001), while lower incidence but higher mortality and case-fatality rates for stroke (P<0.001). We found significant differences on CHD and stroke epidemics between urban and rural areas in Zhejiang. Special attentions need to be given to stroke control, especially in rural areas.

  13. Unified messaging solution for biosurveillance and disease surveillance.

    PubMed

    Abellera, John P; Srinivasan, Arunkumar; Danos, C Scott; McNabb, Scott; Rhodes, Barry

    2007-10-11

    Biosurveillance and disease surveillance systems serve different purposes. However, the richness and quality of an existing data stream and infrastructure used in biosurveillance may prove beneficial for any state-based electronic disease surveillance system, especially if an electronic laboratory data feed does not exist between a hospital and state-based system. The use of an Enterprise Application Integration(EAI) engine, such as the BioSense Integrator,will be necessary to map heterogeneous messages into standard representations, then validate and route them [1] to a disparate system. This poster illustrates the use of an existing BioSense Integrator in order to create a unified message to support the exchange of electronic lab messages necessary for reportable disease notification. An evaluation of the infrastructure for data messaging will be examined and presented, along with a cost and benefit analysis between hospital and state-based system.

  14. Mobile technologies for disease surveillance in humans and animals.

    PubMed

    Mwabukusi, Mpoki; Karimuribo, Esron D; Rweyemamu, Mark M; Beda, Eric

    2014-04-23

    A paper-based disease reporting system has been associated with a number of challenges. These include difficulties to submit hard copies of the disease surveillance forms because of poor road infrastructure, weather conditions or challenging terrain, particularly in the developing countries. The system demands re-entry of the data at data processing and analysis points, thus making it prone to introduction of errors during this process. All these challenges contribute to delayed acquisition, processing and response to disease events occurring in remote hard to reach areas. Our study piloted the use of mobile phones in order to transmit near to real-time data from remote districts in Tanzania (Ngorongoro and Ngara), Burundi (Muyinga) and Zambia (Kazungula and Sesheke). Two technologies namely, digital and short messaging services were used to capture and transmit disease event data in the animal and human health sectors in the study areas based on a server-client model. Smart phones running the Android operating system (minimum required version: Android 1.6), and which supported open source application, Epicollect, as well as the Open Data Kit application, were used in the study. These phones allowed collection of geo-tagged data, with the opportunity of including static and moving images related to disease events. The project supported routine disease surveillance systems in the ministries responsible for animal and human health in Burundi, Tanzania and Zambia, as well as data collection for researchers at the Sokoine University of Agriculture, Tanzania. During the project implementation period between 2011 and 2013, a total number of 1651 diseases event-related forms were submitted, which allowed reporters to include GPS coordinates and photographs related to the events captured. It was concluded that the new technology-based surveillance system is useful in providing near to real-time data, with potential for enhancing timely response in rural remote areas of

  15. Using internet search queries for infectious disease surveillance: screening diseases for suitability.

    PubMed

    Milinovich, Gabriel J; Avril, Simon M R; Clements, Archie C A; Brownstein, John S; Tong, Shilu; Hu, Wenbiao

    2014-12-31

    Internet-based surveillance systems provide a novel approach to monitoring infectious diseases. Surveillance systems built on internet data are economically, logistically and epidemiologically appealing and have shown significant promise. The potential for these systems has increased with increased internet availability and shifts in health-related information seeking behaviour. This approach to monitoring infectious diseases has, however, only been applied to single or small groups of select diseases. This study aims to systematically investigate the potential for developing surveillance and early warning systems using internet search data, for a wide range of infectious diseases. Official notifications for 64 infectious diseases in Australia were downloaded and correlated with frequencies for 164 internet search terms for the period 2009-13 using Spearman's rank correlations. Time series cross correlations were performed to assess the potential for search terms to be used in construction of early warning systems. Notifications for 17 infectious diseases (26.6%) were found to be significantly correlated with a selected search term. The use of internet metrics as a means of surveillance has not previously been described for 12 (70.6%) of these diseases. The majority of diseases identified were vaccine-preventable, vector-borne or sexually transmissible; cross correlations, however, indicated that vector-borne and vaccine preventable diseases are best suited for development of early warning systems. The findings of this study suggest that internet-based surveillance systems have broader applicability to monitoring infectious diseases than has previously been recognised. Furthermore, internet-based surveillance systems have a potential role in forecasting emerging infectious disease events, especially for vaccine-preventable and vector-borne diseases.

  16. An integrated framework for the geographic surveillance of chronic disease

    PubMed Central

    2009-01-01

    Background Geographic public health surveillance is concerned with describing and disseminating geographic information about disease and other measures of health to policy makers and the public. While methodological developments in the geographical analysis of disease are numerous, few have been integrated into a framework that also considers the effects of case ascertainment bias on the effectiveness of chronic disease surveillance. Results We present a framework for the geographic surveillance of chronic disease that integrates methodological developments in the spatial statistical analysis and case ascertainment. The framework uses an hierarchical approach to organize and model health information derived from an administrative health data system, and importantly, supports the detection and analysis of case ascertainment bias in geographic data. We test the framework on asthmatic data from Alberta, Canada. We observe high prevalence in south-western Alberta, particularly among Aboriginal females. We also observe that persons likely mistaken for asthmatics tend to be distributed in a pattern similar to asthmatics, suggesting that there may be an underlying social vulnerability to a variety of respiratory illnesses, or the presence of a diagnostic practice style effect. Finally, we note that clustering of asthmatics tends to occur at small geographic scales, while clustering of persons mistaken for asthmatics tends to occur at larger geographic scales. Conclusion Routine and ongoing geographic surveillance of chronic diseases is critical to developing an understanding of underlying epidemiology, and is critical to informing policy makers and the public about the health of the population. PMID:19948046

  17. What is the utility of using syndromic surveillance systems during large subnational infectious gastrointestinal disease outbreaks? An observational study using case studies from the past 5 years in England.

    PubMed

    Todkill, D; Elliot, A J; Morbey, R; Harris, J; Hawker, J; Edeghere, O; Smith, G E

    2016-08-01

    Syndromic surveillance systems in England have demonstrated utility in the early identification of seasonal gastrointestinal illness (GI) tracking its spatio-temporal distribution and enabling early public health action. There would be additional public health utility if syndromic surveillance systems could detect or track subnational infectious disease outbreaks. To investigate using syndromic surveillance for this purpose we retrospectively identified eight large GI outbreaks between 2009 and 2014 (four randomly and four purposively sampled). We then examined syndromic surveillance information prospectively collected by the Real-time Syndromic Surveillance team within Public Health England for evidence of possible outbreak-related changes. None of the outbreaks were identified contemporaneously and no alerts were made to relevant public health teams. Retrospectively, two of the outbreaks - which happened at similar times and in proximal geographical locations - demonstrated changes in the local trends of relevant syndromic indicators and exhibited a clustering of statistical alarms, but did not warrant alerting local health protection teams. Our suite of syndromic surveillance systems may be more suited to their original purposes than as means of detecting or monitoring localized, subnational GI outbreaks. This should, however, be considered in the context of this study's limitations; further prospective work is needed to fully explore the use of syndromic surveillance for this purpose. Provided geographical coverage is sufficient, syndromic surveillance systems could be able to provide reassurance of no or minor excess healthcare systems usage during localized GI incidents.

  18. State-level Zoonotic Disease Surveillance in the United States

    PubMed Central

    Scotch, Matthew; Rabinowitz, Peter; Brandt, Cynthia

    2011-01-01

    Summary Most emerging infectious diseases are zoonotic, yet recent commissions have highlighted deficiencies in their surveillance. We conducted a survey to understand the needs of state agencies for zoonotic disease surveillance. The findings will hopefully support the development of biomedical informatics applications that can link animal and human data for surveillance. PMID:21824354

  19. Mobile phone-based syndromic surveillance system, Papua New Guinea.

    PubMed

    Rosewell, Alexander; Ropa, Berry; Randall, Heather; Dagina, Rosheila; Hurim, Samuel; Bieb, Sibauk; Datta, Siddhartha; Ramamurthy, Sundar; Mola, Glen; Zwi, Anthony B; Ray, Pradeep; MacIntyre, C Raina

    2013-11-01

    The health care system in Papua New Guinea is fragile, and surveillance systems infrequently meet international standards. To strengthen outbreak identification, health authorities piloted a mobile phone-based syndromic surveillance system and used established frameworks to evaluate whether the system was meeting objectives. Stakeholder experience was investigated by using standardized questionnaires and focus groups. Nine sites reported data that included 7 outbreaks and 92 cases of acute watery diarrhea. The new system was more timely (2.4 vs. 84 days), complete (70% vs. 40%), and sensitive (95% vs. 26%) than existing systems. The system was simple, stable, useful, and acceptable; however, feedback and subnational involvement were weak. A simple syndromic surveillance system implemented in a fragile state enabled more timely, complete, and sensitive data reporting for disease risk assessment. Feedback and provincial involvement require improvement. Use of mobile phone technology might improve the timeliness and efficiency of public health surveillance.

  20. Towards effective emerging infectious disease surveillance.

    PubMed

    Ear, Sophal

    2014-01-01

    In this plenary talk given at the annual meeting of the Association for Politics and the Life Sciences at Texas Tech University last October, Professor Sophal Ear, then of the U.S. Naval Postgraduate School in Monterey, discussed his research on the political economy of emerging infectious disease (EID) surveillance programs. His talk reviews lessons learned for U.S. military medical research laboratories collaborating with developing countries and is comprised of three case studies: Cambodia (U.S. Naval Area Medical Research Unit 2 or NAMRU-2), Indonesia (also NAMRU-2 in the context of H5N1 or Highly Pathogenic Avian Influenza), (1) and Mexico (that country's handling of A/H1N1 or Swine Flu in 2009). (2) Professor Ear's research provides policymakers with tools for improving the effectiveness of new or existing EID surveillance programs. His work also offers host countries the opportunity to incorporate ideas, provide opinions, and debate the management of political and economic constraints facing their programs. In this analysis, constraints are found for each case study and general recommendations are given for improving global emerging infectious disease surveillance across political, economic, and cultural dimensions.

  1. Attitudes toward mental illness in adults by mental illness-related factors and chronic disease status: 2007 and 2009 Behavioral Risk Factor Surveillance System.

    PubMed

    Kobau, Rosemarie; Zack, Matthew M

    2013-11-01

    We examined how attitudes toward mental illness treatment and its course differ by serious psychological distress, mental illness treatment, chronic disease, and sociodemographic factors using representative state-based data. Using data from jurisdictions supporting the Behavioral Risk Factor Surveillance System's Mental Illness and Stigma Module (35 states, the District of Columbia, and Puerto Rico), we compared adjusted proportions of adults agreeing that "Treatment can help people with mental illness lead normal lives" (treatment effectiveness) and that "People are generally caring and sympathetic to people with mental illness" (supportive environment), by demographic characteristics, serious psychological distress, chronic disease status, and mental illness treatment. Attitudes regarding treatment effectiveness and a supportive environment for people with mental illness varied within and between groups. Most adults receiving mental illness treatment agreed that treatment is effective. Fewer adults with serious psychological distress than those without such distress agreed that treatment is effective. Fewer of those receiving treatment, those with psychological distress, and those with chronic disease perceived the environment as supportive. These data can be used to target interventions for population subgroups with less favorable attitudes and for surveillance.

  2. Sleep duration and chronic diseases among U.S. adults age 45 years and older: evidence from the 2010 Behavioral Risk Factor Surveillance System.

    PubMed

    Liu, Yong; Wheaton, Anne G; Chapman, Daniel P; Croft, Janet B

    2013-10-01

    To examine the effects of obesity and frequent mental distress (FMD) on the relationship of sleep duration with coronary heart disease (CHD), stroke, and diabetes. Cross-sectional study. Population-based surveillance. There were 54,269 adults age 45 y or older who completed the 2010 Behavioral Risk Factor Surveillance System survey in 14 states. Nearly one third (31.1% or an estimated 11.1 million) of respondents age 45 y and older reported being short sleepers (≤ 6 h), 64.8% being optimal sleepers (7-9 h), and 4.1% being long sleepers (≥ 10 h) in a 24-h period. Compared with the optimal sleep duration, both short and long sleep durations were significantly associated with obesity, FMD (mental health was not good ≥ 14 days during the past 30 days), CHD, stroke, and diabetes after controlling for sex, age, race/ethnicity, and education. The U-shaped relationships of sleep duration with CHD, stroke, and diabetes were moderately attenuated by FMD. The relationship between sleep duration and diabetes was slightly attenuated by obesity. Sleep duration had U-shaped relationships with leading chronic diseases. Further prospective studies are needed to determine how mental health and maintenance of a normal weight may interact with sleep duration to prevent chronic diseases.

  3. Audits and surveillance: A functional quality surveillance system

    SciTech Connect

    Smart, R.J.; Duda, J.E.

    1987-03-01

    The implementation of a quality surveillance program can be painless and productive. The system described in this report has been in use at the Fast Flux Test Facility (FFTF) for more than a year and effectively fills the void between audits and inspections. Recognized benefits of this system include: minimum administrative overhead; excellent management overview; ease of implementing trending efforts; audit supplement; fully computerization; lower cost than traditional methods; early problem detection, adaptability to other projects and facilities.

  4. Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites.

    PubMed

    Kim Streatfield, P; Khan, Wasif A; Bhuiya, Abbas; Hanifi, Syed M A; Alam, Nurul; Bagagnan, Cheik H; Sié, Ali; Zabré, Pascal; Lankoandé, Bruno; Rossier, Clementine; Soura, Abdramane B; Bonfoh, Bassirou; Kone, Siaka; Ngoran, Eliezer K; Utzinger, Juerg; Haile, Fisaha; Melaku, Yohannes A; Weldearegawi, Berhe; Gomez, Pierre; Jasseh, Momodou; Ansah, Patrick; Debpuur, Cornelius; Oduro, Abraham; Wak, George; Adjei, Alexander; Gyapong, Margaret; Sarpong, Doris; Kant, Shashi; Misra, Puneet; Rai, Sanjay K; Juvekar, Sanjay; Lele, Pallavi; Bauni, Evasius; Mochamah, George; Ndila, Carolyne; Williams, Thomas N; Laserson, Kayla F; Nyaguara, Amek; Odhiambo, Frank O; Phillips-Howard, Penelope; Ezeh, Alex; Kyobutungi, Catherine; Oti, Samuel; Crampin, Amelia; Nyirenda, Moffat; Price, Alison; Delaunay, Valérie; Diallo, Aldiouma; Douillot, Laetitia; Sokhna, Cheikh; Xavier Gómez-Olivé, F; Kahn, Kathleen; Tollman, Stephen M; Herbst, Kobus; Mossong, Joël; Chuc, Nguyen T K; Bangha, Martin; Sankoh, Osman A; Byass, Peter

    2014-12-01

    Background Mortality from non-communicable diseases (NCDs) is a major global issue, as other categories of mortality have diminished and life expectancy has increased. The World Health Organization's Member States have called for a 25% reduction in premature NCD mortality by 2025, which can only be achieved by substantial reductions in risk factors and improvements in the management of chronic conditions. A high burden of NCD mortality among much older people, who have survived other hazards, is inevitable. The INDEPTH Network collects detailed individual data within defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. Objective To describe patterns of adult NCD mortality from INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories, with separate consideration of premature (15-64 years) and older (65+ years) NCD mortality. Design All adult deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates. Results A total of 80,726 adult (over 15 years) deaths were documented over 7,423,497 person-years of observation. NCDs were attributed as the cause for 35.6% of these deaths. Slightly less than half of adult NCD deaths occurred in the 15-64 age group. Detailed results are presented by age and sex for leading causes of NCD mortality. Per-site rates of NCD mortality were significantly correlated with rates of HIV/AIDS-related mortality. Conclusions These findings present important evidence on the distribution of NCD mortality across a

  5. Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites.

    PubMed

    Streatfield, P Kim; Khan, Wasif A; Bhuiya, Abbas; Hanifi, Syed M A; Alam, Nurul; Bagagnan, Cheik H; Sié, Ali; Zabré, Pascal; Lankoandé, Bruno; Rossier, Clementine; Soura, Abdramane B; Bonfoh, Bassirou; Kone, Siaka; Ngoran, Eliezer K; Utzinger, Juerg; Haile, Fisaha; Melaku, Yohannes A; Weldearegawi, Berhe; Gomez, Pierre; Jasseh, Momodou; Ansah, Patrick; Debpuur, Cornelius; Oduro, Abraham; Wak, George; Adjei, Alexander; Gyapong, Margaret; Sarpong, Doris; Kant, Shashi; Misra, Puneet; Rai, Sanjay K; Juvekar, Sanjay; Lele, Pallavi; Bauni, Evasius; Mochamah, George; Ndila, Carolyne; Williams, Thomas N; Laserson, Kayla F; Nyaguara, Amek; Odhiambo, Frank O; Phillips-Howard, Penelope; Ezeh, Alex; Kyobutungi, Catherine; Oti, Samuel; Crampin, Amelia; Nyirenda, Moffat; Price, Alison; Delaunay, Valérie; Diallo, Aldiouma; Douillot, Laetitia; Sokhna, Cheikh; Gómez-Olivé, F Xavier; Kahn, Kathleen; Tollman, Stephen M; Herbst, Kobus; Mossong, Joël; Chuc, Nguyen T K; Bangha, Martin; Sankoh, Osman A; Byass, Peter

    2014-01-01

    Mortality from non-communicable diseases (NCDs) is a major global issue, as other categories of mortality have diminished and life expectancy has increased. The World Health Organization's Member States have called for a 25% reduction in premature NCD mortality by 2025, which can only be achieved by substantial reductions in risk factors and improvements in the management of chronic conditions. A high burden of NCD mortality among much older people, who have survived other hazards, is inevitable. The INDEPTH Network collects detailed individual data within defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. To describe patterns of adult NCD mortality from INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories, with separate consideration of premature (15-64 years) and older (65+ years) NCD mortality. All adult deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates. A total of 80,726 adult (over 15 years) deaths were documented over 7,423,497 person-years of observation. NCDs were attributed as the cause for 35.6% of these deaths. Slightly less than half of adult NCD deaths occurred in the 15-64 age group. Detailed results are presented by age and sex for leading causes of NCD mortality. Per-site rates of NCD mortality were significantly correlated with rates of HIV/AIDS-related mortality. These findings present important evidence on the distribution of NCD mortality across a wide range of African and Asian settings. This

  6. Adult non-communicable disease mortality in Africa and Asia: evidence from INDEPTH Health and Demographic Surveillance System sites

    PubMed Central

    Streatfield, P. Kim; Khan, Wasif A.; Bhuiya, Abbas; Hanifi, Syed M.A.; Alam, Nurul; Bagagnan, Cheik H.; Sié, Ali; Zabré, Pascal; Lankoandé, Bruno; Rossier, Clementine; Soura, Abdramane B.; Bonfoh, Bassirou; Kone, Siaka; Ngoran, Eliezer K.; Utzinger, Juerg; Haile, Fisaha; Melaku, Yohannes A.; Weldearegawi, Berhe; Gomez, Pierre; Jasseh, Momodou; Ansah, Patrick; Debpuur, Cornelius; Oduro, Abraham; Wak, George; Adjei, Alexander; Gyapong, Margaret; Sarpong, Doris; Kant, Shashi; Misra, Puneet; Rai, Sanjay K.; Juvekar, Sanjay; Lele, Pallavi; Bauni, Evasius; Mochamah, George; Ndila, Carolyne; Williams, Thomas N.; Laserson, Kayla F.; Nyaguara, Amek; Odhiambo, Frank O.; Phillips-Howard, Penelope; Ezeh, Alex; Kyobutungi, Catherine; Oti, Samuel; Crampin, Amelia; Nyirenda, Moffat; Price, Alison; Delaunay, Valérie; Diallo, Aldiouma; Douillot, Laetitia; Sokhna, Cheikh; Gómez-Olivé, F. Xavier; Kahn, Kathleen; Tollman, Stephen M.; Herbst, Kobus; Mossong, Joël; Chuc, Nguyen T.K.; Bangha, Martin; Sankoh, Osman A.; Byass, Peter

    2014-01-01

    Background Mortality from non-communicable diseases (NCDs) is a major global issue, as other categories of mortality have diminished and life expectancy has increased. The World Health Organization's Member States have called for a 25% reduction in premature NCD mortality by 2025, which can only be achieved by substantial reductions in risk factors and improvements in the management of chronic conditions. A high burden of NCD mortality among much older people, who have survived other hazards, is inevitable. The INDEPTH Network collects detailed individual data within defined Health and Demographic Surveillance sites. By registering deaths and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. Objective To describe patterns of adult NCD mortality from INDEPTH Network sites across Africa and Asia, according to the WHO 2012 verbal autopsy (VA) cause categories, with separate consideration of premature (15–64 years) and older (65+ years) NCD mortality. Design All adult deaths at INDEPTH sites are routinely registered and followed up with VA interviews. For this study, VA archives were transformed into the WHO 2012 VA standard format and processed using the InterVA-4 model to assign cause of death. Routine surveillance data also provide person-time denominators for mortality rates. Results A total of 80,726 adult (over 15 years) deaths were documented over 7,423,497 person-years of observation. NCDs were attributed as the cause for 35.6% of these deaths. Slightly less than half of adult NCD deaths occurred in the 15–64 age group. Detailed results are presented by age and sex for leading causes of NCD mortality. Per-site rates of NCD mortality were significantly correlated with rates of HIV/AIDS-related mortality. Conclusions These findings present important evidence on the distribution of NCD mortality

  7. Disease surveillance in England and Wales, January 2017.

    PubMed

    2017-02-11

    ▪ Current and emerging issues: respiratory disease in hobby and backyard chickens▪ Highlights from the scanning surveillance network▪ Update on international disease threats▪ Focus on alimentary and respiratory disease trends in calvesThese are among matters discussed in the Animal and Plant Health Agency's (APHA's) disease surveillance report for January 2017.

  8. Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems.

    PubMed

    Etyang, Anthony O; Munge, Kenneth; Bunyasi, Erick W; Matata, Lena; Ndila, Carolyne; Kapesa, Sailoki; Owiti, Maureen; Khandwalla, Iqbal; Brent, Andrew J; Tsofa, Benjamin; Kabibu, Pamela; Morpeth, Susan; Bauni, Evasius; Otiende, Mark; Ojal, John; Ayieko, Philip; Knoll, Maria D; Smeeth, Liam; Williams, Thomas N; Griffiths, Ulla K; Scott, J Anthony G

    2014-04-01

    Estimates of the burden of disease in adults in sub-Saharan Africa largely rely on models of sparse data. We aimed to measure the burden of disease in adults living in a rural area of coastal Kenya with use of linked clinical and demographic surveillance data. We used data from 18,712 adults admitted to Kilifi District Hospital (Kilifi, Kenya) between Jan 1, 2007, and Dec 31, 2012, linked to 790,635 person-years of observation within the Kilifi Health and Demographic Surveillance System, to establish the rates and major causes of admission to hospital. These data were also used to model disease-specific disability-adjusted life-years lost in the population. We used geographical mapping software to calculate admission rates stratified by distance from the hospital. The main causes of admission to hospital in women living within 5 km of the hospital were infectious and parasitic diseases (303 per 100,000 person-years of observation), pregnancy-related disorders (239 per 100,000 person-years of observation), and circulatory illnesses (105 per 100,000 person-years of observation). Leading causes of hospital admission in men living within 5 km of the hospital were infectious and parasitic diseases (169 per 100,000 person-years of observation), injuries (135 per 100,000 person-years of observation), and digestive system disorders (112 per 100,000 person-years of observation). HIV-related diseases were the leading cause of disability-adjusted life-years lost (2050 per 100,000 person-years of observation), followed by non-communicable diseases (741 per 100,000 person-years of observation). For every 5 km increase in distance from the hospital, all-cause admission rates decreased by 11% (95% CI 7–14) in men and 20% (17–23) in women. The magnitude of this decline was highest for endocrine disorders in women (35%; 95% CI 22–46) and neoplasms in men (30%; 9–45). Adults in rural Kenya face a combined burden of infectious diseases, pregnancy-related disorders

  9. Health & Demographic Surveillance System Profile: The Kombewa Health and Demographic Surveillance System (Kombewa HDSS)

    PubMed Central

    Sifuna, Peter; Oyugi, Mary; Ogutu, Bernhards; Andagalu, Ben; Otieno, Allan; Owira, Victorine; Otsyula, Nekoye; Oyieko, Janet; Cowden, Jessica; Otieno, Lucas; Otieno, Walter

    2014-01-01

    The Kombewa Health and Demographic Surveillance System (HDSS) grew out of the Kombewa Clinical Research Centre in 2007 and has since established itself as a platform for the conduct of regulated clinical trials, nested studies and local disease surveillance. The HDSS is located in a rural part of Kisumu County, Western Kenya, and covers an area of about 369 km2 along the north-eastern shores of Lake Victoria. A dynamic cohort of 141 956 individuals drawn from 34 718 households forms the HDSS surveillance population. Following a baseline survey in 2011, the HDSS continues to monitor key population changes through routine biannual household surveys. The intervening period between set-up and baseline census was used for preparatory work, in particular Global Positioning System (GPS) mapping. Routine surveys capture information on individual and households including residency, household relationships, births, deaths, migrations (in and out) and causes of morbidity (syndromic incidence and prevalence) as well as causes of death (verbal autopsy). The Kombewa HDSS platform is used to support health research activities, that is clinical trials and epidemiological studies evaluating diseases of public health importance including malaria, HIV and global emerging infectious diseases such as dengue fever. Formal data request and proposed collaborations can be submitted at Kombewadssdata@usamru-k.org. PMID:25009309

  10. Surveillance for Waterborne Disease Outbreaks Associated with Drinking Water United States, 2007-2008

    EPA Science Inventory

    Problem/Condition: Since 1971, the Centers for Disease Control and Prevention (CDC), the U.S. Environmental Protection Agency (EPA), and the Council of State and Territorial Epidemiologists have maintained a collaborative Waterborne Disease and Outbreak Surveillance System (WBDOS...

  11. Surveillance for Waterborne Disease Outbreaks Associated with Drinking Water United States, 2007-2008

    EPA Science Inventory

    Problem/Condition: Since 1971, the Centers for Disease Control and Prevention (CDC), the U.S. Environmental Protection Agency (EPA), and the Council of State and Territorial Epidemiologists have maintained a collaborative Waterborne Disease and Outbreak Surveillance System (WBDOS...

  12. Big Data for Infectious Disease Surveillance and Modeling.

    PubMed

    Bansal, Shweta; Chowell, Gerardo; Simonsen, Lone; Vespignani, Alessandro; Viboud, Cécile

    2016-12-01

    We devote a special issue of the Journal of Infectious Diseases to review the recent advances of big data in strengthening disease surveillance, monitoring medical adverse events, informing transmission models, and tracking patient sentiments and mobility. We consider a broad definition of big data for public health, one encompassing patient information gathered from high-volume electronic health records and participatory surveillance systems, as well as mining of digital traces such as social media, Internet searches, and cell-phone logs. We introduce nine independent contributions to this special issue and highlight several cross-cutting areas that require further research, including representativeness, biases, volatility, and validation, and the need for robust statistical and hypotheses-driven analyses. Overall, we are optimistic that the big-data revolution will vastly improve the granularity and timeliness of available epidemiological information, with hybrid systems augmenting rather than supplanting traditional surveillance systems, and better prospects for accurate infectious diseases models and forecasts. Published by Oxford University Press for the Infectious Diseases Society of America 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  13. A Qualitative Study of State-level Zoonotic disease surveillance in New England

    PubMed Central

    Scotch, Matthew; Mattocks, Kristin; Rabinowitz, Peter; Brandt, Cynthia

    2013-01-01

    Summary Zoonotic diseases are infectious diseases transmittable between animals and humans and outbreaks of these diseases in animals can signify that humans are also infected (or vice-versa). Thus, communication between animal and human health agencies is critical for surveillance. Understanding how these agencies conduct surveillance and share information is important for development of successful automated zoonotic monitoring systems. Individual interviews were conducted with 13 professionals who perform animal or human zoonotic disease surveillance in one of the New England states. Questions centered on existing surveillance methods, collaborations between animal and human health agencies, and technological and data needs. The results showed that agencies routinely communicate over suspected zoonotic disease cases yet there are barriers preventing automated electronic linking of health data of animals and humans. These include technological barriers and barriers due sensitivity and confidentiality of information. Addressing these will facilitate development of electronic systems for integrating animal and human zoonotic disease surveillance data. PMID:20163575

  14. Outbreak of Legionnaires' disease on a cruise ship: lessons for international surveillance and control.

    PubMed

    Regan, C M; McCann, B; Syed, Q; Christie, P; Joseph, C; Colligan, J; McGaffin, A

    2003-06-01

    A sporadic case of Legionnaires' disease was linked to travel on a cruise ship. Investigation identified two further cases of Legionnaires' Disease and one case of non-pneumonic Legionella infection. An Incident Team confirmed the source to be the ship's water system and control measures were instituted that included pasteurisation, super chlorination and chlorine dioxide dosing. The Public Health Laboratory Service (PHLS) Communicable Disease Surveillance Centre (CDSC), through the European Surveillance Scheme for Travel Associated Legionnaires' Disease, identified three previous cases associated with the same ship's water system including one fatality. Lessons for the international surveillance and control of Legionnaires' disease on cruise ships are discussed.

  15. Rapid deployment of an electronic disease surveillance system in the state of Utah for the 2002 Olympic Winter Games.

    PubMed

    Gesteland, Per H; Wagner, Michael M; Chapman, Wendy W; Espino, Jeremy U; Tsui, Fu-Chiang; Gardner, Reed M; Rolfs, Robert T; Dato, Virginia; James, Brent C; Haug, Peter J

    2002-01-01

    The key to minimizing the effects of an intentionally caused disease outbreak is early detection of the attack and rapid identification of the affected individuals. The Bush administration's leadership in advocating for biosurveillance systems capable of monitoring for bioterrorism attacks suggests that we should move quickly to establish a nationwide early warning biosurveillance system as a defense against this threat. The spirit of collaboration and unity inspired by the events of 9-11 and the 2002 Olympic Winter Games in Salt Lake City provided the opportunity to demonstrate how a prototypic biosurveillance system could be rapidly deployed. In seven weeks we were able to implement an automated, real-time disease outbreak detection system in the State of Utah and monitored 80,684 acute care visits occurring during a 28-day period spanning the Olympics. No trends of immediate public health concern were identified.

  16. Review: Laboratory diagnosis and surveillance of Creutzfeldt-Jakob disease.

    PubMed

    Lee, Jeongmin; Hyeon, Jae Wook; Kim, Su Yeon; Hwang, Kyu-Jam; Ju, Young Ran; Ryou, Chongsuk

    2015-01-01

    Creutzfeldt-Jakob disease (CJD) is a representative human transmissible spongiform encephalopathy associated with central nervous system degeneration. Prions, the causative agents of CJD, are composed of misfolded prion proteins and are able to self-replicate. While CJD is a rare disease affecting only 1-1.5 people per million worldwide annually, it has attracted both scientific and public attention as a threatening disease since an epidemic of variant CJD (vCJD) cases appeared in the mid-1990s. Due to its unconventional transmission and invariable fatality, CJD poses a serious risk to public health. The hundreds of sporadic, genetic, and iatrogenic CJD cases as well as potential zoonotic transmission suggest that CJD is an ongoing concern for the field of medicine. Nevertheless, treatment aimed at clinical prevention and treatment that reverses the course of disease does not exist currently. Active surveillance and effective laboratory diagnosis of CJD are, therefore, critical. In this report, the surveillance systems and laboratory tests used currently to diagnose CJD in different countries are reviewed. The current efforts to improve surveillance and diagnosis for CJD using molecular and biochemical findings are also described.

  17. CDC Periodontal Disease Surveillance Project: background, objectives, and progress report.

    PubMed

    Eke, Paul I; Genco, Robert J

    2007-07-01

    This supplement contains papers presented at the 2006 International Association of Dental Research (IADR) symposium entitled "Development of Self-Reported Measures for Population-Based Surveillance of Periodontitis." These papers highlight activities of an independent periodontal disease surveillance workgroup convened by the Division of Oral Health (DOH), Centers for Disease Control and Prevention (CDC), in collaboration with the American Academy of Periodontology, to examine the feasibility of using self-reported measures for population-based surveillance of periodontal disease in the United States. This workgroup was convened in 2003 as part of a CDC periodontal disease surveillance project.

  18. Ultrasound surveillance for hepatocellular carcinoma: service evaluation of a radiology-led recall system in a tertiary-referral centre for liver diseases in the UK.

    PubMed

    Farrell, C; Halpen, A; Cross, T J S; Richardson, P D; Johnson, P; Joekes, E C

    2017-04-01

    To review the radiology-led ultrasound (US) surveillance programme for the detection of hepatocellular carcinoma (HCC) in cirrhotic patients in a UK tertiary-referral centre. The radiology information system was searched for patients who had undergone US for surveillance of cirrhosis from September 2009 to May 2013. Patient demographics and cirrhosis aetiology were documented. Data including numbers of surveillance scans, abnormal findings suspicious for HCC, subsequent radiological investigations, numbers of HCC and survival for HCC patients were recorded. Service performance data, such as rates of attendance and rebooking, were also recorded. Eight hundred and four patients entered surveillance and 2,366 surveillance US examinations were performed; 368 (46%) underwent follow-up (6-monthly US). Abnormalities leading to further radiological investigations were found in 81 patients. Reasons for incomplete surveillance included non-attendance and radiology failure to re-book appointments. HCC was diagnosed in 22 patients. Fourteen had HCC diagnosed on a surveillance scan, eight had HCC diagnosed on a scan performed for other reasons. Patients diagnosed with HCC on a surveillance scan were more likely to be treated with curative intent and had longer survival. Even with a radiology-led recall service for HCC surveillance, the proportion of patients receiving scans 6-monthly was low, due in part to the lack of organisational support that is available for other screening programmes. This study gives a realistic representation of the implementation of surveillance in a UK hospital at the current time and of the rates of HCC proceeding to treatment. Copyright © 2016. Published by Elsevier Ltd.

  19. Systematic review of surveillance systems and methods for early detection of exotic, new and re-emerging diseases in animal populations.

    PubMed

    Rodríguez-Prieto, V; Vicente-Rubiano, M; Sánchez-Matamoros, A; Rubio-Guerri, C; Melero, M; Martínez-López, B; Martínez-Avilés, M; Hoinville, L; Vergne, T; Comin, A; Schauer, B; Dórea, F; Pfeiffer, D U; Sánchez-Vizcaíno, J M

    2015-07-01

    In this globalized world, the spread of new, exotic and re-emerging diseases has become one of the most important threats to animal production and public health. This systematic review analyses conventional and novel early detection methods applied to surveillance. In all, 125 scientific documents were considered for this study. Exotic (n = 49) and re-emerging (n = 27) diseases constituted the most frequently represented health threats. In addition, the majority of studies were related to zoonoses (n = 66). The approaches found in the review could be divided in surveillance modalities, both active (n = 23) and passive (n = 5); and tools and methodologies that support surveillance activities (n = 57). Combinations of surveillance modalities and tools (n = 40) were also found. Risk-based approaches were very common (n = 60), especially in the papers describing tools and methodologies (n = 50). The main applications, benefits and limitations of each approach were extracted from the papers. This information will be very useful for informing the development of tools to facilitate the design of cost-effective surveillance strategies. Thus, the current literature review provides key information about the advantages, disadvantages, limitations and potential application of methodologies for the early detection of new, exotic and re-emerging diseases.

  20. A GIS-driven integrated real-time surveillance pilot system for national West Nile virus dead bird surveillance in Canada.

    PubMed

    Shuai, Jiangping; Buck, Peter; Sockett, Paul; Aramini, Jeff; Pollari, Frank

    2006-04-20

    An extensive West Nile virus surveillance program of dead birds, mosquitoes, horses, and human infection has been launched as a result of West Nile virus first being reported in Canada in 2001. Some desktop and web GIS have been applied to West Nile virus dead bird surveillance. There have been urgent needs for a comprehensive GIS services and real-time surveillance. A pilot system was developed to integrate real-time surveillance, real-time GIS, and Open GIS technology in order to enhance West Nile virus dead bird surveillance in Canada. Driven and linked by the newly developed real-time web GIS technology, this integrated real-time surveillance system includes conventional real-time web-based surveillance components, integrated real-time GIS components, and integrated Open GIS components. The pilot system identified the major GIS functions and capacities that may be important to public health surveillance. The six web GIS clients provide a wide range of GIS tools for public health surveillance. The pilot system has been serving Canadian national West Nile virus dead bird surveillance since 2005 and is adaptable to serve other disease surveillance. This pilot system has streamlined, enriched and enhanced national West Nile virus dead bird surveillance in Canada, improved productivity, and reduced operation cost. Its real-time GIS technology, static map technology, WMS integration, and its integration with non-GIS real-time surveillance system made this pilot system unique in surveillance and public health GIS.

  1. A GIS-driven integrated real-time surveillance pilot system for national West Nile virus dead bird surveillance in Canada

    PubMed Central

    Shuai, Jiangping; Buck, Peter; Sockett, Paul; Aramini, Jeff; Pollari, Frank

    2006-01-01

    Background An extensive West Nile virus surveillance program of dead birds, mosquitoes, horses, and human infection has been launched as a result of West Nile virus first being reported in Canada in 2001. Some desktop and web GIS have been applied to West Nile virus dead bird surveillance. There have been urgent needs for a comprehensive GIS services and real-time surveillance. Results A pilot system was developed to integrate real-time surveillance, real-time GIS, and Open GIS technology in order to enhance West Nile virus dead bird surveillance in Canada. Driven and linked by the newly developed real-time web GIS technology, this integrated real-time surveillance system includes conventional real-time web-based surveillance components, integrated real-time GIS components, and integrated Open GIS components. The pilot system identified the major GIS functions and capacities that may be important to public health surveillance. The six web GIS clients provide a wide range of GIS tools for public health surveillance. The pilot system has been serving Canadian national West Nile virus dead bird surveillance since 2005 and is adaptable to serve other disease surveillance. Conclusion This pilot system has streamlined, enriched and enhanced national West Nile virus dead bird surveillance in Canada, improved productivity, and reduced operation cost. Its real-time GIS technology, static map technology, WMS integration, and its integration with non-GIS real-time surveillance system made this pilot system unique in surveillance and public health GIS. PMID:16626490

  2. Disease surveillance in England and Wales, February 2017.

    PubMed

    2017-03-11

    ▪ Current and emerging issues: recrudescence of Schmallenberg virus in lambs and calves▪ Highlights from the scanning surveillance network▪ Update on international disease threats▪ Focus on ovine abortionsThese are among matters discussed in the Animal and Plant Health Agency's (APHA's) disease surveillance report for February 2017.

  3. Relevance of Indirect Transmission for Wildlife Disease Surveillance

    PubMed Central

    Lange, Martin; Kramer-Schadt, Stephanie; Thulke, Hans-Hermann

    2016-01-01

    Epidemiological models of infectious diseases are essential tools in support of risk assessment, surveillance design, and contingency planning in public and animal health. Direct pathogen transmission from host to host is an essential process of each host–pathogen system and respective epidemiological modeling concepts. It is widely accepted that numerous diseases involve indirect transmission (IT) through pathogens shed by infectious hosts to their environment. However, epidemiological models largely do not represent pathogen persistence outside the host explicitly. We hypothesize that this simplification might bias management-related model predictions for disease agents that can persist outside their host for a certain time span. We adapted an individual-based, spatially explicit epidemiological model that can mimic both transmission processes. One version explicitly simulated indirect pathogen transmission through a contaminated environment. The second version simulated direct host-to-host transmission only. We aligned the model variants by the transmission potential per infectious host (i.e., basic reproductive number R0) and the spatial transmission kernel of the infection to allow unbiased comparison of predictions. The quantitative model results are provided for the example of surveillance plans for early detection of foot-and-mouth disease in wild boar, a social host. We applied systematic sampling strategies on the serological status of randomly selected host individuals in both models. We compared between the model variants the time to detection and the area affected prior to detection, measures that strongly influence mitigation costs. Moreover, the ideal sampling strategy to detect the infection in a given time frame was compared between both models. We found the simplified, direct transmission model to underestimate necessary sample size by up to one order of magnitude but to overestimate the area put under control measures. Thus, the model

  4. Relevance of Indirect Transmission for Wildlife Disease Surveillance.

    PubMed

    Lange, Martin; Kramer-Schadt, Stephanie; Thulke, Hans-Hermann

    2016-01-01

    Epidemiological models of infectious diseases are essential tools in support of risk assessment, surveillance design, and contingency planning in public and animal health. Direct pathogen transmission from host to host is an essential process of each host-pathogen system and respective epidemiological modeling concepts. It is widely accepted that numerous diseases involve indirect transmission (IT) through pathogens shed by infectious hosts to their environment. However, epidemiological models largely do not represent pathogen persistence outside the host explicitly. We hypothesize that this simplification might bias management-related model predictions for disease agents that can persist outside their host for a certain time span. We adapted an individual-based, spatially explicit epidemiological model that can mimic both transmission processes. One version explicitly simulated indirect pathogen transmission through a contaminated environment. The second version simulated direct host-to-host transmission only. We aligned the model variants by the transmission potential per infectious host (i.e., basic reproductive number R0) and the spatial transmission kernel of the infection to allow unbiased comparison of predictions. The quantitative model results are provided for the example of surveillance plans for early detection of foot-and-mouth disease in wild boar, a social host. We applied systematic sampling strategies on the serological status of randomly selected host individuals in both models. We compared between the model variants the time to detection and the area affected prior to detection, measures that strongly influence mitigation costs. Moreover, the ideal sampling strategy to detect the infection in a given time frame was compared between both models. We found the simplified, direct transmission model to underestimate necessary sample size by up to one order of magnitude but to overestimate the area put under control measures. Thus, the model predictions

  5. Public health for the people: participatory infectious disease surveillance in the digital age

    PubMed Central

    2014-01-01

    The 21st century has seen the rise of Internet-based participatory surveillance systems for infectious diseases. These systems capture voluntarily submitted symptom data from the general public and can aggregate and communicate that data in near real-time. We reviewed participatory surveillance systems currently running in 13 different countries. These systems have a growing evidence base showing a high degree of accuracy and increased sensitivity and timeliness relative to traditional healthcare-based systems. They have also proven useful for assessing risk factors, vaccine effectiveness, and patterns of healthcare utilization while being less expensive, more flexible, and more scalable than traditional systems. Nonetheless, they present important challenges including biases associated with the population that chooses to participate, difficulty in adjusting for confounders, and limited specificity because of reliance only on syndromic definitions of disease limits. Overall, participatory disease surveillance data provides unique disease information that is not available through traditional surveillance sources. PMID:24991229

  6. Multinational Disease Surveillance Programs: Promoting Global Information Exchange for Infectious Diseases.

    PubMed

    Varan, Aiden K; Bruniera-Oliveira, Robson; Peter, Christopher R; Fonseca-Ford, Maureen; Waterman, Stephen H

    2015-09-01

    Cross-border surveillance for emerging diseases such as Ebola and other infectious diseases requires effective international collaboration. We surveyed representatives from 12 multinational disease surveillance programs between January 2013 and April 2014. Our survey identified programmatic similarities despite variation in health priorities, geography, and socioeconomic context, providing a contemporary perspective on infectious disease surveillance networks.

  7. Multinational Disease Surveillance Programs: Promoting Global Information Exchange for Infectious Diseases

    PubMed Central

    Varan, Aiden K.; Bruniera-Oliveira, Robson; Peter, Christopher R.; Fonseca-Ford, Maureen; Waterman, Stephen H.

    2015-01-01

    Cross-border surveillance for emerging diseases such as Ebola and other infectious diseases requires effective international collaboration. We surveyed representatives from 12 multinational disease surveillance programs between January 2013 and April 2014. Our survey identified programmatic similarities despite variation in health priorities, geography, and socioeconomic context, providing a contemporary perspective on infectious disease surveillance networks. PMID:26033019

  8. Surveillance of chronic kidney disease around the world: tracking and reining in a global problem.

    PubMed

    Saran, Rajiv; Hedgeman, Elizabeth; Huseini, Mustafa; Stack, Austin; Shahinian, Vahakn

    2010-05-01

    In recent years, there has been a general recognition of the importance of tackling noncommunicable chronic diseases throughout the world and not just in developed nations. Chronic kidney disease (CKD) is increasingly recognized as a public health threat, based on its high prevalence, rising incidence, associated complications, and cost. It is imperative that nations develop screening and surveillance programs related to CKD. This article provides a global perspective on existing and emerging CKD surveillance efforts. A variety of programs are described, ranging from cross-sectional screening studies to determine CKD prevalence; targeted screening of high-risk populations presenting for voluntary testing; to more systematic surveillance within the scope of integrated health care systems in many developed nations. The choice of surveillance programs for many countries will depend on available resources and competing health care priorities. Integration with surveillance programs for other major chronic diseases such as diabetes, hypertension, and obesity is highly desirable and could be a key to the prevention of CKD. Finally, we propose the model of integrated health systems as one that is perhaps best suited to systematic, longitudinal surveillance of many chronic diseases, a model based on a national electronic health care record with linkage across primary care and hospital-based programs. Robust health education efforts and timely dissemination strategies will remain the key to the success of disease surveillance. It is gratifying to note that more and more countries are developing and adopting CKD surveillance programs as part of national disease prevention strategies.

  9. Verification of Neonatal Tetanus Surveillance Systems in Katsina State, Nigeria.

    PubMed

    Nass, Shafique Sani; Danawi, Hadi; Cain, Loretta; Sharma, Monoj

    2017-01-01

    The incidence and mortality rates of neonatal tetanus (NNT) remain underreported in Nigeria. The goal of the study was to compare the NNT prevalence and the mortality rates from the existing surveillance system and active surveillance of health facility records in 7 selected health facilities from 2010 to 2014 in Katsina State, Nigeria. The study is a retrospective record review using extracted data from NNT records and analyzed using descriptive statistics. The prevalence of NNT and mortality rate were 336 cases and 3.4 deaths per 100 000 population, respectively, whereas the prevalence of NNT and mortality rate reported through the Integrated Disease Surveillance and Response (IDSR) system were 111 cases and 1.0 death per 100 000 population, respectively. The study shows underreporting of NNT in the existing IDSR system. Active surveillance is a good strategy for verifying underreporting of NNT in the surveillance system. The IDSR system should be strengthened with the capacity to detect events associated with a disease toward global elimination.

  10. System For Surveillance Of Spectral Signals

    DOEpatents

    Gross, Kenneth C.; Wegerich, Stephan; Criss-Puszkiewicz, Cynthia; Wilks, Alan D.

    2003-04-22

    A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a Sequential Probability Ratio Test methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.

  11. System for surveillance of spectral signals

    DOEpatents

    Gross, Kenneth C.; Wegerich, Stephan W.; Criss-Puszkiewicz, Cynthia; Wilks, Alan D.

    2006-02-14

    A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a Sequential Probability Ratio Test ("SPRT") methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.

  12. System For Surveillance Of Spectral Signals

    DOEpatents

    Gross, Kenneth C.; Wegerich, Stephan W.; Criss-Puszkiewicz, Cynthia; Wilks, Alan D.

    2004-10-12

    A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a Sequential Probability Ratio Test ("SPRT") methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.

  13. System for surveillance of spectral signals

    DOEpatents

    Gross, Kenneth C.; Wegerich, Stephan W.; Criss-Puszkiewicz, Cynthia; Wilks, Alan D.

    2001-01-01

    A method and system for monitoring at least one of a system, a process and a data source. A method and system have been developed for carrying out surveillance, testing and modification of an ongoing process or other source of data, such as a spectroscopic examination. A signal from the system under surveillance is collected and compared with a reference signal, a frequency domain transformation carried out for the system signal and reference signal, a frequency domain difference function established. The process is then repeated until a full range of data is accumulated over the time domain and a SPRT sequential probability ratio test methodology applied to determine a three-dimensional surface plot characteristic of the operating state of the system under surveillance.

  14. Integrated Diseases Surveillance Project (IDSP) through a consultant's lens.

    PubMed

    Suresh, K

    2008-01-01

    India has long experienced one of the highest burdens of infectious diseases in the world, fueled by factors including a large population, high poverty levels, poor sanitation, and problems with access to health care and preventive services. It has traditionally been difficult to monitor disease burden and trends in India, even more difficult to detect, diagnose, and control outbreaks until they had become quite large. In an effort to improve the surveillance and response infrastructure in the country, in November 2004 the Integrated Disease Surveillance Project (IDSP) was initiated with funding from the World Bank. Given the surveillance challenges in India, the project seeks to accomplish its goals through, having a small list of priority conditions, many of which are syndrome-based at community and sub center level and easily recognizable at the out patients and inpatients care of facilities at lowest levels of the health care system, a simplified battery of laboratory tests and rapid test kits, and reporting of largely aggregate data rather than individual case reporting. The project also includes activities that are relatively high technology, such as computerization, electronic data transmission, and video conferencing links for communication and training. The project is planned to be implemented all over the country in a phased manner with a stress on 14 focus states for intensive follow-up to demonstrate successful implementation of IDSP. The National Institute of Communicable Diseases chosen to provide national leadership may have to immediately address five issues. First, promote surveillance through major hospitals (both in public and private sector) and active surveillance through health system staff and community, second, build capacity for data collation, analysis, interpretation to recognize warning signal of outbreak, and institute public health action, third, develop a system which allows availability of quality test kits at district and state

  15. Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system

    PubMed Central

    2013-01-01

    Background Although evidence suggests that poor sleep is associated with chronic disease, little research has been conducted to assess the relationships between insufficient sleep, frequent mental distress (FMD ≥14 days during the past 30 days), obesity, and chronic disease including diabetes mellitus, coronary heart disease, stroke, high blood pressure, asthma, and arthritis. Methods Data from 375,653 US adults aged ≥ 18 years in the 2009 Behavioral Risk Factor Surveillance System were used to assess the relationships between insufficient sleep and chronic disease. The relationships were further examined using a multivariate logistic regression model after controlling for age, sex, race/ethnicity, education, and potential mediators (FMD and obesity). Results The overall prevalence of insufficient sleep during the past 30 days was 10.4% for all 30 days, 17.0% for 14–29 days, 42.0% for 1–13 days, and 30.6% for zero day. The positive relationships between insufficient sleep and each of the six chronic disease were significant (p < 0.0001) after adjustment for covariates and were modestly attenuated but not fully explained by FMD. The relationships between insufficient sleep and both diabetes and high blood pressure were also modestly attenuated but not fully explained by obesity. Conclusions Assessment of sleep quantity and quality and additional efforts to encourage optimal sleep and sleep health should be considered in routine medical examinations. Ongoing research designed to test treatments for obesity, mental distress, or various chronic diseases should also consider assessing the impact of these treatments on sleep health. PMID:23360346

  16. Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system.

    PubMed

    Liu, Yong; Croft, Janet B; Wheaton, Anne G; Perry, Geraldine S; Chapman, Daniel P; Strine, Tara W; McKnight-Eily, Lela R; Presley-Cantrell, Letitia

    2013-01-29

    Although evidence suggests that poor sleep is associated with chronic disease, little research has been conducted to assess the relationships between insufficient sleep, frequent mental distress (FMD ≥14 days during the past 30 days), obesity, and chronic disease including diabetes mellitus, coronary heart disease, stroke, high blood pressure, asthma, and arthritis. Data from 375,653 US adults aged ≥ 18 years in the 2009 Behavioral Risk Factor Surveillance System were used to assess the relationships between insufficient sleep and chronic disease. The relationships were further examined using a multivariate logistic regression model after controlling for age, sex, race/ethnicity, education, and potential mediators (FMD and obesity). The overall prevalence of insufficient sleep during the past 30 days was 10.4% for all 30 days, 17.0% for 14-29 days, 42.0% for 1-13 days, and 30.6% for zero day. The positive relationships between insufficient sleep and each of the six chronic disease were significant (p < 0.0001) after adjustment for covariates and were modestly attenuated but not fully explained by FMD. The relationships between insufficient sleep and both diabetes and high blood pressure were also modestly attenuated but not fully explained by obesity. Assessment of sleep quantity and quality and additional efforts to encourage optimal sleep and sleep health should be considered in routine medical examinations. Ongoing research designed to test treatments for obesity, mental distress, or various chronic diseases should also consider assessing the impact of these treatments on sleep health.

  17. Health & Demographic Surveillance System Profile: Farafenni Health and Demographic Surveillance System in The Gambia.

    PubMed

    Jasseh, Momodou; Gomez, Pierre; Greenwood, Brian M; Howie, Stephen R C; Scott, Susana; Snell, Paul C; Bojang, Kalifa; Cham, Mamady; Corrah, Tumani; D'Alessandro, Umberto

    2015-06-01

    The Farafenni Health and Demographic Surveillance System (Farafenni HDSS) is located 170 km from the coast in a rural area of The Gambia, north of the River Gambia. It was set up in 1981 by the UK Medical Research Council Laboratories to generate demographic and health information required for the evaluation of a village-based, primary health care programme in 40 villages. Regular updates of demographic events and residency status have subsequently been conducted every 4 months. The surveillance area was extended in 2002 to include Farafenni Town and surrounding villages to support randomized, controlled trials. With over three decades of prospective surveillance, and through specific scientific investigations, the platform (population ≈ 50,000) has generated data on: morbidity and mortality due to malaria in children and during pregnancy; non-communicable disease among adults; reproductive health; and levels and trends in childhood and maternal mortality. Other information routinely collected includes causes of death through verbal autopsy, and household socioeconomic indicators. The current portfolio of the platform includes tracking Millennium Development Goal 4 (MDG4) attainments in rural Gambia and cause-of-death determination.

  18. Impact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation.

    PubMed

    Huaman, Moises A; Araujo-Castillo, Roger V; Soto, Giselle; Neyra, Joan M; Quispe, Jose A; Fernandez, Miguel F; Mundaca, Carmen C; Blazes, David L

    2009-03-10

    A timely detection of outbreaks through surveillance is needed in order to prevent future pandemics. However, current surveillance systems may not be prepared to accomplish this goal, especially in resource limited settings. As data quality and timeliness are attributes that improve outbreak detection capacity, we assessed the effect of two interventions on such attributes in Alerta, an electronic disease surveillance system in the Peruvian Navy. 40 Alerta reporting units (18 clinics and 22 ships) were included in a 12-week prospective evaluation project. After a short refresher course on the notification process, units were randomly assigned to either a phone, visit or control group. Phone group sites were called three hours before the biweekly reporting deadline if they had not sent their report. Visit group sites received supervision visits on weeks 4 & 8, but no phone calls. The control group sites were not contacted by phone or visited. Timeliness and data quality were assessed by calculating the percentage of reports sent on time and percentage of errors per total number of reports, respectively. Timeliness improved in the phone group from 64.6% to 84% in clinics (+19.4 [95% CI, +10.3 to +28.6]; p < 0.001) and from 46.9% to 77.3% on ships (+30.4 [95% CI, +16.9 to +43.8]; p < 0.001). Visit and control groups did not show significant changes in timeliness. Error rates decreased in the visit group from 7.1% to 2% in clinics (-5.1 [95% CI, -8.7 to -1.4]; p = 0.007), but only from 7.3% to 6.7% on ships (-0.6 [95% CI, -2.4 to +1.1]; p = 0.445). Phone and control groups did not show significant improvement in data quality. Regular phone reminders significantly improved timeliness of reports in clinics and ships, whereas supervision visits led to improved data quality only among clinics. Further investigations are needed to establish the cost-effectiveness and optimal use of each of these strategies.

  19. New York City syndromic surveillance systems.

    PubMed

    Heffernan, Richard; Mostashari, F; Das, D; Besculides, M; Rodriguez, C; Greenko, J; Steiner-Sichel, L; Balter, S; Karpati, A; Thomas, P; Phillips, M; Ackelsberg, J; Lee, E; Leng, J; Hartman, J; Metzger, K; Rosselli, R; Weiss, D

    2004-09-24

    New York City's first syndromic surveillance systems were established in 1995 to detect outbreaks of waterborne illness. In 1998, daily monitoring of ambulance dispatch calls for influenza-like illness began. After the 2001 World Trade Center attacks, concern about biologic terrorism led to the development of surveillance systems to track chief complaints of patients reporting to emergency departments, over-the-counter and prescription pharmacy sales, and worker absenteeism. These systems have proved useful for detecting substantial citywide increases in common viral illnesses (e.g., influenza, norovirus, and rotavirus). However, the systems have not detected more contained outbreaks earlier than traditional surveillance. Future plans include monitoring school health and outpatient clinic visits, augmenting laboratory testing to confirm syndromic signals, and conducting evaluation studies to identify which of these systems will be continued for the long term.

  20. Laser Surveillance System for Spent Fuel

    SciTech Connect

    Fiarman, S.; Zucker, M. S.; Bieber, Jr., A. M.

    1980-01-01

    A laser surveillance system installed at spent fuel storage pools (SFSP's) will provide the safeguard inspector with specific knowledge of spent fuel movement that cannot be obtained with current surveillance systems. The laser system will allow for the division of the pool's spent fuel inventory into two populations - those assemblies which have been moved and those which haven't - which is essential for maximizing the efficiency and effectiveness of the inspection effort. We have designed, constructed, and tested a full size laser system operating in air and have used an array of 6 zircaloy BWR tubes to simulate an assembly. The reflective signal from the zircaloy rods is a strong function of position of the assembly, but in all cases is easily discernable from the reference scan of the background with no assembly. A design for a SFSP laser surveillance system incorporating laser ranging is discussed. 10 figures.

  1. [Surveillance of infectious diseases: principles and organisation in France in 2005].

    PubMed

    Desenclos, J-C

    2005-05-01

    Surveillance is a continuous and systematic process of collection, analysis, and diffusion of health data to all those who contributed to the collection and all those who need this data in order to take action. Surveillance activities first target health problems for which effective prevention or control measures are available. Surveillance objectives include the following-up of trends and changes in disease characteristics, evaluation of public health actions, and early detection of infectious diseases threats and epidemic and their investigation. The data produced by surveillance systems allow prioritizing public health actions and defining the objectives of infectious diseases control or prevention. The surveillance of infectious diseases relies on a large number of partners grouped in a public health network in which clinicians and microbiologists have a prominent role. In France, the surveillance of infectious diseases is based on mandatory notification of some diseases, national reference centers, networks of voluntary health professionals or services, and repeated surveys. The national surveillance is coordinated by a public health institute, "l'Institut de Veille Sanitaire", the missions of which are public health surveillance of the population, alerting health authorities in case of health threats, and identifying the determinants of changes in the population's health status.

  2. SURVEILLANCE FOR WATERBORNE DISEASE AND OUTBREAK ASSOCIATED WITH RECREATIONAL WATER - UNITED STATES 2003-2004

    EPA Science Inventory

    Problem/Condition: Since 1971, the Centers for Disease Control and Prevention (CDC), the U.S. Environmental Protection Agency, and the Council of State and Territorial Epidemiologists have maintained a collaborative surveillance system for collecting and periodically reporting da...

  3. SURVEILLANCE FOR WATERBORNE DISEASE AND OUTBREAK ASSOCIATED WITH RECREATIONAL WATER - UNITED STATES 2003-2004

    EPA Science Inventory

    Problem/Condition: Since 1971, the Centers for Disease Control and Prevention (CDC), the U.S. Environmental Protection Agency, and the Council of State and Territorial Epidemiologists have maintained a collaborative surveillance system for collecting and periodically reporting da...

  4. [Infectious disease surveillance in Miyagi after the Great East Japan Earthquake].

    PubMed

    Kim, Mihyun; Kamigaki, Taro; Mimura, Satoshi; Oshitani, Hitoshi

    2013-10-01

    The Great East Japan Earthquake, which occurred on March 11, 2011, damaged many health facilities and compelled many inhabitants to live in evacuation centers. For the purpose of monitoring infectious disease outbreaks, infectious disease surveillance targeted at evacuation centers was established in Miyagi Prefecture. In this study, we summarized the monitoring activities of infectious diseases through this surveillance after the earthquake. Infectious disease surveillance was implemented from March 18 to November 6, 2011. The surveillance consisted of two phases (hereafter, surveillance 1 and 2) reflecting the difference in frequencies of reporting as well as the number of targeted diseases. Surveillance 1 operated between March 18 and May 13, 2011, and Surveillance 2 operated between May 10 and November 6, 2011. We reviewed the number of cases reported, the number of evacuation centers, and demographic information of evacuees with the surveillance. In Surveillance 1, there were 8,737 reported cases; 84% of them were acute respiratory symptoms, and 16% were acute digestive symptoms. Only 4.4% of evacuation centers were covered by the surveillance one week after the earthquake. In Surveillance 2, 1,339 cases were reported; 82% of them were acute respiratory symptoms, and 13% were acute digestive symptoms. Surveillance 2 revealed that the proportion of children aged 5 years and younger was lower than that of other age groups in all targeted diseases. No particular outbreaks were detected through those surveillances. Infectious disease surveillance operated from one week after the earthquake to the closure of all evacuation centers in Miyagi Prefecture. No outbreaks were detected in that period. However, low coverage of evacuation centers just after the earthquake as well as skewed frequencies of reported syndromes draw attention to the improvement of the early warning system. It is important to coordinate with the medical aid team that visits the evacuation centers

  5. Self tuning system for industrial surveillance

    DOEpatents

    Stephan, Wegerich W; Jarman, Kristin K.; Gross, Kenneth C.

    2000-01-01

    A method and system for automatically establishing operational parameters of a statistical surveillance system. The method and system performs a frequency domain transition on time dependent data, a first Fourier composite is formed, serial correlation is removed, a series of Gaussian whiteness tests are performed along with an autocorrelation test, Fourier coefficients are stored and a second Fourier composite is formed. Pseudorandom noise is added, a Monte Carlo simulation is performed to establish SPRT missed alarm probabilities and tested with a synthesized signal. A false alarm test is then emperically evaluated and if less than a desired target value, then SPRT probabilities are used for performing surveillance.

  6. Progress in improving state and local disease surveillance--United States, 2000-2005.

    PubMed

    2005-08-26

    In September 2000, states began receiving federal funding to plan and implement integrated electronic systems for disease surveillance. CDC and state and local health departments had recognized the importance of such systems and of uniform standards to improve the usefulness of public health surveillance and the timeliness of response to outbreaks of disease. Previously, state health departments received most case-report forms by mail and then entered the data into computer systems, sometimes weeks after the cases of notifiable disease had occurred, including cases that warranted immediate public health investigation or intervention. In addition, depending on the disease, only 10%-85% of cases were reported, and more than 100 different systems were used to transmit these reports from the states to CDC (CDC, unpublished data, 2005). This report summarizes progress since the initial funding in 2000 in improving state and local disease surveillance through secure, Internet-based data entry and automated electronic laboratory results (ELR) reporting. Both are components of the National Electronic Disease Surveillance System (NEDSS), the surveillance and monitoring component of the broader Public Health Information Network (PHIN) initiative. Local, state, and national public health officials should continue to improve the timeliness and completeness of disease surveillance.

  7. We Can Have It All: Improved Surveillance Outcomes and Decreased Personnel Costs Associated With Electronic Reportable Disease Surveillance, North Carolina, 2010

    PubMed Central

    DiBiase, Lauren; Fangman, Mary T.; Fleischauer, Aaron T.; Waller, Anna E.; MacDonald, Pia D. M.

    2013-01-01

    Objectives. We assessed the timeliness, accuracy, and cost of a new electronic disease surveillance system at the local health department level. We describe practices associated with lower cost and better surveillance timeliness and accuracy. Methods. Interviews conducted May through August 2010 with local health department (LHD) staff at a simple random sample of 30 of 100 North Carolina counties provided information on surveillance practices and costs; we used surveillance system data to calculate timeliness and accuracy. We identified LHDs with best timeliness and accuracy and used these categories to compare surveillance practices and costs. Results. Local health departments in the top tertiles for surveillance timeliness and accuracy had a lower cost per case reported than LHDs with lower timeliness and accuracy ($71 and $124 per case reported, respectively; P = .03). Best surveillance practices fell into 2 domains: efficient use of the electronic surveillance system and use of surveillance data for local evaluation and program management. Conclusions. Timely and accurate surveillance can be achieved in the setting of restricted funding experienced by many LHDs. Adopting best surveillance practices may improve both efficiency and public health outcomes. PMID:24134385

  8. Pesticide poisoning in Zhejiang, China: a retrospective analysis of adult cases registration by occupational disease surveillance and reporting systems from 2006 to 2010

    PubMed Central

    Zhang, Meibian; Fang, Xinglin; Zhou, Lifang; Su, Liling; Zheng, Jiajia; Jin, Minjuan; Zou, Hua; Chen, Guangdi

    2013-01-01

    Objective Despite the rapid industrialisation and urbanisation over the past 30 years, agriculture is one of the largest economic sectors in China and the unregulated use of pesticides result in extensive pesticide poisoning. The objective of this study was to analyse pesticide poisoning cases registration received by Zhejiang Provincial Center for Disease Control and Prevention, China. Design Register-based study. Setting Cases registered regarding pesticide poisoning. Data were obtained from the Occupational Disease Surveillance and Reporting Systems in Zhejiang province from 2006 to 2010, which contains anonymous records representing general population of Zhejiang province, China. Participants All cases registered as pesticide poisoning were identified. Primary outcome Monthly and age-group pesticide poisoning death rates were calculated. Results A total of 20 097 pesticide poisoning cases with 1413 deaths were recorded during the study period. There were 10 513 male pesticide poisoning cases with 782 deaths, and 9584 females with 631 deaths. Pesticide poisoning occurred mostly in non-occupational exposure (79.86%), in which the majority (85.77%) of the cases was of intentional pesticide poisoning. The occupational exposure was most common in men during the farming season. The death rate increased stepwise with age, and the pesticide suicide rate was higher in the older age group. Conclusions Pesticide poisoning remains a major health problem in China, and further recommendations to reduce the pesticide poisoning are required. PMID:24270833

  9. Hospitalization Records as a Tool for Evaluating Performance of Food- and Water-Borne Disease Surveillance Systems: A Massachusetts Case Study

    PubMed Central

    Mor, Siobhan M.; DeMaria Jr., Alfred; Naumova, Elena N.

    2014-01-01

    We outline a framework for evaluating food- and water-borne surveillance systems using hospitalization records, and demonstrate the approach using data on salmonellosis, campylobacteriosis and giardiasis in persons aged ≥65 years in Massachusetts. For each infection, and for each reporting jurisdiction, we generated smoothed standardized morbidity ratios (SMR) and surveillance to hospitalization ratios (SHR) by comparing observed surveillance counts with expected values or the number of hospitalized cases, respectively. We examined the spatial distribution of SHR and related this to the mean for the entire state. Through this approach municipalities that deviated from the typical experience were identified and suspected of under-reporting. Regression analysis revealed that SHR was a significant predictor of SMR, after adjusting for population age-structure. This confirms that the spatial “signal” depicted by surveillance is in part influenced by inconsistent testing and reporting practices since municipalities that reported fewer cases relative to the number of hospitalizations had a lower relative risk (as estimated by SMR). Periodic assessment of SHR has potential in assessing the performance of surveillance systems. PMID:24740304

  10. Hospitalization records as a tool for evaluating performance of food- and water-borne disease surveillance systems: a Massachusetts case study.

    PubMed

    Mor, Siobhan M; DeMaria, Alfred; Naumova, Elena N

    2014-01-01

    We outline a framework for evaluating food- and water-borne surveillance systems using hospitalization records, and demonstrate the approach using data on salmonellosis, campylobacteriosis and giardiasis in persons aged ≥65 years in Massachusetts. For each infection, and for each reporting jurisdiction, we generated smoothed standardized morbidity ratios (SMR) and surveillance to hospitalization ratios (SHR) by comparing observed surveillance counts with expected values or the number of hospitalized cases, respectively. We examined the spatial distribution of SHR and related this to the mean for the entire state. Through this approach municipalities that deviated from the typical experience were identified and suspected of under-reporting. Regression analysis revealed that SHR was a significant predictor of SMR, after adjusting for population age-structure. This confirms that the spatial "signal" depicted by surveillance is in part influenced by inconsistent testing and reporting practices since municipalities that reported fewer cases relative to the number of hospitalizations had a lower relative risk (as estimated by SMR). Periodic assessment of SHR has potential in assessing the performance of surveillance systems.

  11. ESSENCE II and the framework for evaluating syndromic surveillance systems.

    PubMed

    Lombardo, Joseph S; Burkom, H; Pavlin, J

    2004-09-24

    The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II) is a prototype syndromic surveillance system for capturing and analyzing public health indicators for early detection of disease outbreaks. This paper presents a preliminary evaluation of ESSENCE II according to a CDC framework for evaluating syndromic surveillance systems. Each major topic of the framework is addressed in this assessment of ESSENCE II performance. ESSENCE captures data in multiple formats, parses text strings into syndrome groupings, and applies multiple temporal and spatio-temporal outbreak-detection algorithms. During a recent DARPA evaluation exercise, ESSENCE algorithms detected a set of health events with a median delay of 1 day after the earliest possible detection opportunity. ESSENCE II has provided excellent performance with respect to the framework and has proven to be a useful and cost-effective approach for providing early detection of health events.

  12. Sentinel surveillance system for early outbreak detection in Madagascar

    PubMed Central

    2010-01-01

    Background Following the outbreak of chikungunya in the Indian Ocean, the Ministry of Health directed the necessary development of an early outbreak detection system. A disease surveillance team including the Institut Pasteur in Madagascar (IPM) was organized to establish a sentinel syndromic-based surveillance system. The system, which was set up in March 2007, transmits patient data on a daily basis from the various voluntary general practitioners throughout the six provinces of the country to the IPM. We describe the challenges and steps involved in developing a sentinel surveillance system and the well-timed information it provides for improving public health decision-making. Methods Surveillance was based on data collected from sentinel general practitioners (SGP). The SGPs report the sex, age, visit date and time, and symptoms of each new patient weekly, using forms addressed to the management team. However, the system is original in that SGPs also report data at least once a day, from Monday to Friday (number of fever cases, rapid test confirmed malaria, influenza, arboviral syndromes or diarrhoeal disease), by cellular telephone (encrypted message SMS). Information can also be validated by the management team, by mobile phone. This data transmission costs 120 ariary per day, less than US$1 per month. Results In 2008, the sentinel surveillance system included 13 health centers, and identified 5 outbreaks. Of the 218,849 visits to SGPs, 12.2% were related to fever syndromes. Of these 26,669 fever cases, 12.3% were related to Dengue-like fever, 11.1% to Influenza-like illness and 9.7% to malaria cases confirmed by a specific rapid diagnostic test. Conclusion The sentinel surveillance system represents the first nationwide real-time-like surveillance system ever established in Madagascar. Our findings should encourage other African countries to develop their own syndromic surveillance systems. Prompt detection of an outbreak of infectious disease may lead to

  13. International Circumpolar Surveillance, An Arctic Network for the Surveillance of Infectious Diseases

    PubMed Central

    Bruce, Michael G.; Zulz, Tammy

    2008-01-01

    Peoples of the Arctic and sub-Arctic regions live in social and physical environments that differ substantially from those of their more southern-dwelling counterparts. The cold northern climate keeps people indoors, amplifying the effects of household crowding, smoking, and inadequate ventilation on person-to-person spread of infectious disease. The emergence of antimicrobial drug resistance among bacterial pathogens, the reemergence of tuberculosis, the entrance of HIV into Arctic communities, and the specter of pandemic influenza or the sudden emergence and introduction of new viral pathogens such as severe acute respiratory syndrome are of increasing concern to residents, governments, and public health authorities. The International Circumpolar Surveillance system is a network of hospital, public health agencies, and reference laboratories throughout the Arctic linked together to collect, compare, and share uniform laboratory and epidemiologic data on infectious diseases and assist in the formulation of prevention and control strategies. PMID:18258072

  14. Contribution of job-exposure matrices for exposure assessment in occupational safety and health monitoring systems: application from the French national occupational disease surveillance and prevention network.

    PubMed

    Florentin, Arnaud; Zmirou-Navier, Denis; Paris, Christophe

    2017-08-01

    To detect new hazards ("signals"), occupational health monitoring systems mostly rest on the description of exposures in the jobs held and on reports by medical doctors; these are subject to declarative bias. Our study aims to assess whether job-exposure matrices (JEMs) could be useful tools for signal detection by improving exposure reporting. Using the French national occupational disease surveillance and prevention network (RNV3P) data from 2001 to 2011, we explored the associations between disease and exposure prevalence for 3 well-known pathology/exposure couples and for one debatable couple. We compared the associations measured when using physicians' reports or applying the JEMs, respectively, for these selected diseases and across non-selected RNV3P population or for cases with musculoskeletal disorders, used as two reference groups; the ratio of exposure prevalences according to the two sources of information were computed for each disease category. Our population contained 58,188 subjects referred with pathologies related to work. Mean age at diagnosis was 45.8 years (95% CI 45.7; 45.9), and 57.2% were men. For experts, exposure ratios increase with knowledge on exposure causality. As expected, JEMs retrieved more exposed cases than experts (exposure ratios between 12 and 194), except for the couple silica/silicosis, but not for the MSD control group (ratio between 0.2 and 0.8). JEMs enhanced the number of exposures possibly linked with some conditions, compared to experts' assessment, relative to the whole database or to a reference group; they are less likely to suffer from declarative bias than reports by occupational health professionals.

  15. An emergency response UAV Surveillance System.

    PubMed

    Rodriguez, Pedro A; Geckle, William J; Barton, Jeffrey D; Samsundar, John; Gao, Tia; Brown, Myron Z; Martin, Sean R

    2006-01-01

    A system using Unmanned Air Vehicles (UAVs), equipped for real time telemetry of video imagery, sensor support data, and GPS/INS navigation, is being developed to provide situational awareness (SA) to the central command of mass casualty incident response. UAVs provide an inexpensive and safe means of acquiring video surveillance in chaotic disaster scenes, while being durable and non-intrusive. The system provides autonomous surveillance of defined perimeters, video tracking and active following of targets of interest, and real time cueing to other imaging UAVs.

  16. An Emergency Response UAV Surveillance System

    PubMed Central

    Rodriguez, Pedro A.; Geckle, William J.; Barton, Jeffrey D.; Samsundar, John; Gao, Tia; Brown, Myron Z.; Martin, Sean R.

    2006-01-01

    A system using Unmanned Air Vehicles (UAVs), equipped for real time telemetry of video imagery, sensor support data, and GPS/INS navigation, is being developed to provide situational awareness (SA) to the central command of mass casualty incident response. UAVs provide an inexpensive and safe means of acquiring video surveillance in chaotic disaster scenes, while being durable and non-intrusive. The system provides autonomous surveillance of defined perimeters, video tracking and active following of targets of interest, and real time cueing to other imaging UAVs. PMID:17238697

  17. Deaths ascribed to non-communicable diseases among rural Kenyan adults are proportionately increasing: evidence from a health and demographic surveillance system, 2003-2010.

    PubMed

    Phillips-Howard, Penelope A; Laserson, Kayla F; Amek, Nyaguara; Beynon, Caryl M; Angell, Sonia Y; Khagayi, Sammy; Byass, Peter; Hamel, Mary J; van Eijk, Anne M; Zielinski-Gutierrez, Emily; Slutsker, Laurence; De Cock, Kevin M; Vulule, John; Odhiambo, Frank O

    2014-01-01

    Non-communicable diseases (NCDs) result in more deaths globally than other causes. Monitoring systems require strengthening to attribute the NCD burden and deaths in low and middle-income countries (LMICs). Data from health and demographic surveillance systems (HDSS) can contribute towards this goal. Between 2003 and 2010, 15,228 deaths in adults aged 15 years (y) and older were identified retrospectively using the HDSS census and verbal autopsy in rural western Kenya, attributed into broad categories using InterVA-4 computer algorithms; 37% were ascribed to NCDs, 60% to communicable diseases (CDs), 3% to injuries, and <1% maternal causes. Median age at death for NCDs was 66y and 71y for females and males, respectively, with 43% (39% male, 48% female) of NCD deaths occurring prematurely among adults aged below 65y. NCD deaths were mainly attributed to cancers (35%) and cardio-vascular diseases (CVDs; 29%). The proportionate mortality from NCDs rose from 35% in 2003 to 45% in 2010 (χ2 linear trend 93.4; p<0.001). While overall annual mortality rates (MRs) for NCDs fell, cancer-specific MRs rose from 200 to 262 per 100,000 population, mainly due to increasing deaths in adults aged 65y and older, and to respiratory neoplasms in all age groups. The substantial fall in CD MRs resulted in similar MRs for CDs and NCDs among all adult females by 2010. NCD MRs for adults aged 15y to <65y fell from 409 to 183 per 100,000 among females and from 517 to 283 per 100,000 population among males. NCD MRs were higher among males than females aged both below, and at or above, 65y. NCDs constitute a significant proportion of deaths in rural western Kenya. Evidence of the increasing contribution of NCDs to overall mortality supports international recommendations to introduce or enhance prevention, screening, diagnosis and treatment programmes in LMICs.

  18. Surveillance for foodborne disease outbreaks--United States, 2008.

    PubMed

    2011-09-09

    Foodborne agents cause an estimated 48 million illnesses annually in the United States, including 9.4 million illnesses from known pathogens. CDC collects data on foodborne disease outbreaks submitted from all states and territories through the Foodborne Disease Outbreak Surveillance System. During 2008, the most recent year for which data are finalized, 1,034 foodborne disease outbreaks were reported, which resulted in 23,152 cases of illness, 1,276 hospitalizations, and 22 deaths. Among the 479 outbreaks with a laboratory-confirmed single etiologic agent reported, norovirus was the most common, accounting for 49% of outbreaks and 46% of illnesses. Salmonella was the second most common, accounting for 23% of outbreaks and 31% of illnesses. Among the 218 outbreaks attributed to a food vehicle with ingredients from only one of 17 defined food commodities, the top commodities to which outbreaks were attributed were poultry (15%), beef (14%), and finfish (14%), whereas the top commodities to which outbreak-related illnesses were attributed were fruits and nuts (24%), vine-stalk vegetables (23%), and beef (13%). Outbreak surveillance provides insights into the agents that cause foodborne illness, types of implicated foods, and settings where transmission occurs. Public health, regulatory, and food industry professionals can use this information to target prevention efforts against pathogens and foods that cause the most foodborne disease outbreaks.

  19. Characterizing Lyme Disease Surveillance in an Endemic State.

    PubMed

    Rutz, H J; Wee, Sb; Feldman, K A

    2016-07-29

    Lyme disease (LD) is the most common vector-borne disease in Maryland and the United States. Surveillance for LD is valuable for understanding the burden of the disease, particularly to assess whether the disease is spreading and to appreciate who is affected. However, not all cases of LD in Maryland are reported, and surveillance practices vary across each of Maryland's 24 local health departments (LHDs). To better understand this variability and to systematically characterize the surveillance process, we surveyed Maryland's LHDs regarding LD surveillance. The Maryland Local Health Department Lyme Disease Surveillance Survey has been administered annually since 2011. Questions asked each year included whether all LD reports are investigated or only a subset, and how many reports are not entered into the surveillance database. Since 2011, Maryland has lost surveillance personnel for LD. Each year from 2009 to 2012, a median 3598 (range 2462 to 5722) reports were not entered into the surveillance database and hence not investigated. These reports represent 43-55% of all reports received for the year. Over time, more LHDs chose to streamline their LD investigation approach by investigating only those reports that met the criteria for laboratory evidence of infection: in 2008, 5 (21%) LHDs investigated only a subset of LD reports; by 2013, this increased to 15 (63%). There is wide variability across LHDs in how LD investigations are conducted. Maryland LHDs have experienced a loss of LD surveillance personnel with a concomitant increase in the number of LHDs adopting a streamlined approach to investigating cases. These findings underscore the tremendous burden of LD on the public health agencies and highlight the need for alternative approaches that can both reduce burden and preserve surveillance data quality. © 2016 Blackwell Verlag GmbH.

  20. Optimizing the response to surveillance alerts in automated surveillance systems.

    PubMed

    Izadi, Masoumeh; Buckeridge, David L

    2011-02-28

    Although much research effort has been directed toward refining algorithms for disease outbreak alerting, considerably less attention has been given to the response to alerts generated from statistical detection algorithms. Given the inherent inaccuracy in alerting, it is imperative to develop methods that help public health personnel identify optimal policies in response to alerts. This study evaluates the application of dynamic decision making models to the problem of responding to outbreak detection methods, using anthrax surveillance as an example. Adaptive optimization through approximate dynamic programming is used to generate a policy for decision making following outbreak detection. We investigate the degree to which the model can tolerate noise theoretically, in order to keep near optimal behavior. We also evaluate the policy from our model empirically and compare it with current approaches in routine public health practice for investigating alerts. Timeliness of outbreak confirmation and total costs associated with the decisions made are used as performance measures. Using our approach, on average, 80 per cent of outbreaks were confirmed prior to the fifth day of post-attack with considerably less cost compared to response strategies currently in use. Experimental results are also provided to illustrate the robustness of the adaptive optimization approach and to show the realization of the derived error bounds in practice.

  1. Establishing a cost-effective national surveillance system for Bluetongue using scenario tree modelling

    PubMed Central

    Hadorn, Daniela C.; Racloz, Vanessa; Schwermer, Heinzpeter; Stärk, Katharina D.C.

    2009-01-01

    Vector-borne diseases pose a special challenge to veterinary authorities due to complex and time-consuming surveillance programs taking into account vector habitat. Using stochastic scenario tree modelling, each possible surveillance activity of a future surveillance system can be evaluated with regard to its sensitivity and the expected cost. The overall sensitivity of various potential surveillance systems, composed of different combinations of surveillance activities, is calculated and the proposed surveillance system is optimized with respect to the considered surveillance activities, the sensitivity and the cost. The objective of this project was to use stochastic scenario tree modelling in combination with a simple cost analysis in order to develop the national surveillance system for Bluetongue in Switzerland. This surveillance system was established due to the emerging outbreak of Bluetongue virus serotype 8 (BTV-8) in Northern Europe in 2006. Based on the modelling results, it was decided to implement an improved passive clinical surveillance in cattle and sheep through campaigns in order to increase disease awareness alongside a targeted bulk milk testing strategy in 200 dairy cattle herds located in high-risk areas. The estimated median probability of detection of cases (i.e. sensitivity) of the surveillance system in this combined approach was 96.4%. The evaluation of the prospective national surveillance system predicted that passive clinical surveillance in cattle would provide the highest probability to detect BTV-8 infected animals, followed by passive clinical surveillance in sheep and bulk milk testing of 200 dairy cattle farms in high-risk areas. This approach is also applicable in other countries and to other epidemic diseases. PMID:19607784

  2. IASM: A System for the Intelligent Active Surveillance of Malaria

    PubMed Central

    Yang, Bo; Chen, Hechang; Gu, Xiao; Bai, Yuan

    2016-01-01

    Malaria, a life-threatening infectious disease, spreads rapidly via parasites. Malaria prevention is more effective and efficient than treatment. However, the existing surveillance systems used to prevent malaria are inadequate, especially in areas with limited or no access to medical resources. In this paper, in order to monitor the spreading of malaria, we develop an intelligent surveillance system based on our existing algorithms. First, a visualization function and active surveillance were implemented in order to predict and categorize areas at high risk of infection. Next, socioeconomic and climatological characteristics were applied to the proposed prediction model. Then, the redundancy of the socioeconomic attribute values was reduced using the stepwise regression method to improve the accuracy of the proposed prediction model. The experimental results indicated that the proposed IASM predicted malaria outbreaks more close to the real data and with fewer variables than other models. Furthermore, the proposed model effectively identified areas at high risk of infection. PMID:27563343

  3. Development of a decision support system for crop disease monitoring, surveillance and prediction in Bomet county, Kenya

    NASA Astrophysics Data System (ADS)

    Otieno, O. M.

    2015-12-01

    The study proposes to use Geographic Information Systems and Remote Sensing techniques to spatially model Maize Lethal Necrosis (MLN) disease in maize growing areas in Kenya. Results from this work will be used for prediction, monitoring and to guide intervention on MLN. This will minimize maize yield losses resulting from MLN infestation and thus safeguard the livelihoods of maize farmers in Kenya. MLN was first reported in Kenya in September 2011 in Bomet county. It then subsequently spread to other parts in Kenya. Maize crops are susceptible to MLN at all growth stages. Once infected the only option left for the farmers is to burn their maize plantations. Infection rate and damage is very high affecting yields and sometimes causing complete loss of maize yield.The modelling exercise will cover the period prior to and after the incidence of MLN. Specifically, the analysis will integrate spatio-temporal information on maize phenology and field surveys with the intention of delineating the extent of MLN infestation and the degree of damage as a result of MLN. Additionally, the task will identify potential predisposing factors leading to MLN resurgence and spread and to predict potential areas where MLN is likely to spread and to estimate the potential impact of MLN on the farm holders. The area of study for this task will be Bomet County. Historical and current environmental and spatial indicators including temperature, rainfall, soil moisture, vegetation health and crop cover will be fed into a model in order to determine the main factors that aide the occurrence and the spread of MLN. Multi-spectral image processing will be used to produce indices to study maize crop health whilst image classification techniques will be used to identify crop cover clusters by differentiating the variations in spectral signatures in the area of study and hence distinguish infected, unaffected maize crops and other crop cover classes. Variables from these indicators will then be

  4. Fatal Infectious Disease Surveillance in a Medical Examiner Database1

    PubMed Central

    Nolte, Kurt B.; Yoon, Steven S.

    2004-01-01

    Increasing infectious disease deaths, the emergence of new infections, and bioterrorism have made surveillance for infectious diseases a public health concern. Medical examiners and coroners certify approximately 20% of all deaths that occur within the United States and can be a key source of information regarding infectious disease deaths. We hypothesized that a computer-assisted search tool (algorithm) could detect infectious disease deaths from a medical examiner database, thereby reducing the time and resources required to perform such surveillance manually. We developed two algorithms, applied them to a medical examiner database, and verified the cases identified against the opinion of a panel of experts. The algorithms detected deaths with infectious components with sensitivities from 67% to 94%, and predictive value positives ranging from 8% to 49%. Algorithms can be useful for surveillance in medical examiner offices that have limited resources or for conducting surveillance across medical examiner jurisdictions. PMID:15078596

  5. Disease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseases

    PubMed Central

    Rohart, Florian; Milinovich, Gabriel J.; Avril, Simon M. R.; Lê Cao, Kim-Anh; Tong, Shilu; Hu, Wenbiao

    2016-01-01

    Effective disease surveillance is critical to the functioning of health systems. Traditional approaches are, however, limited in their ability to deliver timely information. Internet-based surveillance systems are a promising approach that may circumvent many of the limitations of traditional health surveillance systems and provide more intelligence on cases of infection, including cases from those that do not use the healthcare system. Infectious disease surveillance systems built on Internet search metrics have been shown to produce accurate estimates of disease weeks before traditional systems and are an economically attractive approach to surveillance; they are, however, also prone to error under certain circumstances. This study sought to explore previously unmodeled diseases by investigating the link between Google Trends search metrics and Australian weekly notification data. We propose using four alternative disease modelling strategies based on linear models that studied the length of the training period used for model construction, determined the most appropriate lag for search metrics, used wavelet transformation for denoising data and enabled the identification of key search queries for each disease. Out of the twenty-four diseases assessed with Australian data, our nowcasting results highlighted promise for two diseases of international concern, Ross River virus and pneumococcal disease. PMID:27994231

  6. [Advance in application of syndromic surveillance for detection of emerging infectious diseases and outbreak alerts].

    PubMed

    Lin, Mei; Wang, Xin; Liang, Dabin

    2015-07-01

    Over the past decade, syndromic surveillance, as supplementation of disease surveillance, has provided possibility of early alert in a real-time way for detection of emerging infectious diseases and outbreaks of widespread infectious diseases, resulting in improvement in sensitivity of outbreak detection and public health alert capacity. This tool has been highly valued and widely used in the world, and effective implementation has been observed in China. Upon abundant literature search, the authors reviewed the progress and advance of syndromic surveillance in early alert of emerging infectious diseases and outbreaks, and analyzed the problem met in the current situation in China when implementing syndromic surveillance in local facilities, which are high cost, lack of medical information platform, lack of real-time digital alert system and lack of a comprehensive information exchange platform. The authors suggested that syndromic surveillance should be implemented considering the local situation and performed in a more effective way in the current situation. Syndromic surveillance has to be integrated into the conventional public health surveillance systems and advanced laboratory networks. Digital information system is urgently needed to achieve real-time alert.

  7. Comparison between active and passive surveillance within the network of epidemiological surveillance of animal diseases in Chad.

    PubMed

    Ouagal, Mahamat; Hendrikx, Pascal; Saegerman, Claude; Berkvens, Dirk

    2010-11-01

    A comparative study between passive and active surveillance based on herd visits (villages) was conducted over a period of 24 months. It included 106 surveillance stations of the animal disease epidemiological surveillance network in Chad distributed randomly into 52 stations of active surveillance and 54 stations of passive surveillance. Nine diseases of various vaccination and expected prevalence status were monitored. The active surveillance stations carried out four herd visits monthly to look for the diseases under surveillance and organised four farmers awareness-raising meetings to stimulate them to make disease notifications. The passive surveillance stations held each month four farmer awareness-raising meetings. The suspicions recorded by the stations were consigned to a suspicion form specific to each disease, indicating whether a call from the farmer, a visit to the herd or a awareness-raising meeting was the source. The results showed that, irrespective of surveillance type, all diseases under surveillance, except the rare diseases (Rinderpest and Rift Valley Fever) were reported by the surveillance agents. However, suspicions recorded following farmer calls are significantly more important than suspicions carried out during herd visits or meetings. Nevertheless, a considerable number of suspicions is recorded during awareness-raising meetings. Finally approximately 83% of the herd visits realised by the active surveillance stations showed negative results (no suspicion identified). Passive surveillance stimulated by awareness-raising meetings appears to be better adapted to Chads conditions and less expensive for the surveillance of existing diseases. However, for the rare diseases, other methods of specific active surveillance (such as for example sentinel herds) remain important to complete passive surveillance. Copyright © 2010 Elsevier B.V. All rights reserved.

  8. Timeliness of Malaria Surveillance System in Iran

    PubMed Central

    AKBARI, Hossein; MAJDZADEH, Reza; RAHIMI FOROUSHANI, Abbas; RAEISI, Ahmad

    2013-01-01

    Background: We aimed to evaluate the timeliness of reporting of malaria surveillance system and understanding the existing problems. Methods: The timeliness of malaria surveillance system of Iran was evaluated in four provinces of Iran including Sistan & Baluchistan, Hormozgan, Kerman (as provinces with local malaria transmission) and Khuzestan (without local malaria transmission). In this descriptive-analytic cross-sectional study two levels of Primary Health Care service providers including first level (Health Houses) and second level (Urban or Rural Health care units) were evaluated with regard to reporting of malaria surveillance system. Results: Forms number 1 (87% reported within one day) and number 2 (reporting median: 2 days) are reported from first level to second level, and forms number 4 (median: 4 days), number 3 (median: 6 days), number 7 (median: 9 days), number 5 (median: 11 days) and number 6 (median: 19 days) are reported from second level to the third level respectively in a shorter time. Independent variables such as distance, local malaria transmission level, and case finding type, are the factors affecting the reporting delay. Conclusion: Reporting in the first level compared to the second level is done with lower delay. In the areas where there is a deadline set for reporting, reporting is done more timely. Whatever number of malaria cases is decreased, sensitivity and subsequently timeliness reduced. It is recommended that the studies of timeliness be done with sensitivity and usefulness analysis of surveillance system. PMID:23515191

  9. System specification for the integrated monitoring and surveillance system

    SciTech Connect

    1997-09-01

    This System Specification establishes the requirements for the Plutonium Focus Area (PFA) Integrated Monitoring and Surveillance System (IMSS). In this document, ``Integrated Monitoring and Surveillance System`` is used to describe the concept of integrated sensors, computers, personnel, and systems that perform the functions of sensing conditions, acquiring data, monitoring environmental safety and health, controlling and accounting for materials, monitoring material stability, monitoring container integrity, transferring data, and analyzing, reporting, and storing data. This concept encompasses systems (e.g. sensors, personnel, databases, etc.) that are already in place at the sites but may require modifications or additions to meet all identified surveillance requirements. The purpose of this System Specification is to provide Department of Energy (DOE) sites that store plutonium materials with a consolidation of all known requirements for the storage and surveillance of 3013 packages of stabilized plutonium metals and oxides. This compilation may be used (1) as a baseline for surveillance system design specifications where 3013 packages of stabilized plutonium metals and oxides will be stored and monitored; (2) as a checklist for evaluating existing surveillance systems to ensure that all requirements are met for the storage and surveillance of 3013 packages of stabilized plutonium metals and oxides; and (3) as a baseline for preparing procurement specifications tailored for site specific storage and surveillance of 3013 packages of stabilized plutonium metals and oxides.

  10. Trends in Major Risk Factors for Cardiovascular Disease Among Adults in the Mississippi Delta Region, Mississippi Behavioral Risk Factor Surveillance System, 2001–2010

    PubMed Central

    Vargas, Rodolfo

    2015-01-01

    Introduction The prevalences of major modifiable risk factors for cardiovascular disease (CVD) are disproportionately high in the 18-county Mississippi Delta region, and many of these risk factors disproportionately affect blacks. Temporal trends in the prevalence of CVD risk factors in the Mississippi Delta have not been determined. We examined trends in CVD risk factors from 2001 to 2010 in the region. Methods Longitudinal trends in prevalence of high blood pressure, high cholesterol, diabetes, obesity, physical inactivity, and current smoking were investigated using self-reported data from the Behavioral Risk Factor Surveillance System. Joinpoint regression models were used to examine annual percentage change (APC) in the prevalence of these risk factors. Results Overall, from 2001 to 2010, we observed significant increases in the prevalence of high cholesterol (APC, 4.22%), obesity (APC, 3.65%), and diabetes (APC, 3.54%). Among blacks, we found significant increases in the prevalence of high cholesterol (APC, 3.41%), obesity (APC, 3.48%), and diabetes (APC, 4.96%). Among whites, we found significant increases in high blood pressure (APC, 2.18%), high cholesterol (APC, 4.78%), obesity (APC, 4.18%), and physical inactivity (APC, 3.06%). We also observed a significant decrease in smoking among whites (APC, −1.99%). Conclusion From 2001 to 2010, we found a significant increase in the prevalence of high cholesterol, diabetes, and obesity in the Mississippi Delta. We also observed racial differences in those prevalences. PMID:25695259

  11. Trends in major risk factors for cardiovascular disease among adults in the Mississippi Delta region, Mississippi Behavioral Risk Factor Surveillance System, 2001-2010.

    PubMed

    Mendy, Vincent L; Vargas, Rodolfo

    2015-02-19

    The prevalences of major modifiable risk factors for cardiovascular disease (CVD) are disproportionately high in the 18-county Mississippi Delta region, and many of these risk factors disproportionately affect blacks. Temporal trends in the prevalence of CVD risk factors in the Mississippi Delta have not been determined. We examined trends in CVD risk factors from 2001 to 2010 in the region. Longitudinal trends in prevalence of high blood pressure, high cholesterol, diabetes, obesity, physical inactivity, and current smoking were investigated using self-reported data from the Behavioral Risk Factor Surveillance System. Joinpoint regression models were used to examine annual percentage change (APC) in the prevalence of these risk factors. Overall, from 2001 to 2010, we observed significant increases in the prevalence of high cholesterol (APC, 4.22%), obesity (APC, 3.65%), and diabetes (APC, 3.54%). Among blacks, we found significant increases in the prevalence of high cholesterol (APC, 3.41%), obesity (APC, 3.48%), and diabetes (APC, 4.96%). Among whites, we found significant increases in high blood pressure (APC, 2.18%), high cholesterol (APC, 4.78%), obesity (APC, 4.18%), and physical inactivity (APC, 3.06%). We also observed a significant decrease in smoking among whites (APC, -1.99%). From 2001 to 2010, we found a significant increase in the prevalence of high cholesterol, diabetes, and obesity in the Mississippi Delta. We also observed racial differences in those prevalences.

  12. Health & Demographic Surveillance System Profile: The Rufiji Health and Demographic Surveillance System (Rufiji HDSS).

    PubMed

    Mrema, Sigilbert; Kante, Almamy M; Levira, Francis; Mono, Amaniel; Irema, Kahema; de Savigny, Don; Masanja, Honorati

    2015-04-01

    The Rufiji Health and Demographic Surveillance System (HDSS) was established in October 1998 to evaluate the impact on burden of disease of health system reforms based on locally generated data, prioritization, resource allocation and planning for essential health interventions. The Rufiji HDSS collects detailed information on health and survival and provides a framework for population-based health research of relevance to local and national health priorities.In December 2012 the population under surveillance was about 105,503 people, residing in 19,315 households. Monitoring of households and members within households is undertaken in regular 6-month cycles known as 'rounds'. Self reported information is collected on demographic, household, socioeconomic and geographical characteristics. Verbal autopsy is conducted using standardized questionnaires, to determine probable causes of death. In conjunction with core HDSS activities, the ongoing studies in Rufiji HDSS focus on maternal and new-born health, evaluation of safety of artemether-lumefantrine (AL) exposure in early pregnancy and the clinical safety of a fixed dose of dihydroartemisinin-piperaquine (DHA-PQP) in the community. Findings of studies conducted in Rufiji HDSS can be accessed at www.ihi.or.tz/IHI-Digital-Library.

  13. A global network for the control of snail-borne disease using satellite surveillance and geographic information systems.

    PubMed

    Malone, J B; Bergquist, N R; Huh, O K; Bavia, M E; Bernardi, M; El Bahy, M M; Fuentes, M V; Kristensen, T K; McCarroll, J C; Yilma, J M; Zhou, X N

    2001-04-27

    At a team residency sponsored by the Rockefeller Foundation in Bellagio, Italy, 10-14 April 2000 an organizational plan was conceived to create a global network of collaborating health workers and earth scientists dedicated to the development of computer-based models that can be used for improved control programs for schistosomiasis and other snail-borne diseases of medical and veterinary importance. The models will be assembled using GIS methods, global climate model data, sensor data from earth observing satellites, disease prevalence data, the distribution and abundance of snail hosts, and digital maps of key environmental factors that affect development and propagation of snail-borne disease agents. A work plan was developed for research collaboration and data sharing, recruitment of new contributing researchers, and means of access of other medical scientists and national control program managers to GIS models that may be used for more effective control of snail-borne disease. Agreement was reached on the use of compatible GIS formats, software, methods and data resources, including the definition of a 'minimum medical database' to enable seamless incorporation of results from each regional GIS project into a global model. The collaboration plan calls for linking a 'central resource group' at the World Health Organization, the Food and Agriculture Organization, Louisiana State University and the Danish Bilharziasis Laboratory with regional GIS networks to be initiated in Eastern Africa, Southern Africa, West Africa, Latin America and Southern Asia. An Internet site, www.gnosisGIS.org, (GIS Network On Snail-borne Infections with special reference to Schistosomiasis), has been initiated to allow interaction of team members as a 'virtual research group'. When completed, the site will point users to a toolbox of common resources resident on computers at member organizations, provide assistance on routine use of GIS health maps in selected national disease control

  14. Surveillance tools and strategies for animal diseases in a shifting climate context.

    PubMed

    Salman, Mo D

    2013-12-01

    Animal disease surveillance is watching an animal population closely to determine if a specific disease or a group of diseases makes an incursion so that a prior plan of action can be implemented. The purpose of this paper is to review existing tools and techniques for an animal disease-surveillance system that can incorporate the monitoring of climate factors and related data to enhance understanding of disease epidemiology. In recent decades, there has been interest in building information systems by combining various data sources for different purposes. Within the field of animal health, there have only been limited attempts at the integration of surveillance data with relevant climate conditions. Statistical techniques for data integration, however, have been explored and used by several disciplines. Clearly the application of available techniques for linking climate data with surveillance systems should be explored with the aim of facilitating prevention, mitigation, and adaptation responses in the surveillance setting around climate change and animal disease risks. Drawing on this wider body of work, three of the available techniques that can be utilized in the analysis of surveillance data with the available climate data sets are reviewed.

  15. Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation

    PubMed Central

    Rajic, Andrijana; Young, Ian; Robiadek, Katie; Pham, Mai T; Funk, Julie A

    2013-01-01

    Background The threat of a global pandemic posed by outbreaks of influenza H5N1 (1997) and Severe Acute Respiratory Syndrome (SARS, 2002), both diseases of zoonotic origin, provoked interest in improving early warning systems and reinforced the need for combining data from different sources. It led to the use of search query data from search engines such as Google and Yahoo! as an indicator of when and where influenza was occurring. This methodology has subsequently been extended to other diseases and has led to experimentation with new types of social media for disease surveillance. Objective The objective of this scoping review was to formally assess the current state of knowledge regarding the use of search queries and social media for disease surveillance in order to inform future work on early detection and more effective mitigation of the effects of foodborne illness. Methods Structured scoping review methods were used to identify, characterize, and evaluate all published primary research, expert review, and commentary articles regarding the use of social media in surveillance of infectious diseases from 2002-2011. Results Thirty-two primary research articles and 19 reviews and case studies were identified as relevant. Most relevant citations were peer-reviewed journal articles (29/32, 91%) published in 2010-11 (28/32, 88%) and reported use of a Google program for surveillance of influenza. Only four primary research articles investigated social media in the context of foodborne disease or gastroenteritis. Most authors (21/32 articles, 66%) reported that social media-based surveillance had comparable performance when compared to an existing surveillance program. The most commonly reported strengths of social media surveillance programs included their effectiveness (21/32, 66%) and rapid detection of disease (21/32, 66%). The most commonly reported weaknesses were the potential for false positive (16/32, 50%) and false negative (11/32, 34%) results. Most

  16. Scoping review on search queries and social media for disease surveillance: a chronology of innovation.

    PubMed

    Bernardo, Theresa Marie; Rajic, Andrijana; Young, Ian; Robiadek, Katie; Pham, Mai T; Funk, Julie A

    2013-07-18

    The threat of a global pandemic posed by outbreaks of influenza H5N1 (1997) and Severe Acute Respiratory Syndrome (SARS, 2002), both diseases of zoonotic origin, provoked interest in improving early warning systems and reinforced the need for combining data from different sources. It led to the use of search query data from search engines such as Google and Yahoo! as an indicator of when and where influenza was occurring. This methodology has subsequently been extended to other diseases and has led to experimentation with new types of social media for disease surveillance. The objective of this scoping review was to formally assess the current state of knowledge regarding the use of search queries and social media for disease surveillance in order to inform future work on early detection and more effective mitigation of the effects of foodborne illness. Structured scoping review methods were used to identify, characterize, and evaluate all published primary research, expert review, and commentary articles regarding the use of social media in surveillance of infectious diseases from 2002-2011. Thirty-two primary research articles and 19 reviews and case studies were identified as relevant. Most relevant citations were peer-reviewed journal articles (29/32, 91%) published in 2010-11 (28/32, 88%) and reported use of a Google program for surveillance of influenza. Only four primary research articles investigated social media in the context of foodborne disease or gastroenteritis. Most authors (21/32 articles, 66%) reported that social media-based surveillance had comparable performance when compared to an existing surveillance program. The most commonly reported strengths of social media surveillance programs included their effectiveness (21/32, 66%) and rapid detection of disease (21/32, 66%). The most commonly reported weaknesses were the potential for false positive (16/32, 50%) and false negative (11/32, 34%) results. Most authors (24/32, 75%) recommended that

  17. NASA's Systems Engineering Approaches for Addressing Public Health Surveillance Requirements

    NASA Technical Reports Server (NTRS)

    Vann, Timi

    2003-01-01

    NASA's systems engineering has its heritage in space mission analysis and design, including the end-to-end approach to managing every facet of the extreme engineering required for successful space missions. NASA sensor technology, understanding of remote sensing, and knowledge of Earth system science, can be powerful new tools for improved disease surveillance and environmental public health tracking. NASA's systems engineering framework facilitates the match between facilitates the match between partner needs and decision support requirements in the areas of 1) Science/Data; 2) Technology; 3) Integration. Partnerships between NASA and other Federal agencies are diagrammed in this viewgraph presentation. NASA's role in these partnerships is to provide systemic and sustainable solutions that contribute to the measurable enhancement of a partner agency's disease surveillance efforts.

  18. Evaluation of Local Media Surveillance for Improved Disease Recognition and Monitoring in Global Hotspot Regions

    PubMed Central

    Schwind, Jessica S.; Wolking, David J.; Brownstein, John S.; Mazet, Jonna A. K.; Smith, Woutrina A.

    2014-01-01

    Digital disease detection tools are technologically sophisticated, but dependent on digital information, which for many areas suffering from high disease burdens is simply not an option. In areas where news is often reported in local media with no digital counterpart, integration of local news information with digital surveillance systems, such as HealthMap (Boston Children’s Hospital), is critical. Little research has been published in regards to the specific contribution of local health-related articles to digital surveillance systems. In response, the USAID PREDICT project implemented a local media surveillance (LMS) pilot study in partner countries to monitor disease events reported in print media. This research assessed the potential of LMS to enhance digital surveillance reach in five low- and middle-income countries. Over 16 weeks, select surveillance system attributes of LMS, such as simplicity, flexibility, acceptability, timeliness, and stability were evaluated to identify strengths and weaknesses in the surveillance method. Findings revealed that LMS filled gaps in digital surveillance network coverage by contributing valuable localized information on disease events to the global HealthMap database. A total of 87 health events were reported through the LMS pilot in the 16-week monitoring period, including 71 unique reports not found by the HealthMap digital detection tool. Furthermore, HealthMap identified an additional 236 health events outside of LMS. It was also observed that belief in the importance of the project and proper source selection from the participants was crucial to the success of this method. The timely identification of disease outbreaks near points of emergence and the recognition of risk factors associated with disease occurrence continue to be important components of any comprehensive surveillance system for monitoring disease activity across populations. The LMS method, with its minimal resource commitment, could be one tool used

  19. Evaluation of local media surveillance for improved disease recognition and monitoring in global hotspot regions.

    PubMed

    Schwind, Jessica S; Wolking, David J; Brownstein, John S; Mazet, Jonna A K; Smith, Woutrina A

    2014-01-01

    Digital disease detection tools are technologically sophisticated, but dependent on digital information, which for many areas suffering from high disease burdens is simply not an option. In areas where news is often reported in local media with no digital counterpart, integration of local news information with digital surveillance systems, such as HealthMap (Boston Children's Hospital), is critical. Little research has been published in regards to the specific contribution of local health-related articles to digital surveillance systems. In response, the USAID PREDICT project implemented a local media surveillance (LMS) pilot study in partner countries to monitor disease events reported in print media. This research assessed the potential of LMS to enhance digital surveillance reach in five low- and middle-income countries. Over 16 weeks, select surveillance system attributes of LMS, such as simplicity, flexibility, acceptability, timeliness, and stability were evaluated to identify strengths and weaknesses in the surveillance method. Findings revealed that LMS filled gaps in digital surveillance network coverage by contributing valuable localized information on disease events to the global HealthMap database. A total of 87 health events were reported through the LMS pilot in the 16-week monitoring period, including 71 unique reports not found by the HealthMap digital detection tool. Furthermore, HealthMap identified an additional 236 health events outside of LMS. It was also observed that belief in the importance of the project and proper source selection from the participants was crucial to the success of this method. The timely identification of disease outbreaks near points of emergence and the recognition of risk factors associated with disease occurrence continue to be important components of any comprehensive surveillance system for monitoring disease activity across populations. The LMS method, with its minimal resource commitment, could be one tool used to

  20. The collaborative experience of creating the National Capital Region Disease Surveillance Network.

    PubMed

    Lewis, Sheri H; Holtry, Rekha S; Loschen, Wayne A; Wojcik, Richard; Hung, Lang; Lombardo, Joseph

    2011-01-01

    The Johns Hopkins University Applied Physics Laboratory (JHU/APL) implemented state and district surveillance nodes in a central aggregated node in the National Capital Region (NCR). Within this network, de-identified health information is integrated with other indicator data and is made available to local and state health departments for enhanced disease surveillance. Aggregated data made available to the central node enable public health practitioners to observe abnormal behavior of health indicators spanning jurisdictions and view geographical spread of outbreaks across regions.Forming a steering committee, the NCR Enhanced Surveillance Operating Group (ESOG), was key to overcoming several data-sharing issues. The committee was composed of epidemiologists and key public health practitioners from the 3 jurisdictions. The ESOG facilitated early system development and signing of the cross-jurisdictional data-sharing agreement. This agreement was the first of its kind at the time and provided the legal foundation for sharing aggregated health information across state/district boundaries for electronic disease surveillance.Electronic surveillance system for the early notification of community-based epidemics provides NCR users with a comprehensive regional view to ascertain the spread of disease, estimate resource needs, and implement control measures. This article aims to describe the creation of the NCR Disease Surveillance Network as an exceptional example of cooperation and potential that exists for regional surveillance activities.

  1. Low-Cost Instant Surveillance System

    NASA Astrophysics Data System (ADS)

    Prokoski, Francine J.

    1983-06-01

    A low-cost, battery-operated surveillance system was developed for use in international nuclear safeguards. The resulting system utilizes components of the commercial Polavision instant movie system to provide single-frame color or black/white images which are automatically developed and displayed by a portable Polavision Player whenever it is desired to stop and view the film. The system is designed for long-term unattended use, triggered by a timer or other input signal. To provide positive assurance of continuing operation, a self-diagnostic module was designed to detect the most common failure modes and transmit real-time status data to a remote location. The resulting system provides a low-cost surveillance capability which may be useful in various law enforcement applications.

  2. Domestic violence surveillance system:a model

    PubMed Central

    Espinosa, Rafael; Gutiérrez, María Isabel; Mena-Muñoz, Jorge Humberto; Córdoba, Patricia

    2010-01-01

    Objective To develop a domestic violence surveillance system. Material and Methods The strategies included implementation of a standard digitalized reporting and analysis system along with advocacy with community decision makers, strengthening inter-institutional attention networks, consultation for constructing internal flow charts, sensitizing and training network teams in charge of providing health care in cases of domestic violence and supporting improved public policy prevention initiatives. Results A total of 6 893 cases were observed using 2004 and 2005 surveillance system data. The system reports that 80% of the affected were women, followed by 36% children under 14 years. The identified aggressors were mainly females' partners. The system was useful for improving victim services. Conclusions Findings indicate that significant gains were made in facilitating the attention and treatment of victims of domestic violence, improving the procedural response process and enhancing the quality of information provided to policy-making bodies. PMID:18373003

  3. A Best Practices Model for Implementing Successful Electronic Disease Surveillance Systems: Insights from Peru and Around the Globe

    DTIC Science & Technology

    2013-06-03

    captured by the following research participants’ comment: y pensar siempre que el sistema opera gracias a las personas que estan en las unidades ...integration of the system into the organization was unlikely to occur (Int 1). As one research participant explained, De nada sirve implementar un sistema ...notificantes, ellos son las elementos clave para el exito del sistema . (Int 21) 104 [English translation:] Always think that the system works because

  4. Mosquito-borne disease surveillance by the European Centre for Disease Prevention and Control.

    PubMed

    Zeller, H; Marrama, L; Sudre, B; Van Bortel, W; Warns-Petit, E

    2013-08-01

    For a few years, a series of traditionally tropical mosquito-borne diseases, such as chikungunya fever and dengue, have posed challenges to national public health authorities in the European region. Other diseases have re-emerged, e.g. malaria in Greece, or spread to other countries, e.g. West Nile fever. These diseases are reportable within the European Union (EU), and the European Centre for Disease Prevention and Control collects information in various ways to provide EU member states with topical assessments of disease threats, risks and trends for prompt and appropriate public health action. Using disease-specific expert networks, the European Surveillance System (TESSy) collects standardized comparable information on all statutory communicable diseases in a database. In addition, the event-based surveillance aims to detect potential public health threats early, and to allow timely response and support to blood deferral decisions for pathogens that can be transmitted through blood donation. Laboratory capacity for early detection is implemented through external quality assessments. Other activities include the development of guidelines for the surveillance of mosquito vectors, and the production of regularly updated maps on the currently known occurrence of mosquito vector species.

  5. Surveillance for foodborne disease outbreaks - United States, 1998-2008.

    PubMed

    Gould, L Hannah; Walsh, Kelly A; Vieira, Antonio R; Herman, Karen; Williams, Ian T; Hall, Aron J; Cole, Dana

    2013-06-28

    Foodborne diseases cause an estimated 48 million illnesses each year in the United States, including 9.4 million caused by known pathogens. Foodborne disease outbreak surveillance provides valuable insights into the agents and foods that cause illness and the settings in which transmission occurs. CDC maintains a surveillance program for collection and periodic reporting of data on the occurrence and causes of foodborne disease outbreaks in the United States. This surveillance system is the primary source of national data describing the numbers of illnesses, hospitalizations, and deaths; etiologic agents; implicated foods; contributing factors; and settings of food preparation and consumption associated with recognized foodborne disease outbreaks in the United States. 1998-2008. The Foodborne Disease Outbreak Surveillance System collects data on foodborne disease outbreaks, defined as the occurrence of two or more cases of a similar illness resulting from the ingestion of a common food. Public health agencies in all 50 states, the District of Columbia, U.S. territories, and Freely Associated States have primary responsibility for identifying and investigating outbreaks and use a standard form to report outbreaks voluntarily to CDC. During 1998-2008, reporting was made through the electronic Foodborne Outbreak Reporting System (eFORS). During 1998-2008, CDC received reports of 13,405 foodborne disease outbreaks, which resulted in 273,120 reported cases of illness, 9,109 hospitalizations, and 200 deaths. Of the 7,998 outbreaks with a known etiology, 3,633 (45%) were caused by viruses, 3,613 (45%) were caused by bacteria, 685 (5%) were caused by chemical and toxic agents, and 67 (1%) were caused by parasites. Among the 7,724 (58%) outbreaks with an implicated food or contaminated ingredient reported, 3,264 (42%) could be assigned to one of 17 predefined commodity categories: fish, crustaceans, mollusks, dairy, eggs, beef, game, pork, poultry, grains/beans, oils

  6. Laser surveillance system for spent fuel

    SciTech Connect

    Fiarman, S; Zucker, M S; Bieber, Jr, A M

    1980-01-01

    A laser surveillance system installed at spent fuel storage pools will provide the safeguard inspector with specific knowledge of spent fuel movement that cannot be obtained with current surveillance systems. The laser system will allow for the division of the pool's spent fuel inventory into two populations - those assemblies which have been moved and those which haven't - which is essential for maximizing the efficiency and effectiveness of the inspection effort. We have designed, constructed, and tested a laser system and have used it with a simulated BWR assembly. The reflected signal from the zircaloy rods depends on the position of the assembly, but in all cases is easily discernable from the reference scan of background with no assembly.

  7. Surveillance for Certain Health Behaviors, Chronic Diseases, and Conditions, Access to Health Care, and Use of Preventive Health Services Among States and Selected Local Areas
- Behavioral Risk Factor Surveillance System, United States, 2012.

    PubMed

    Chowdhury, Pranesh P; Mawokomatanda, Tebitha; Xu, Fang; Gamble, Sonya; Flegel, David; Pierannunzi, Carol; Garvin, William; Town, Machell

    2016-04-29

    Chronic diseases (e.g., heart diseases, cancer, chronic lower respiratory disease, stroke, diabetes, and arthritis) and unintentional injuries are the leading causes of morbidity and mortality in the United States. Behavioral risk factors (e.g., tobacco use, poor diet, physical inactivity, excessive alcohol consumption, failure to use seat belts, and insufficient sleep) are linked to the leading causes of death. Modifying these behavioral risk factors and using preventive health services (e.g., cancer screenings and influenza and pneumococcal vaccination of adults aged ≥65 years) can substantially reduce morbidity and mortality in the U.S. Continuous monitoring of these health-risk behaviors, chronic conditions, and use of preventive services are essential to the development of health promotion strategies, intervention programs, and health policies at the state, city, and county level. January-December 2012. The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services related to the leading causes of death and disability. This report presents results for all 50 states, the District of Columbia, participating U.S. territories that include the Commonwealth of Puerto Rico (Puerto Rico) and Guam, 187 Metropolitan/Micropolitan Statistical Areas (MMSAs), and 210 counties (n = 475,687 survey respondents) for the year 2012. In 2012, the estimated prevalence of health-risk behaviors, chronic diseases or conditions, access to health care, and use of preventive health services substantially varied by state and territory, MMSA, and county. The following portion of the abstract lists a summary of results by selected BRFSS measures. Each set of proportions refers to the range of

  8. Emerging Infectious Diseases in Free-Ranging Wildlife–Australian Zoo Based Wildlife Hospitals Contribute to National Surveillance

    PubMed Central

    Cox-Witton, Keren; Reiss, Andrea; Woods, Rupert; Grillo, Victoria; Baker, Rupert T.; Blyde, David J.; Boardman, Wayne; Cutter, Stephen; Lacasse, Claude; McCracken, Helen; Pyne, Michael; Smith, Ian; Vitali, Simone; Vogelnest, Larry; Wedd, Dion; Phillips, Martin; Bunn, Chris; Post, Lyndel

    2014-01-01

    Emerging infectious diseases are increasingly originating from wildlife. Many of these diseases have significant impacts on human health, domestic animal health, and biodiversity. Surveillance is the key to early detection of emerging diseases. A zoo based wildlife disease surveillance program developed in Australia incorporates disease information from free-ranging wildlife into the existing national wildlife health information system. This program uses a collaborative approach and provides a strong model for a disease surveillance program for free-ranging wildlife that enhances the national capacity for early detection of emerging diseases. PMID:24787430

  9. Emerging infectious diseases in free-ranging wildlife-Australian zoo based wildlife hospitals contribute to national surveillance.

    PubMed

    Cox-Witton, Keren; Reiss, Andrea; Woods, Rupert; Grillo, Victoria; Baker, Rupert T; Blyde, David J; Boardman, Wayne; Cutter, Stephen; Lacasse, Claude; McCracken, Helen; Pyne, Michael; Smith, Ian; Vitali, Simone; Vogelnest, Larry; Wedd, Dion; Phillips, Martin; Bunn, Chris; Post, Lyndel

    2014-01-01

    Emerging infectious diseases are increasingly originating from wildlife. Many of these diseases have significant impacts on human health, domestic animal health, and biodiversity. Surveillance is the key to early detection of emerging diseases. A zoo based wildlife disease surveillance program developed in Australia incorporates disease information from free-ranging wildlife into the existing national wildlife health information system. This program uses a collaborative approach and provides a strong model for a disease surveillance program for free-ranging wildlife that enhances the national capacity for early detection of emerging diseases.

  10. Launching a National Surveillance System after an earthquake --- Haiti, 2010.

    PubMed

    2010-08-06

    On January 12, 2010, Haiti experienced a magnitude-7.0 earthquake; Haitian government officials estimated that 230,000 persons died and 300,000 were injured. At the time, Haiti had no system capable of providing timely surveillance on a wide range of health conditions. Within 2 weeks, Haiti's Ministry of Public Health and Population (MSPP), the Pan-American Health Organization (PAHO), CDC, and other national and international agencies launched the National Sentinel Site Surveillance (NSSS) System. The objectives were to monitor disease trends, detect outbreaks, and characterize the affected population to target relief efforts. Fifty-one hospital and clinic surveillance sites affiliated with the U.S. President's Emergency Plan for AIDS Relief (PEPFAR) were selected to report daily counts by e-mail or telephone for 25 specified reportable conditions. During January 25-April 24, 2010, a total of 42,361 persons had a reportable condition; of these, 54.5% were female, and 32.6% were aged <5 years. Nationally, the three most frequently reported specified conditions were acute respiratory infection (ARI) (16.3%), suspected malaria (10.3%), and fever of unknown cause (10.0%). Injuries accounted for 12.0% of reported conditions. No epidemics or disease clusters were detected. The number of reports decreased over time. NSSS is ongoing and currently transitioning into becoming a long-term national surveillance system for Haiti. NSSS data could assist decision makers in allocation of resources and identifying effective public health interventions. However, data reporting and quality could be improved by additional surveillance education for health-care providers, laboratory confirmation of cases of disease, and Internet-based weekly reporting.

  11. Systems pharmacology augments drug safety surveillance.

    PubMed

    Lorberbaum, T; Nasir, M; Keiser, M J; Vilar, S; Hripcsak, G; Tatonetti, N P

    2015-02-01

    Small molecule drugs are the foundation of modern medical practice, yet their use is limited by the onset of unexpected and severe adverse events (AEs). Regulatory agencies rely on postmarketing surveillance to monitor safety once drugs are approved for clinical use. Despite advances in pharmacovigilance methods that address issues of confounding bias, clinical data of AEs are inherently noisy. Systems pharmacology-the integration of systems biology and chemical genomics-can illuminate drug mechanisms of action. We hypothesize that these data can improve drug safety surveillance by highlighting drugs with a mechanistic connection to the target phenotype (enriching true positives) and filtering those that do not (depleting false positives). We present an algorithm, the modular assembly of drug safety subnetworks (MADSS), to combine systems pharmacology and pharmacovigilance data and significantly improve drug safety monitoring for four clinically relevant adverse drug reactions.

  12. A New Molecular Surveillance System for Leishmaniasis

    PubMed Central

    Pandey, Kishor; Pandey, Basu Dev; Mallik, Arun Kumar; Acharya, Jyoti; Kato, Kentaro; Kaneko, Osamu; Ferreira, Pedro Eduardo

    2014-01-01

    Abstract. Presently, global efforts are being made to control and eradicate the deadliest tropical diseases through the improvement of adequate interventions. A critical point for programs to succeed is the prompt and accurate diagnosis in endemic regions. Rapid diagnostic tests (RDTs) are being massively deployed and used to improve diagnosis in tropical countries. In the present report, we evaluated the hypothesis of, after use for diagnosis, the reuse of the Leishmania RDT kit as a DNA source, which can be used downstream as a molecular surveillance and/or quality control tool. As a proof of principle, a polymerase chain reaction-based method was used to detect Leishmania spp. minicircle kinetoplast DNA from leishmaniasis RDT kits. Our results show that Leishmania spp. DNA can be extracted from used RDTs and may constitute an important, reliable, and affordable tool to assist in future leishmaniasis molecular surveillance methods. PMID:24752687

  13. Integration of animal health, food pathogen and foodborne disease surveillance in the Americas.

    PubMed

    Hulebak, K; Rodricks, J; Smith DeWaal, C

    2013-08-01

    This paper describes the characteristics of surveillance and the attempts made in the Americas to institute truly integrated surveillance systems that bring together disease surveillance of medically treated clinical populations with disease surveillance for food-production animals. Characteristics of an ideal, integrated food safety system are described. Systematic surveillance programmes in the Americas vary widely in scope and reliability, and none is fully integrated. Estimates of foodborne disease rates, particularly in North America, are becoming increasingly accurate, and programmes such as those promoted by the Pan American Health Organization are gradually leading to improvements in estimates of the foodborne disease burden in Latin America. Linking foodborne diseases to their sources is necessary for reducing disease incidence, and the World Health Organization's Global Foodborne Infections Network is building global capacity in this area. Activities in these areas in the Americas are described in detail. There is now clear recognition that there are dynamic links between infectious diseases occurring in wildlife and livestock and those occurring in humans, and this has led to calls from organisations such as the US National Academy of Sciences and the American Veterinary Medical Association to integrate surveillance programmes for zoonotic and human diseases. Models for the development of such integrated programmes, at local, national and international levels, are described. To be effective, such models must incorporate programmes to capture information from numerous, discrete surveillance systems in a way that allows rapid analysis to identify zoonotic and human disease connections. No effective integration now exists, but there are signals that governments in the Americas are working together towards this goal.

  14. Text messaging app improves disease surveillance in rural South Sudan

    PubMed Central

    Buesseler, Heather M.

    2016-01-01

    Background In South Sudan, remote health facilities face challenges in submitting weekly surveillance reports for epidemic-prone diseases due to long distances and difficult terrain health workers must cover to hand-deliver paper reports. Not only are patients unable to access care while health workers are away, identification of and timely response to an infectious disease outbreak is hampered. Methods Data journey mapping with stakeholders was conducted in three counties in Eastern Equatoria State to inform an appropriate mHealth solution. A short message service (SMS) application was selected because it did not require internet connection and only needed minimal equipment investments. The SMS app was designed using open source Android software due to low set-up and maintenance costs. Health facility staffs use personal phones to send an SMS in a predetermined format to the County Health Department (CHD) Android phone base. CHD staff review data; once verified, CHD exports the data to existing health information system software for onward submission to the State Ministry of Health (SMOH). To engender perceived value and incentive use, health workers must use personal airtime to send the SMS; they receive a bonus if they submit reports on time. For long-term sustainability of the system, CHDs have incorporated system maintenance costs into their monthly budgets. Results Eighty-nine health workers and 21 CHD staff were trained to use the SMS app. They found the innovation interesting and easy to use. All three counties increased on-time submissions upon introduction of the app. The predefined SMS template is important for data accuracy. Availability of a dedicated CHD staff and mobile network coverage in the most remote areas present ongoing challenges to timely report submissions in some counties. CHDs declare the SMS app has revolutionized weekly disease surveillance reporting in their counties. Eastern Equatoria SMOH has requested scale up of this app to all

  15. Text messaging app improves disease surveillance in rural South Sudan.

    PubMed

    Yugi, James; Buesseler, Heather M

    2016-01-01

    In South Sudan, remote health facilities face challenges in submitting weekly surveillance reports for epidemic-prone diseases due to long distances and difficult terrain health workers must cover to hand-deliver paper reports. Not only are patients unable to access care while health workers are away, identification of and timely response to an infectious disease outbreak is hampered. Data journey mapping with stakeholders was conducted in three counties in Eastern Equatoria State to inform an appropriate mHealth solution. A short message service (SMS) application was selected because it did not require internet connection and only needed minimal equipment investments. The SMS app was designed using open source Android software due to low set-up and maintenance costs. Health facility staffs use personal phones to send an SMS in a predetermined format to the County Health Department (CHD) Android phone base. CHD staff review data; once verified, CHD exports the data to existing health information system software for onward submission to the State Ministry of Health (SMOH). To engender perceived value and incentive use, health workers must use personal airtime to send the SMS; they receive a bonus if they submit reports on time. For long-term sustainability of the system, CHDs have incorporated system maintenance costs into their monthly budgets. Eighty-nine health workers and 21 CHD staff were trained to use the SMS app. They found the innovation interesting and easy to use. All three counties increased on-time submissions upon introduction of the app. The predefined SMS template is important for data accuracy. Availability of a dedicated CHD staff and mobile network coverage in the most remote areas present ongoing challenges to timely report submissions in some counties. CHDs declare the SMS app has revolutionized weekly disease surveillance reporting in their counties. Eastern Equatoria SMOH has requested scale up of this app to all counties of the state

  16. Surveillance for Waterborne Disease Outbreaks and Other Health Events Associated with Recreational Water -United States, 2007-2008

    EPA Science Inventory

    Background: Since 1978, CDC, EPA, and the Council of State and Territorial Epidemiologists have collaborated on the Waterborne Disease and Outbreak Surveillance System (WBDOSS) to capture data on waterborne disease outbreaks associated with recreational water. WBDOSS is the prima...

  17. Surveillance for Waterborne Disease Outbreaks and Other Health Events Associated with Recreational Water -United States, 2007-2008

    EPA Science Inventory

    Background: Since 1978, CDC, EPA, and the Council of State and Territorial Epidemiologists have collaborated on the Waterborne Disease and Outbreak Surveillance System (WBDOSS) to capture data on waterborne disease outbreaks associated with recreational water. WBDOSS is the prima...

  18. Reconciling surveillance systems with limited resources: an evaluation of passive surveillance for rabies in an endemic setting.

    PubMed

    Craighead, Laura; Gilbert, William; Subasinghe, Dynatra; Häsler, Barbara

    2015-10-01

    Surveillance systems for rabies in endemic regions are often subject to severe constraints in terms of resources. The World Organisation for Animal Health (OIE) and the World Health Organisation (WHO) propose the use of an active surveillance system to substantiate claims of disease freedom, including rabies. However, many countries do not have the resources to establish active surveillance systems for rabies and the testing of dead dogs poses logistical challenges. This paper explores the potential of using a scenario tree model parameterised with data collected via questionnaires and interviews to estimate the sensitivity of passive surveillance, assessing its potential as a viable low-cost alternative to active surveillance systems. The results of this explorative study illustrated that given a large enough sample size, in this case the entire population of Colombo City, the sensitivity of passive surveillance can be 100% even at a low disease prevalence (0.1%), despite the low sensitivity of individual surveillance components (mean values in the range 4.077×10(-5)-1.834×10(-3) at 1% prevalence). In addition, logistic regression was used to identify factors associated with increased recognition of rabies in dogs and reporting of rabies suspect dogs. Increased recognition was observed amongst dog owners (OR 3.8 (CI, 1.3-10.8)), people previously bitten by dogs (OR 5.9 (CI, 2.2-15.9)) and people who believed they had seen suspect dogs in the past (OR 4.7 (CI, 1.8-12.9)). Increased likelihood of reporting suspect dogs was observed amongst dog owners (OR 5.3 (CI, 1.1-25)). Further work is required to validate the data collection tool and the assumptions made in the model with respect to sample size in order to develop a robust methodology for evaluating passive rabies surveillance.

  19. Surveillance systems for intermodal transportation

    NASA Astrophysics Data System (ADS)

    Jakovlev, Sergej; Voznak, Miroslav; Andziulis, Arunas

    2015-05-01

    Intermodal container monitoring is considered a major security issue in many major logistic companies and countries worldwide. Current representation of the problem, we face today, originated in 2002, right after the 9/11 attacks. Then, a new worldwide Container Security Initiative (CSI, 2002) was considered that shaped the perception of the transportation operations. Now more than 80 larger ports all over the world contribute to its further development and integration into everyday transportation operations and improve the regulations for the developing regions. Although, these new improvements allow us to feel safer and secure, constant management of transportation operations has become a very difficult problem for conventional data analysis methods and information systems. The paper deals with a proposal of a whole new concept for the improvement of the Containers Security Initiative (CSI) by virtually connecting safety, security processes and systems. A conceptual middleware approach with deployable intelligent agent modules is proposed to be used with possible scenarios and a testbed is used to test the solution. Middleware examples are visually programmed using National Instruments LabView software packages and Wireless sensor network hardware modules. An experimental software is used to evaluate he solution. This research is a contribution to the intermodal transportation and is intended to be used as a means or the development of intelligent transport systems.

  20. Surveillance for early detection of disease outbreaks at an outdoor mass gathering--Virginia, 2005.

    PubMed

    2006-01-27

    Implementing public health surveillance at mass gatherings might help detect outbreaks or possible acts of biologic terrorism and enable prompt public health intervention. In July 2005, a daily syndromic sentinel surveillance system was implemented to monitor disease and injury among approximately 43,000 youths and adults attending a 10-day camping event held every 4 years by a national youth organization. Camp activities began on July 25, 2005, and included events such as mountain boarding, rappelling, and whittling. This report describes public health surveillance and response activities during the 10-day event and presents recommendations for health surveillance at large outdoor events. Public health surveillance should be implemented at mass gatherings to facilitate rapid detection of outbreaks and other health-related events and enable public health teams to respond with timely control measures.

  1. Non-Communicable Disease Mortality and Risk Factors in Formal and Informal Neighborhoods, Ouagadougou, Burkina Faso: Evidence from a Health and Demographic Surveillance System

    PubMed Central

    Rossier, Clémentine; Soura, Abdramane Bassiahi; Duthé, Géraldine; Findley, Sally

    2014-01-01

    The expected growth in NCDs in cities is one of the most important health challenges of the coming decades in Sub-Saharan countries. This paper aims to fill the gap in our understanding of socio-economic differentials in NCD mortality and risk in low and middle income neighborhoods in urban Africa. We use data collected in the Ouagadougou Health and Demographic Surveillance System. 409 deaths were recorded between 2009–2011 among 20,836 individuals aged 35 years and older; verbal autopsies and the InterVA program were used to determine the probable cause of death. A random survey asked in 2011 1,039 adults aged 35 and over about tobacco use, heavy alcohol consumption, lack of physical activity and measured their weight, height, and blood pressure. These data reveal a high level of premature mortality due to NCDs in all neighborhoods: NCD mortality increases substantially by age 50. NCD mortality is greater in formal neighborhoods, while adult communicable disease mortality remains high, especially in informal neighborhoods. There is a high prevalence of risk factors for NCDs in the studied neighborhoods, with over one-fourth of the adults being overweight and over one-fourth having hypertension. Better-off residents are more prone to physical inactivity and excessive weight, while vulnerable populations such as widows/divorced individuals and migrants suffer more from higher blood pressure. Females have a significantly lower risk of being smokers or heavy drinkers, while they are more likely to be physically inactive or overweight, especially when married. Muslim individuals are less likely to be smokers or heavy drinkers, but have a higher blood pressure. Everything else being constant, individuals living in formal neighborhoods are more often overweight. The data presented make clear the pressing need to develop effective programs to reduce NCD risk across all types of neighborhoods in African cities, and suggest several entry points for community

  2. Future trends in compact TV surveillance systems

    SciTech Connect

    Gaertner, K.; Heaysman, B.; Vodrazka, P.

    1985-01-01

    Up to now the IAEA's Safeguards Surveillance Program has been based upon 8 mm film camera systems. As this type of equipment availability is controlled by the needs of the amateur market, the Agency is forced to follow the changing world trend in replacing film with video. The eventual substitution of film with video systems should be influenced by two design approaches, namely integrated systems, resembling physically the present film cameras, and/or remote camera-control unit systems. This paper describes experiments being carried out on both types by some Member States as well as the Agency's activities in this field.

  3. Surveillance for the prevention of chronic diseases through information association.

    PubMed

    Pollettini, Juliana Tarossi; Baranauskas, José Augusto; Ruiz, Evandro Seron; da Graça Pimentel, Maria; Macedo, Alessandra Alaniz

    2014-01-30

    Research on Genomic medicine has suggested that the exposure of patients to early life risk factors may induce the development of chronic diseases in adulthood, as the presence of premature risk factors can influence gene expression. The large number of scientific papers published in this research area makes it difficult for the healthcare professional to keep up with individual results and to establish association between them. Therefore, in our work we aim at building a computational system that will offer an innovative approach that alerts health professionals about human development problems such as cardiovascular disease, obesity and type 2 diabetes. We built a computational system called Chronic Illness Surveillance System (CISS), which retrieves scientific studies that establish associations (conceptual relationships) between chronic diseases (cardiovascular diseases, diabetes and obesity) and the risk factors described on clinical records. To evaluate our approach, we submitted ten queries to CISS as well as to three other search engines (Google™, Google Scholar™ and Pubmed®;) - the queries were composed of terms and expressions from a list of risk factors provided by specialists. CISS retrieved a higher number of closely related (+) and somewhat related (+/-) documents, and a smaller number of unrelated (-) and almost unrelated (-/+) documents, in comparison with the three other systems. The results from the Friedman's test carried out with the post-hoc Holm procedure (95% confidence) for our system (control) versus the results for the three other engines indicate that our system had the best performance in three of the categories (+), (-) and (+/-). This is an important result, since these are the most relevant categories for our users. Our system should be able to assist researchers and health professionals in finding out relationships between potential risk factors and chronic diseases in scientific papers.

  4. 17 CFR 38.156 - Automated trade surveillance system.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 17 Commodity and Securities Exchanges 1 2014-04-01 2014-04-01 false Automated trade surveillance... DESIGNATED CONTRACT MARKETS Compliance With Rules § 38.156 Automated trade surveillance system. A designated contract market must maintain an automated trade surveillance system capable of detecting and investigating...

  5. 17 CFR 38.156 - Automated trade surveillance system.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 17 Commodity and Securities Exchanges 1 2013-04-01 2013-04-01 false Automated trade surveillance... DESIGNATED CONTRACT MARKETS Compliance With Rules § 38.156 Automated trade surveillance system. A designated contract market must maintain an automated trade surveillance system capable of detecting and investigating...

  6. The Nigerian health care system: Need for integrating adequate medical intelligence and surveillance systems

    PubMed Central

    Welcome, Menizibeya Osain

    2011-01-01

    Objectives: As an important element of national security, public health not only functions to provide adequate and timely medical care but also track, monitor, and control disease outbreak. The Nigerian health care had suffered several infectious disease outbreaks year after year. Hence, there is need to tackle the problem. This study aims to review the state of the Nigerian health care system and to provide possible recommendations to the worsening state of health care in the country. To give up-to-date recommendations for the Nigerian health care system, this study also aims at reviewing the dynamics of health care in the United States, Britain, and Europe with regards to methods of medical intelligence/surveillance. Materials and Methods: Databases were searched for relevant literatures using the following keywords: Nigerian health care, Nigerian health care system, and Nigerian primary health care system. Additional keywords used in the search were as follows: United States (OR Europe) health care dynamics, Medical Intelligence, Medical Intelligence systems, Public health surveillance systems, Nigerian medical intelligence, Nigerian surveillance systems, and Nigerian health information system. Literatures were searched in scientific databases Pubmed and African Journals OnLine. Internet searches were based on Google and Search Nigeria. Results: Medical intelligence and surveillance represent a very useful component in the health care system and control diseases outbreak, bioattack, etc. There is increasing role of automated-based medical intelligence and surveillance systems, in addition to the traditional manual pattern of document retrieval in advanced medical setting such as those in western and European countries. Conclusion: The Nigerian health care system is poorly developed. No adequate and functional surveillance systems are developed. To achieve success in health care in this modern era, a system well grounded in routine surveillance and medical

  7. Enteric disease surveillance under the AFHSC-GEIS: Current efforts, landscape analysis and vision forward

    PubMed Central

    2011-01-01

    The mission of the Armed Forces Health Surveillance Center, Division of Global Emerging Infections Surveillance and Response System (AFHSC-GEIS) is to support global public health and to counter infectious disease threats to the United States Armed Forces, including newly identified agents or those increasing in incidence. Enteric diseases are a growing threat to U.S. forces, which must be ready to deploy to austere environments where the risk of exposure to enteropathogens may be significant and where routine prevention efforts may be impractical. In this report, the authors review the recent activities of AFHSC-GEIS partner laboratories in regards to enteric disease surveillance, prevention and response. Each partner identified recent accomplishments, including support for regional networks. AFHSC/GEIS partners also completed a Strengths, Weaknesses, Opportunities and Threats (SWOT) survey as part of a landscape analysis of global enteric surveillance efforts. The current strengths of this network include excellent laboratory infrastructure, equipment and personnel that provide the opportunity for high-quality epidemiological studies and test platforms for point-of-care diagnostics. Weaknesses include inconsistent guidance and a splintered reporting system that hampers the comparison of data across regions or longitudinally. The newly chartered Enterics Surveillance Steering Committee (ESSC) is intended to provide clear mission guidance, a structured project review process, and central data management and analysis in support of rationally directed enteric disease surveillance efforts. PMID:21388567

  8. Enteric disease surveillance under the AFHSC-GEIS: current efforts, landscape analysis and vision forward.

    PubMed

    Money, Nisha N; Maves, Ryan C; Sebeny, Peter; Kasper, Matthew R; Riddle, Mark S; Wu, Max; Lee, James E; Schnabel, David; Bowden, Robert; Oaks, Edwin V; Ocaña, Victor; Acosta, Luis; Gotuzzo, Eduardo; Lanata, Claudio; Ochoa, Theresa; Aguayo, Nicolás; Bernal, Maruja; Meza, Rina; Canal, Enrique; Gregory, Michael; Cepeda, David; Listiyaningsih, Erlin; Putnam, Shannon D; Young, Sylvia; Mansour, Adel; Nakhla, Isabelle; Moustafa, Manal; Hassan, Khaled; Klena, John; Bruton, Jody; Shaheen, Hind; Farid, Sami; Fouad, Salwa; El-Mohamady, Hanan; Styles, Timothy; Shiau, L C D R Danny; Espinosa, Benjamin; McMullen, Kellie; Reed, Eva; Neil, Donald; Searles, Doug; Nevin, Remington; Von Thun, Annette; Sessions, Cecili

    2011-03-04

    The mission of the Armed Forces Health Surveillance Center, Division of Global Emerging Infections Surveillance and Response System (AFHSC-GEIS) is to support global public health and to counter infectious disease threats to the United States Armed Forces, including newly identified agents or those increasing in incidence. Enteric diseases are a growing threat to U.S. forces, which must be ready to deploy to austere environments where the risk of exposure to enteropathogens may be significant and where routine prevention efforts may be impractical. In this report, the authors review the recent activities of AFHSC-GEIS partner laboratories in regards to enteric disease surveillance, prevention and response. Each partner identified recent accomplishments, including support for regional networks. AFHSC/GEIS partners also completed a Strengths, Weaknesses, Opportunities and Threats (SWOT) survey as part of a landscape analysis of global enteric surveillance efforts. The current strengths of this network include excellent laboratory infrastructure, equipment and personnel that provide the opportunity for high-quality epidemiological studies and test platforms for point-of-care diagnostics. Weaknesses include inconsistent guidance and a splintered reporting system that hampers the comparison of data across regions or longitudinally. The newly chartered Enterics Surveillance Steering Committee (ESSC) is intended to provide clear mission guidance, a structured project review process, and central data management and analysis in support of rationally directed enteric disease surveillance efforts.

  9. Performance Assessment of Communicable Disease Surveillance in Disasters: A Systematic Review

    PubMed Central

    Babaie, Javad; Ardalan, Ali; Vatandoost, Hasan; Goya, Mohammad Mehdi; Akbarisari, Ali

    2015-01-01

    Background: This study aimed to identify the indices and frameworks that have been used to assess the performance of communicable disease surveillance (CDS) in response to disasters and other emergencies, including infectious disease outbreaks. Method: In this systematic review, PubMed, Google Scholar, Scopus, ScienceDirect, ProQuest databases and grey literature were searched until the end of 2013. All retrieved titles were examined in accordance with inclusion criteria. Abstracts of the relevant titles were reviewed and eligible abstracts were included in a list for data abstraction. Finally, the study variables were extracted. Results: Sixteen articles and one book were found relevant to our study objectives. In these articles, 31 criteria and 35 indicators were used or suggested for the assessment/evaluation of the performance of surveillance systems in disasters. The Centers for Disease Control (CDC) updated guidelines for the evaluation of public health surveillance systems were the most widely used. Conclusion: Despite the importance of performance assessment in improving CDS in response to disasters, there is a lack of clear and accepted frameworks. There is also no agreement on the use of existing criteria and indices. The only relevant framework is the CDC guideline, which is a common framework for assessing public health surveillance systems as a whole. There is an urgent need to develop appropriate frameworks, criteria, and indices for specifically assessing the performance of CDS in response to disasters and other emergencies, including infectious diseases outbreaks. Key words: Disasters, Emergencies, Communicable Diseases, Surveillance System, Performance Assessment PMID:25774323

  10. Using Administrative Data to Ascertain True Cases of Muscular Dystrophy: Rare Disease Surveillance.

    PubMed

    Smith, Michael G; Royer, Julie; Mann, Joshua R; McDermott, Suzanne

    2017-01-12

    Administrative records from insurance and hospital discharge data sources are important public health tools to conduct passive surveillance of disease in populations. Identifying rare but catastrophic conditions is a challenge since approaches for maximizing valid case detection are not firmly established. The purpose of our study was to explore a number of algorithms in which International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and other administrative variables could be used to identify cases of muscular dystrophy (MD). We used active surveillance to identify possible cases of MD in medical practices in neurology, genetics, and orthopedics in 5 urban South Carolina counties and to identify the cases that had diagnostic support (ie, true cases). We then developed an algorithm to identify cases based on a combination of ICD-9-CM codes and administrative variables from a public (Medicaid) and private insurer claims-based system and a statewide hospital discharge dataset (passive surveillance). Cases of all types of MD and those with Duchenne or Becker MD (DBMD) that were common to both surveillance systems were examined to identify the most specific administrative variables for ascertainment of true cases. Passive statewide surveillance identified 3235 possible cases with MD in the state, and active surveillance identified 2057 possible cases in 5 actively surveilled counties that included 2 large metropolitan areas where many people seek medical care. There were 537 common cases found in both the active and passive systems, and 260 (48.4%) were confirmed by active surveillance to be true cases. Of the 260 confirmed cases, 70 (26.9%) were recorded as DBMD. Accuracy of finding a true case in a passive surveillance system was improved substantially when specific diagnosis codes, number of times a code was used, age of the patient, and specialty provider variables were used.

  11. Using Administrative Data to Ascertain True Cases of Muscular Dystrophy: Rare Disease Surveillance

    PubMed Central

    2017-01-01

    Background Administrative records from insurance and hospital discharge data sources are important public health tools to conduct passive surveillance of disease in populations. Identifying rare but catastrophic conditions is a challenge since approaches for maximizing valid case detection are not firmly established. Objective The purpose of our study was to explore a number of algorithms in which International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and other administrative variables could be used to identify cases of muscular dystrophy (MD). Methods We used active surveillance to identify possible cases of MD in medical practices in neurology, genetics, and orthopedics in 5 urban South Carolina counties and to identify the cases that had diagnostic support (ie, true cases). We then developed an algorithm to identify cases based on a combination of ICD-9-CM codes and administrative variables from a public (Medicaid) and private insurer claims-based system and a statewide hospital discharge dataset (passive surveillance). Cases of all types of MD and those with Duchenne or Becker MD (DBMD) that were common to both surveillance systems were examined to identify the most specific administrative variables for ascertainment of true cases. Results Passive statewide surveillance identified 3235 possible cases with MD in the state, and active surveillance identified 2057 possible cases in 5 actively surveilled counties that included 2 large metropolitan areas where many people seek medical care. There were 537 common cases found in both the active and passive systems, and 260 (48.4%) were confirmed by active surveillance to be true cases. Of the 260 confirmed cases, 70 (26.9%) were recorded as DBMD. Conclusions Accuracy of finding a true case in a passive surveillance system was improved substantially when specific diagnosis codes, number of times a code was used, age of the patient, and specialty provider variables were used

  12. Enabling analytical and Modeling Tools for Enhanced Disease Surveillance

    SciTech Connect

    Dawn K. Manley

    2003-04-01

    Early detection, identification, and warning are essential to minimize casualties from a biological attack. For covert attacks, sick people are likely to provide the first indication of an attack. An enhanced medical surveillance system that synthesizes distributed health indicator information and rapidly analyzes the information can dramatically increase the number of lives saved. Current surveillance methods to detect both biological attacks and natural outbreaks are hindered by factors such as distributed ownership of information, incompatible data storage and analysis programs, and patient privacy concerns. Moreover, because data are not widely shared, few data mining algorithms have been tested on and applied to diverse health indicator data. This project addressed both integration of multiple data sources and development and integration of analytical tools for rapid detection of disease outbreaks. As a first prototype, we developed an application to query and display distributed patient records. This application incorporated need-to-know access control and incorporated data from standard commercial databases. We developed and tested two different algorithms for outbreak recognition. The first is a pattern recognition technique that searches for space-time data clusters that may signal a disease outbreak. The second is a genetic algorithm to design and train neural networks (GANN) that we applied toward disease forecasting. We tested these algorithms against influenza, respiratory illness, and Dengue Fever data. Through this LDRD in combination with other internal funding, we delivered a distributed simulation capability to synthesize disparate information and models for earlier recognition and improved decision-making in the event of a biological attack. The architecture incorporates user feedback and control so that a user's decision inputs can impact the scenario outcome as well as integrated security and role-based access-control for communicating between

  13. Work-related lung disease surveillance report supplement 1992

    SciTech Connect

    Not Available

    1992-09-01

    The report supplements the 1991 Work Related Lung Disease Surveillance Report and contains figures and tables which expand the information provided in the 1991 document. Updated data were included for many of the figures and tables contained in the original report. Data on sex, race, geographic distribution, industry, and occupation extracted from the multiple cause of death data were presented for deaths with mention of asbestosis, malignant neoplasms of the pleura, malignant neoplasms of the peritoneum, coal workers' pneumoconiosis, silicosis, byssinosis, or hypersensitivity pneumonitis. Additionally, data from the National Hospital Discharge Survey on the number of discharges with silicosis or asbestosis, and data from the Sentinel Event Notification System for Occupational Risks program on reports of occupational asthma and silicosis were also included.

  14. Surveillance of gastrointestinal disease in France using drug sales data.

    PubMed

    Pivette, Mathilde; Mueller, Judith E; Crépey, Pascal; Bar-Hen, Avner

    2014-09-01

    Drug sales data have increasingly been used for disease surveillance during recent years. Our objective was to assess the value of drug sales data as an operational early detection tool for gastroenteritis epidemics at national and regional level in France. For the period 2008-2013, we compared temporal trends of drug sales for the treatment of gastroenteritis with trends of cases reported by a Sentinel Network of general practitioners. We benchmarked detection models to select the one with the best sensitivity, false alert proportion and timeliness, and developed a prospective framework to assess the operational performance of the system. Drug sales data allowed the detection of seasonal gastrointestinal epidemics occurring in winter with a distinction between prescribed and non-prescribed drugs. Sales of non-prescribed drugs allowed epidemic detection on average 2.25 weeks earlier than Sentinel data. These results confirm the value of drug sales data for real-time monitoring of gastroenteritis epidemic activity.

  15. Health & Demographic Surveillance System Profile: The Taabo Health and Demographic Surveillance System, Côte d'Ivoire.

    PubMed

    Koné, Siaka; Baikoro, Nahoua; N'Guessan, Yao; Jaeger, Fabienne N; Silué, Kigbafori D; Fürst, Thomas; Hürlimann, Eveline; Ouattara, Mamadou; Séka, Marie-Chantal Y; N'Guessan, Nicaise A; Esso, Emmanuel L J C; Zouzou, Fabien; Boti, Louis I; Gonety, Prosper T; Adiossan, Lukas G; Dao, Daouda; Tschannen, Andres B; von Stamm, Thomas; Bonfoh, Bassirou; Tanner, Marcel; Utzinger, Jürg; N'Goran, Eliézer K

    2015-02-01

    The Taabo Health and Demographic Surveillance System (HDSS) is located in south-central Côte d'Ivoire, approximately 150 km north-west of Abidjan. The Taabo HDSS started surveillance activities in early 2009 and the man-made Lake Taabo is a key eco-epidemiological feature. Since inception, there has been a strong interest in research and integrated control of water-associated diseases such as schistosomiasis and malaria. The Taabo HDSS has generated setting-specific evidence on the impact of targeted interventions against malaria, schistosomiasis and other neglected tropical diseases. The Taabo HDSS consists of a small town, 13 villages and over 100 hamlets. At the end of 2013, a total population of 42 480 inhabitants drawn from 6707 households was under surveillance. Verbal autopsies have been conducted to determine causes of death. Repeated cross-sectional epidemiological surveys on approximately 5-7% of the population and specific, layered-on haematological, parasitological and questionnaire surveys have been conducted. The Taabo HDSS provides a database for surveys, facilitates interdisciplinary research, as well as surveillance, and provides a platform for the evaluation of health interventions. Requests to collaborate and to access data are welcome and should be addressed to the secretariat of the Centre Suisse de Recherches Scientifiques en Côte d'Ivoire: [secretariat@csrs.ci]. © The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

  16. The conundrum of harmonizing resistance surveillance systems on a global level

    USDA-ARS?s Scientific Manuscript database

    Surveillance systems, particularly those involving complex data over time, provide unique challenges. They are as varied in design, intent, funding and function as the countries in which they exist. The Centers for Disease Control and Prevention define surveillance as ‘the ongoing systematic colle...

  17. Invasive Group B Streptococcal Disease in South Africa: Importance of Surveillance Methodology

    PubMed Central

    Cohen, Cheryl; von Gottberg, Anne; Meiring, Susan; Cutland, Clare L.; Schrag, Stephanie J.; Madhi, Shabir A.

    2016-01-01

    Data on neonatal group B streptococcal (GBS) invasive disease burden are needed to refine prevention policies. Differences in surveillance methods and investigating for cases can lead to varying disease burden estimates. We compared the findings of laboratory-based passive surveillance for GBS disease across South Africa, and for one of the provinces compared this to a real-time, systematic, clinical surveillance in a population-defined region in Johannesburg, Soweto. Passive surveillance identified a total of 799 early-onset disease (EOD, <7 days age) and 818 LOD (late onset disease, 7–89 days age) cases nationwide. The passive surveillance provincial incidence varied for EOD (range 0.00 to 1.23/1000 live births), and was 0.03 to 1.04/1000 live births for LOD. The passive surveillance rates for Soweto, were not significantly different compared to those from the systematic surveillance (EOD 1.23 [95%CI 1.06–1.43] vs. 1.50 [95%CI 1.30–1.71], respectively, rate ratio 0.82 [95%CI 0.67–1.01]; LOD 1.04 [95% CI 0.90–1.23] vs. 1.22 [95%CI 1.05–1.42], rate ratio 0.85 [95% CI 0.68–1.07]). A review of the few cases missed in the passive system in Soweto, suggested that missing key identifiers, such as date of birth, resulted in their omission during the electronic data extraction process. Our analysis suggests that passive surveillance provides a modestly lower estimate of invasive GBS rates compared to real time sentinel-site systematic surveillance, however, this is unlikely to be the reason for the provincial variability in incidence of invasive GBS disease in South Africa. This, possibly reflects that invasive GBS disease goes undiagnosed due to issues related to access to healthcare, poor laboratory capacity and varying diagnostic procedures or empiric antibiotic treatment of neonates with suspected sepsis in the absence of attempting to making a microbiological diagnosis. An efficacious GBS vaccine for pregnant women, when available, could be used as a

  18. Risk and Surveillance of Cancers in Primary Biliary Tract Disease

    PubMed Central

    Hrad, Valery; Abebe, Yoftahe; Ali, Syed Haris; Velgersdyk, Jared

    2016-01-01

    Primary biliary diseases have been associated in several studies with various malignancies. Understanding the risk and optimizing surveillance strategy of these malignancies in this specific subset of patients are an important facet of clinical care. For instance, primary sclerosing cholangitis is associated with an increased risk for cholangiocarcinoma (which is very challenging to diagnose) and when IBD is present for colorectal cancer. On the other hand, primary biliary cirrhosis patients with cirrhosis or not responding to 12 months of ursodeoxycholic acid therapy are at increased risk of hepatocellular carcinoma. In this review we will discuss in detail the risks and optimal surveillance strategies for patients with primary biliary diseases. PMID:27413366

  19. Disease surveillance and data collection issues in epidemic modelling.

    PubMed

    Solomon, P J; Isham, V S

    2000-06-01

    This paper is founded on a tutorial session given to the School on Modern Statistical Methods in Medical Research which was held at the International Centre for Theoretical Physics, Trieste in September 1999. We review the aims, scope and purposes of infectious disease surveillance including determining transmission information to underpin model structure and parameterization in epidemic modelling. The practical problems inherent in collecting surveillance data are illustrated by a study of HIV/AIDS in Cambodia. We also review the basic elements of mathematical models developed to represent the transmission dynamics of infectious diseases, and discuss reasons for the gap between mathematical epidemic models and available data.

  20. The Impact of Law on Syndromic Disease Surveillance Implementation.

    PubMed

    Purtle, Jonathan; Field, Robert I; Hipper, Thomas; Nash-Arott, Jillian; Chernak, Esther; Buehler, James W

    2017-01-30

    Legal environments influence how health information technologies are implemented in public health practice settings. Syndromic disease surveillance (SyS) is a relatively new approach to surveillance that depends heavily on health information technologies to achieve rapid awareness of disease trends. Evidence suggests that legal concerns have impeded the optimization of SyS. To (1) understand the legal environments in which SyS is implemented, (2) determine the perceived legal basis for SyS, and (3) identify perceived legal barriers and facilitators to SyS implementation. Multisite case study in which 35 key informant interviews and 5 focus groups were conducted with 75 SyS stakeholders. Interviews and focus groups were audio recorded, transcribed, and analyzed by 3 coders using thematic content analysis. Legal documents were reviewed. Seven jurisdictions (5 states, 1 county, and 1 city) that were purposively selected on the basis of SyS capacity and legal environment. Health department directors, SyS system administrators, legal counsel, and hospital personnel. Federal (eg, HIPAA) and state (eg, notifiable disease reporting) laws that authorize traditional public health surveillance were perceived as providing a legal basis for SyS. Financial incentives for hospitals to satisfy Meaningful Use regulations have eased concerns about the legality of SyS and increased the number of hospitals reporting SyS data. Legal issues were perceived as barriers to BioSense 2.0 (the federal SyS program) participation but were surmountable. Major legal reforms are not needed to promote more widespread use of SyS. The current legal environment is perceived by health department and hospital officials as providing a firm basis for SyS practice. This is a shift from how law was perceived when SyS adoption began and has policy implications because it indicates that major legal reforms are not needed to promote more widespread use of the technology. Beyond SyS, our study suggests that

  1. Neural network based system for equipment surveillance

    DOEpatents

    Vilim, R.B.; Gross, K.C.; Wegerich, S.W.

    1998-04-28

    A method and system are disclosed for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process. 33 figs.

  2. Neural network based system for equipment surveillance

    DOEpatents

    Vilim, Richard B.; Gross, Kenneth C.; Wegerich, Stephan W.

    1998-01-01

    A method and system for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process.

  3. Enhanced surveillance of infectious diseases : the 2006 FIFA World Cup experience, Germany.

    PubMed

    Schenkel, K; Williams, C; Eckmanns, T; Poggensee, G; Benzler, J; Josephsen, J; Krause, Gerard

    2006-01-01

    The 2006 FIFA World Cup was held in 12 German cities between 9 June and 9 July 2006. We identified a need to accelerate and sensitise the pre-existing surveillance system for infectious diseases in order to timely detect adverse health events during the World Cup. Enhanced surveillance, based on Germany's pre-existing system of mandatory notifications was conducted between 7 June and 11 July 2006 in the 12 World Cup cities by: accelerating frequency of electronic data transmission of case-definition based notifiable diseases from weekly to daily transmission, additional reporting of non-case definition-based infectious disease events, lay and expert press screening and intensifying communication between all stakeholders of the surveillance system. Median delay of notification data transmission from the community to the federal level was reduced from three days to one day. The enhanced reporting system detected a norovirus outbreak in the International Broadcast Centre in Munich with 61 epidemiologically linked cases within the first week after onset, as well as four single cases related to the World Cup, two of them with relevance for the International Health Regulations. After the World Cup, all surveillance stakeholders agreed that communication between local, state and federal levels had improved considerably. Unlike the majority of health planners of previous mass gatherings in the last decade we did not introduce syndromic surveillance. Nevertheless, enhancement of infectious disease surveillance successfully detected adverse health events in a timely manner during the FIFA World Cup. Additionally, it provided a valuable communication and networking exercise for potentially critical health-related events. We recommend continuing daily notification data transmission for routine infectious disease surveillance in Germany.

  4. Comparison of active and passive surveillance for cerebrovascular disease: The Brain Attack Surveillance in Corpus Christi (BASIC) Project.

    PubMed

    Piriyawat, Paisith; Smajsová, Miriam; Smith, Melinda A; Pallegar, Sanjay; Al-Wabil, Areej; Garcia, Nelda M; Risser, Jan M; Moyé, Lemuel A; Morgenstern, Lewis B

    2002-12-01

    To provide a scientific rationale for choosing an optimal stroke surveillance method, the authors compared active surveillance with passive surveillance. The methods involved ascertaining cerebrovascular events that occurred in Nueces County, Texas, during calendar year 2000. Active methods utilized screening of hospital and emergency department logs and routine visiting of hospital wards and out-of-hospital sources. Passive means relied on International Classification of Diseases, Ninth Revision (ICD-9), discharge codes for case ascertainment. Cases were validated by fellowship-trained stroke neurologists on the basis of published criteria. The results showed that, of the 6,236 events identified through both active and passive surveillance, 802 were validated to be cerebrovascular events. When passive surveillance alone was used, 209 (26.1%) cases were missed, including 73 (9.1%) cases involving hospital admission and 136 (17.0%) out-of-hospital strokes. Through active surveillance alone, 57 (7.1%) cases were missed. The positive predictive value of active surveillance was 12.2%. Among the 2,099 patients admitted to a hospital, passive surveillance using ICD-9 codes missed 73 cases of cerebrovascular disease and mistakenly included 222 noncases. There were 57 admitted hospital cases missed by active surveillance, including 13 not recognized because of human error. This study provided a quantitative means of assessing the utility of active and passive surveillance for cerebrovascular disease. More uniform surveillance methods would allow comparisons across studies and communities.

  5. Medical surveillance for the emerging occupational and environmental respiratory diseases

    PubMed Central

    Weissman, David N.

    2016-01-01

    Purpose of review To highlight the important issues to consider in deciding whether to pursue and how to conduct medical surveillance for the emerging occupational and environmental respiratory diseases. It provides several recent examples illustrating implementation and usefulness of medical surveillance and the lessons learned from these experiences. Recent findings Medical surveillance conducted after sentinel outbreaks of constrictive bronchiolitis in microwave popcorn and flavoring production plants have shown the usefulness of this approach in documenting the burden of disease, identifying particular problem areas as targets for preventive interventions, and in tracking the progress. They have also identified the usefulness of longitudinal spirometry, which allows comparison of the individuals’ results to their own previous tests. The importance of recognizing a sentinel outbreak needing greater investigation is demonstrated by the cluster of cases of constrictive bronchiolitis recognized in military veterans returning from Iraq and Afghanistan. The World Trade Center disaster has demonstrated the importance of having baseline lung function data for future comparison and the importance of rapidly identifying exposed populations at greatest risk for health effects, and thus potentially having the greatest benefit from medical surveillance. Summary When used appropriately, medical surveillance is a useful tool in addressing the emerging occupational and environmental respiratory diseases by facilitating improvements in primary prevention and enabling interventions to help individuals through secondary prevention. PMID:24500294

  6. Evaluation of active mortality surveillance system data for monitoring hurricane-related deaths-Texas, 2008.

    PubMed

    Choudhary, Ekta; Zane, David F; Beasley, Crystal; Jones, Russell; Rey, Araceli; Noe, Rebecca S; Martin, Colleen; Wolkin, Amy F; Bayleyegn, Tesfaye M

    2012-08-01

    The Texas Department of State Health Services (DSHS) implemented an active mortality surveillance system to enumerate and characterize hurricane-related deaths during Hurricane Ike in 2008. This surveillance system used established guidelines and case definitions to categorize deaths as directly, indirectly, and possibly related to Hurricane Ike. The objective of this study was to evaluate Texas DSHS' active mortality surveillance system using US Centers for Disease Control and Prevention's (CDC) surveillance system evaluation guidelines. Using CDC's Updated Guidelines for Surveillance System Evaluation, the active mortality surveillance system of the Texas DSHS was evaluated. Data from the active mortality surveillance system were compared with Texas vital statistics data for the same time period to estimate the completeness of reported disaster-related deaths. From September 8 through October 13, 2008, medical examiners (MEs) and Justices of the Peace (JPs) in 44 affected counties reported deaths daily by using a one-page, standardized mortality form. The active mortality surveillance system identified 74 hurricane-related deaths, whereas a review of vital statistics data revealed only four deaths that were hurricane-related. The average time of reporting a death by active mortality surveillance and vital statistics was 14 days and 16 days, respectively. Texas's active mortality surveillance system successfully identified hurricane-related deaths. Evaluation of the active mortality surveillance system suggested that it is necessary to collect detailed and representative mortality data during a hurricane because vital statistics do not capture sufficient information to identify whether deaths are hurricane-related. The results from this evaluation will help improve active mortality surveillance during hurricanes which, in turn, will enhance preparedness and response plans and identify public health interventions to reduce future hurricane-related mortality rates.

  7. Evaluation of Active Mortality Surveillance System Data for Monitoring Hurricane-Related Deaths—Texas, 2008

    PubMed Central

    Choudhary, Ekta; Zane, David F.; Beasley, Crystal; Jones, Russell; Rey, Araceli; Noe, Rebecca S.; Martin, Colleen; Wolkin, Amy F.; Bayleyegn, Tesfaye M.

    2015-01-01

    Introduction The Texas Department of State Health Services (DSHS) implemented an active mortality surveillance system to enumerate and characterize hurricane-related deaths during Hurricane Ike in 2008. This surveillance system used established guidelines and case definitions to categorize deaths as directly, indirectly, and possibly related to Hurricane Ike. Objective The objective of this study was to evaluate Texas DSHS’ active mortality surveillance system using US Centers for Disease Control and Prevention’s (CDC) surveillance system evaluation guidelines. Methods Using CDC’s Updated Guidelines for Surveillance System Evaluation, the active mortality surveillance system of the Texas DSHS was evaluated. Data from the active mortality surveillance system were compared with Texas vital statistics data for the same time period to estimate the completeness of reported disaster-related deaths. Results From September 8 through October 13, 2008, medical examiners (MEs) and Justices of the Peace (JPs) in 44 affected counties reported deaths daily by using a one-page, standardized mortality form. The active mortality surveillance system identified 74 hurricane-related deaths, whereas a review of vital statistics data revealed only four deaths that were hurricane-related. The average time of reporting a death by active mortality surveillance and vital statistics was 14 days and 16 days, respectively. Conclusions Texas’s active mortality surveillance system successfully identified hurricane-related deaths. Evaluation of the active mortality surveillance system suggested that it is necessary to collect detailed and representative mortality data during a hurricane because vital statistics do not capture sufficient information to identify whether deaths are hurricane-related. The results from this evaluation will help improve active mortality surveillance during hurricanes which, in turn, will enhance preparedness and response plans and identify public health

  8. Detecting, reporting, and analysis of priority diseases for routine public health surveillance in Liberia.

    PubMed

    Frimpong, Joseph Asamoah; Park, Meeyoung Mattie; Amo-Addae, Maame Pokuah; Adewuyi, Peter Adebayo; Nagbe, Thomas Knue

    2017-01-01

    An essential component of a public health surveillance system is its ability to detect priority diseases which fall within the mandate of public health officials at all levels. Early detection, reporting and response to public health events help to reduce the burden of mortality and morbidity on communities. Analysis of reliable surveillance data provides relevant information which can enable implementation of timely and appropriate public health interventions. To ensure that a resilient system is in place, the World Health Organization (WHO) has provided guidelines for detection, reporting and response to public health events in the Integrated Disease Surveillance and Response (IDSR) strategy. This case study provides training on detection, reporting and analysis of priority diseases for routine public health surveillance in Liberia and highlights potential errors and challenges which can hinder effective surveillance. Table-top exercises and group discussion lead participants through a simulated verification and analyses of summary case reports in the role of the District Surveillance Officer. This case study is intended for public health training in a classroom setting and can be accomplished within 2 hours 30 minutes. The target audience include residents in Frontline Epidemiology Training Programs (FETP-Frontline), Field Epidemiology and Laboratory Training Programs (FELTPs), and others who are interested in this topic.

  9. Early warning epidemic surveillance in the Pacific island nations: an evaluation of the Pacific syndromic surveillance system.

    PubMed

    Craig, Adam T; Kama, Mike; Samo, Marcus; Vaai, Saine; Matanaicake, Jane; Joshua, Cynthia; Kolbe, Anthony; Durrheim, David N; Paterson, Beverley J; Biaukula, Viema; Nilles, Eric J

    2016-07-01

    The Pacific Syndromic Surveillance System (PSSS), launched in 2010, provides a simple mechanism by which 121 sentinel surveillance sites in 21 Pacific island countries and areas perform routine indicator- and event-based surveillance for the early detection of infectious disease outbreaks. This evaluation aims to assess whether the PSSS is meeting its objectives, what progress has been made since a formative evaluation of the system was conducted in 2011, and provides recommendations to enhance the PSSS's performance in the future. Twenty-one informant interviews were conducted with national operators of the system and regional public health agencies that use information generated by it. Historic PSSS data were analysed to assess timeliness and completeness of reporting. The system is simple, acceptable and useful for public health decision-makers. The PSSS has greatly enhanced Pacific island countries' ability to undertake early warning surveillance and has contributed to efforts to meet national surveillance-related International Health Regulation (2005) capacity development obligations. Despite this, issues with timeliness and completeness of reporting, data quality and system stability persist. A balance between maintaining the system's simplicity and technical advances will need to be found to ensure its long-term sustainability, given the low-resource context for which it is designed. © 2016 John Wiley & Sons Ltd.

  10. Pilot surveillance for childhood encephalitis in Australia using the Paediatric Active Enhanced Disease Surveillance (PAEDS) network.

    PubMed

    Britton, P N; Dale, R C; Elliott, E; Festa, M; Macartney, K; Booy, R; Jones, C A

    2016-07-01

    We aimed to assess the performance of active surveillance for hospitalized childhood encephalitis in New South Wales (NSW) using the Paediatric Active Enhanced Disease Surveillance (PAEDS) network to inform methodology for the nationwide Australian childhood encephalitis (ACE) study. We piloted active surveillance for suspected encephalitis from May to December 2013 at the Children's Hospital at Westmead, Sydney, NSW. Cases were ascertained using four screening methods: weekday nurse screening of admission records (PAEDS), cerebrospinal fluid (CSF) microscopy records, magnetic resonance imaging (MRI) reports, and pharmacy dispensing records. Comprehensive clinical data were prospectively collected on consented participants and subsequently reviewed by an expert panel. Cases were categorized as confirmed encephalitis or 'not encephalitis'; encephalitis cases were sub-categorized as infectious, immune-mediated or unknown. We performed an ICD-10 diagnostic code audit of hospitalizations for the pilot period. We compared case ascertainment in the four screening methods and with the ICD code audit. Forty-eight cases of suspected encephalitis were identified by one or more methods. PAEDS was the most efficient mechanism (yield 34%), followed by MRI, CSF, and pharmacy audits (yield 14%, 12%, and 7% respectively). Twenty-five cases met the criteria for confirmed encephalitis. PAEDS was the most sensitive of the mechanisms for confirmed encephalitis (92%) with a positive predictive value (PPV) of 72%. The ICD audit was moderately sensitive (64%) but poorly specific (Sp 9%, PPV 14%). Of the 25 confirmed encephalitis cases, 19 (76%) were sub-categorized as infectious, three (12%) were immune-mediated, and three (12%) were 'unknown'. We identified encephalitis cases associated with two infectious disease outbreaks (enterovirus 71, parechovirus 3). PAEDS is an efficient, sensitive and accurate surveillance mechanism for detecting cases of childhood encephalitis including those

  11. Infectious disease surveillance in the United States and the United Kingdom: from public goods to the challenges of new technologies.

    PubMed

    Barnett, Tony; Sorenson, Corinna

    2011-02-01

    Infectious diseases are a long-standing and continuing threat to health and welfare, with their containment dependent on national disease surveillance and response capacities. This article discusses infectious disease surveillance in the United States and the United Kingdom, examining historical national traditions for identifying and controlling infectious disease risks and how globalization and technical advances have influenced the evolution of their respective approaches. The two systems developed in different but parallel ways. In the United States, surveillance remained quite localized at the state level until the early twentieth century and still retains many of those features. The U.K. approach became centralized from the latter part of the nineteenth century and has principally remained so. In both cases, disease surveillance was traditionally conceived as a public good, where national or local authorities held sovereign rights and power to protect public health. With the increasing globalized nature of infectious disease, such notions shifted toward surveillance as a global public good, with countries responding in turn by creating new global health governance arrangements and regulations. However, the limitations of current surveillance systems and the strong hold of national interests place into question the provision of surveillance as a global public good. These issues are further highlighted with the introduction of new surveillance technologies, which offer opportunities for improved disease detection and identification but also create potential tensions between individual rights, corporate profit, equitable access to technology, and national and global public goods.

  12. Health & Demographic Surveillance System Profile: The Muzaffarpur-TMRC Health and Demographic Surveillance System

    PubMed Central

    Malaviya, Paritosh; Picado, Albert; Hasker, Epco; Ostyn, Bart; Kansal, Sangeeta; Singh, Rudra Pratap; Shankar, Ravi; Boelaert, Marleen; Sundar, Shyam

    2014-01-01

    The Muzaffarpur-TMRC Health and Demographic Surveillance System (HDSS), established in 2007, was developed as an enlargement of the scope of a research collaboration on the project Visceral Leishmaniasis in Bihar, which had been ongoing since 2005. The HDSS is located in a visceral leishmaniasis (VL)-endemic area in the Muzaffarpur district of Bihar state in India. It is the only HDSS conducting research on VL, which is a vector-borne infectious disease transmitted by female phlebotomine sandflies and is fatal if left untreated. Currently the HDSS serves a population of over 105 000 in 66 villages. The HDSS collects data on vital events including pregnancies, births, deaths, migration and marriages, as well as other socio-economic indicators, at regular intervals. Incident VL cases are identified. The HDSS team is experienced in conducting both qualitative and quantitative studies, sample collection and rapid diagnostic tests in the field. In each village, volunteers connect the HDSS team with the community members. The Muzaffarpur-TMRC HDSS provides opportunities for studies on VL and other neglected tropical diseases (NTDs) and their interaction with demographic events such as migration. Queries related to research collaborations and data sharing can be sent to Dr Shyam Sundar at [drshyamsundar@hotmail.com]. PMID:25186307

  13. Vector-borne disease surveillance in livestock populations: A critical review of literature recommendations and implemented surveillance (BTV-8) in five European countries.

    PubMed

    Dórea, Fernanda C; Elbers, Armin R W; Hendrikx, Pascal; Enoe, Claes; Kirkeby, Carsten; Hoinville, Linda; Lindberg, Ann

    2016-03-01

    Preparedness against vector-borne threats depends on the existence of a long-term, sustainable surveillance of vector-borne disease and their relevant vectors. This work reviewed the availability of such surveillance systems in five European countries (Denmark, France, The Netherlands, Sweden and United Kingdom, part of the CoVetLab network). A qualitative assessment was then performed focusing on surveillance directed particularly to BTV-8. Information regarding surveillance activities were reviewed for the years 2008 and 2012. The results were then complemented with a critical scoping review of the literature aimed at identifying disease surveillance strategies and methods that are currently suggested as best suited to target vector-borne diseases in order to guide future development of surveillance in the countries in question. Passive surveillance was found to be efficient for early detection of diseases during the early phase of introduction into a free country. However, its value diminished once the disease has been established in a territory. Detection of emerging diseases was found to be very context and area specific, and thus active surveillance designs need to take the available epidemiological, ecological and entomological information into account. This was demonstrated by the effectiveness of the bulk milk surveillance in detecting the first case in Sweden, highlighting the need for output based standards to allow the most effective, context dependent, surveillance strategies to be used. Preparedness was of fundamental importance in determining the timeliness of detection and control in each country and that this in turn was heavily influenced by knowledge of emerging diseases in neighboring countries. Therefore it is crucial to share information on outbreaks between researchers and decision-makers and across borders continuously in order to react timely in case of an outbreak. Furthermore, timely reaction to an outbreak was heavily influenced by

  14. An expert system for culture-based infection control surveillance.

    PubMed Central

    Kahn, M. G.; Steib, S. A.; Fraser, V. J.; Dunagan, W. C.

    1993-01-01

    Hospital-acquired infections represent a significant cause of prolonged inpatient days and additional hospital charges. We describe an expert system, called GERMWATCHER, which applies the Centers for Disease Control's National Nosocomial Infection Surveillance culture-based criteria for detecting nosocomial infections. GERMWATCHER has been deployed at Barnes Hospital, a large tertiary-care teaching hospital, since February 1993. We describe the Barnes Hospital infection control environment, the expert system design, and a predeployment performance evaluation. We then compare our system to other efforts in computer-based infection control. PMID:8130456

  15. Evaluating a surveillance system: live-bird market surveillance for highly pathogenic avian influenza, a case study.

    PubMed

    Waziri, Ndadilnasiya Endie; Nguku, Patrick; Olayinka, Adebola; Ajayi, Ike; Kabir, Junaidu; Okolocha, Emmanuel; Tseggai, Tesfai; Joannis, Tony; Okewole, Phillip; Kumbish, Peterside; Ahmed, Mohammed; Lombin, Lami; Nsubuga, Peter

    2014-01-01

    Highly pathogenic avian influenza H5N1 was first reported in poultry in Nigeria in February 2006. The only human case that occurred was linked to contact with poultry in a live bird market (LBM). LBM surveillance was instituted to assess the degree of threat of human exposure to H5N1. The key indicator was detection of H5N1 in LBMs. We evaluated the surveillance system to assess its operations and attributes. We used the US Centers for Disease Control and Prevention (CDC) updated guidelines for evaluating public health surveillance systems. We reviewed and analyzed passive surveillance data for HPAI (January 2006-March 2009) from the Avian Influenza National Reference Laboratory, and live bird market surveillance data from the Food and Agriculture Organization of the United Nations, Nigeria. We interviewed key stakeholders and reviewed reports of live bird market surveillance to obtain additional information on the operations of the system. We assessed the key system attributes. A total of 299 cases occurred in 25 (72%) states and the Federal Capital Territory (FCT). The system detected HPAI H5N1 virus in 7 (9.5%) LBMs; 2 (29%) of which were from 2 (18.2%) states with no previous case. A total of 17,852 (91.5%) of samples arrived at the laboratory within 24 hours but laboratory analysis took over 7 days. The sensitivity and positive predictive value (PPV) were 15.4% and 66.7% respectively. The system is useful, flexible, complex and not timely, but appears to be meeting its objectives. The isolation of HPAI H5N1 virus in some of these markets is an indication that the markets are possible reservoirs of the virus in Nigeria. We recommend that the Federal Government of Nigeria should dedicate more funds for surveillance for HPAI as this will aid early warning and reduce the risk of a pandemic.

  16. Toxic-Pfiesteria--surveillance for human disease in Maryland.

    PubMed

    Matuszak, D L; Taylor, J L; Dickson, C; Benjamin, G C

    1998-05-01

    The presence of toxic stages of the dinoflagellate Pfiesteria piscicida and other morphologically related organisms was documented in three estuarine waterways on the lower Eastern Shore of Maryland in 1997. The Maryland Department of Health and Mental Hygiene, working closely with the local health departments, established a surveillance system to collect reports of human illnesses. Maryland's experience has formed the base on which national surveillance criteria for Estuary Associated Syndrome have been developed and regional surveillance protocols have been built. The cooperation of practicing physicians is essential to continued surveillance efforts to further delineate the extent and nature of human health effects following exposures to waters where toxic forms of these dinoflagellates are active. Physicians wishing to report persons who may have Estuary Associated Syndrome should contact their local health department. Persons wanting information or wishing to report finding lesioned fish or a fish kill in progress should call the Maryland Pfiesteria Hotline at 1- 888-584-3110.

  17. The development of an evaluation framework for injury surveillance systems

    PubMed Central

    Mitchell, Rebecca J; Williamson, Ann M; O'Connor, Rod

    2009-01-01

    Background Access to good quality information from injury surveillance is essential to develop and monitor injury prevention activities. To determine if information obtained from surveillance is of high quality, the limitations and strengths of a surveillance system are often examined. Guidelines have been developed to assist in evaluating certain types of surveillance systems. However, to date, no standard guidelines have been developed to specifically evaluate an injury surveillance system. The aim of this research is to develop a framework to guide the evaluation of injury surveillance systems. Methods The development of an Evaluation Framework for Injury Surveillance Systems (EFISS) involved a four stage process. First, a literature review was conducted to identify an initial set of characteristics that were recognised as important and/or had been recommended to be assessed in an evaluation of a surveillance system. Second, this set of characteristics was assessed using SMART criteria. Third, those surviving were presented to an expert panel using a two round modified-Delphi study to gain an alternative perspective on characteristic definitions, practicality of assessment, and characteristic importance. Finally, a rating system was created for the EFISS characteristics. Results The resulting EFISS consisted of 18 characteristics that assess three areas of an injury surveillance system – five characteristics assess data quality, nine characteristics assess the system's operation, and four characteristics assess the practical capability of an injury surveillance system. A rating system assesses the performance of each characteristic. Conclusion The development of the EFISS builds upon existing evaluation guidelines for surveillance systems and provides a framework tailored to evaluate an injury surveillance system. Ultimately, information obtained through an evaluation of an injury data collection using the EFISS would be useful for agencies to recommend how a

  18. Role of information technology (IT) in public health, India (problems & prospects): Role of information communication technology (ICT) in disease surveillance under Integrated Disease Surveillance Project (IDSP).

    PubMed

    Sharma, Rajeev; Luthra, Pallavi; Karad, Amit; Dhariwal, A C; Ichhpujani, R L; Lal, Shiv

    2010-06-01

    Information Communication Technology (ICT) has proven to be a strong public health tool. Keeping the future need of country and building National Disease Surveillance System, Integrated Disease Surveillance Project (IDSP) was launched by Hon'ble Union Minister of Health & Family Welfare in November 2004. It is a decentralized, State based surveillance program in the country. It is intended to detect early warning signals of impending outbreaks and help initiate an effective response in a timely manner. One of the major components of the project is the - use of Information Technology for collection, collation, compilation, analysis and dissemination of data besides distance education and video conferencing. A network of 800 sites across India has been established through Satellite, Broadband and High end Video conferencing equipments. The network is managed by a team of data managers and data entry operators at all state surveillance units and district surveillance units respectively. The network was proven to be extremely useful to respond to the current influenza A H1N1 pandemic. It is proposed to extend the network to cover private sector and provide convergence with other National Health Programs.

  19. Evaluation of animal and public health surveillance systems: a systematic review.

    PubMed

    Drewe, J A; Hoinville, L J; Cook, A J C; Floyd, T; Stärk, K D C

    2012-04-01

    Disease surveillance programmes ought to be evaluated regularly to ensure they provide valuable information in an efficient manner. Evaluation of human and animal health surveillance programmes around the world is currently not standardized and therefore inconsistent. The aim of this systematic review was to review surveillance system attributes and the methods used for their assessment, together with the strengths and weaknesses of existing frameworks for evaluating surveillance in animal health, public health and allied disciplines. Information from 99 articles describing the evaluation of 101 surveillance systems was examined. A wide range of approaches for assessing 23 different system attributes was identified although most evaluations addressed only one or two attributes and comprehensive evaluations were uncommon. Surveillance objectives were often not stated in the articles reviewed and so the reasons for choosing certain attributes for assessment were not always apparent. This has the potential to introduce misleading results in surveillance evaluation. Due to the wide range of system attributes that may be assessed, methods should be explored which collapse these down into a small number of grouped characteristics by focusing on the relationships between attributes and their links to the objectives of the surveillance system and the evaluation. A generic and comprehensive evaluation framework could then be developed consisting of a limited number of common attributes together with several sets of secondary attributes which could be selected depending on the disease or range of diseases under surveillance and the purpose of the surveillance. Economic evaluation should be an integral part of the surveillance evaluation process. This would provide a significant benefit to decision-makers who often need to make choices based on limited or diminishing resources.

  20. Real-time wideband holographic surveillance system

    DOEpatents

    Sheen, David M.; Collins, H. Dale; Hall, Thomas E.; McMakin, Douglas L.; Gribble, R. Parks; Severtsen, Ronald H.; Prince, James M.; Reid, Larry D.

    1996-01-01

    A wideband holographic surveillance system including a transceiver for generating a plurality of electromagnetic waves; antenna for transmitting the electromagnetic waves toward a target at a plurality of predetermined positions in space; the transceiver also receiving and converting electromagnetic waves reflected from the target to electrical signals at a plurality of predetermined positions in space; a computer for processing the electrical signals to obtain signals corresponding to a holographic reconstruction of the target; and a display for displaying the processed information to determine nature of the target. The computer has instructions to apply a three dimensional backward wave algorithm.

  1. Real-time holographic surveillance system

    DOEpatents

    Collins, H. Dale; McMakin, Douglas L.; Hall, Thomas E.; Gribble, R. Parks

    1995-01-01

    A holographic surveillance system including means for generating electromagnetic waves; means for transmitting the electromagnetic waves toward a target at a plurality of predetermined positions in space; means for receiving and converting electromagnetic waves reflected from the target to electrical signals at a plurality of predetermined positions in space; means for processing the electrical signals to obtain signals corresponding to a holographic reconstruction of the target; and means for displaying the processed information to determine nature of the target. The means for processing the electrical signals includes means for converting analog signals to digital signals followed by a computer means to apply a backward wave algorithm.

  2. Real-time holographic surveillance system

    DOEpatents

    Collins, H.D.; McMakin, D.L.; Hall, T.E.; Gribble, R.P.

    1995-10-03

    A holographic surveillance system is disclosed including means for generating electromagnetic waves; means for transmitting the electromagnetic waves toward a target at a plurality of predetermined positions in space; means for receiving and converting electromagnetic waves reflected from the target to electrical signals at a plurality of predetermined positions in space; means for processing the electrical signals to obtain signals corresponding to a holographic reconstruction of the target; and means for displaying the processed information to determine nature of the target. The means for processing the electrical signals includes means for converting analog signals to digital signals followed by a computer means to apply a backward wave algorithm. 21 figs.

  3. Real-time wideband holographic surveillance system

    DOEpatents

    Sheen, D.M.; Collins, H.D.; Hall, T.E.; McMakin, D.L.; Gribble, R.P.; Severtsen, R.H.; Prince, J.M.; Reid, L.D.

    1996-09-17

    A wideband holographic surveillance system including a transceiver for generating a plurality of electromagnetic waves; antenna for transmitting the electromagnetic waves toward a target at a plurality of predetermined positions in space; the transceiver also receiving and converting electromagnetic waves reflected from the target to electrical signals at a plurality of predetermined positions in space; a computer for processing the electrical signals to obtain signals corresponding to a holographic reconstruction of the target; and a display for displaying the processed information to determine nature of the target. The computer has instructions to apply a three dimensional backward wave algorithm. 28 figs.

  4. Department of Defense influenza and other respiratory disease surveillance during the 2009 pandemic.

    PubMed

    Burke, Ronald L; Vest, Kelly G; Eick, Angelia A; Sanchez, Jose L; Johns, Matthew C; Pavlin, Julie A; Jarman, Richard G; Mothershead, Jerry L; Quintana, Miguel; Palys, Thomas; Cooper, Michael J; Guan, Jian; Schnabel, David; Waitumbi, John; Wilma, Alisa; Daniels, Candelaria; Brown, Matthew L; Tobias, Steven; Kasper, Matthew R; Williams, Maya; Tjaden, Jeffrey A; Oyofo, Buhari; Styles, Timothy; Blair, Patrick J; Hawksworth, Anthony; Montgomery, Joel M; Razuri, Hugo; Laguna-Torres, Alberto; Schoepp, Randal J; Norwood, David A; Macintosh, Victor H; Gibbons, Thomas; Gray, Gregory C; Blazes, David L; Russell, Kevin L; Rubenstein, Jennifer; Hathaway, Kyle; Gibbons, Robert; Yoon, In-Kyu; Saunders, David; Gaywee, Jariyanart; Stoner, Mikal; Timmermans, Ans; Shrestha, Sanjaya K; Velasco, John Mark S; Alera, Maria T; Tannitisupawong, Darunee; Myint, Khin Saw; Pichyangkul, Sathit; Woods, Ben; Jerke, Kurt H; Koenig, Michael G; Byarugaba, Denis K; Mangen, Fred Wabwire; Assefa, Berhane; Williams, Maya; Brice, Gary; Mansour, Moustafa; Pimentel, Guillermo; Sebeny, Peter; Talaat, Maha; Saeed, Tamer; Espinosa, Ben; Faix, Dennis; Maves, Ryan; Kochel, Tadeusz; Smith, James; Guerrero, Alicia; Maupin, Gen; Sjoberg, Paul; Duffy, Mark; Garner, Jason; Canas, Linda; Macias, Elizabeth; Kuschner, Robert A; Shanks, Dennis; Lewis, Sheri; Nowak, Gosia; Ndip, Lucy M; Wolfe, Nathan; Saylors, Karen

    2011-03-04

    The Armed Forces Health Surveillance Center's Division of Global Emerging Infections Surveillance and Response System (AFHSC-GEIS) supports and oversees surveillance for emerging infectious diseases, including respiratory diseases, of importance to the U.S. Department of Defense (DoD). AFHSC-GEIS accomplishes this mission by providing funding and oversight to a global network of partners for respiratory disease surveillance. This report details the system's surveillance activities during 2009, with a focus on efforts in responding to the novel H1N1 Influenza A (A/H1N1) pandemic and contributions to global public health. Active surveillance networks established by AFHSC-GEIS partners resulted in the initial detection of novel A/H1N1 influenza in the U.S. and several other countries, and viruses isolated from these activities were used as seed strains for the 2009 pandemic influenza vaccine. Partners also provided diagnostic laboratory training and capacity building to host nations to assist with the novel A/H1N1 pandemic global response, adapted a Food and Drug Administration-approved assay for use on a ruggedized polymerase chain reaction platform for diagnosing novel A/H1N1 in remote settings, and provided estimates of seasonal vaccine effectiveness against novel A/H1N1 illness. Regular reporting of the system's worldwide surveillance findings to the global public health community enabled leaders to make informed decisions on disease mitigation measures and controls for the 2009 A/H1N1 influenza pandemic. AFHSC-GEIS's support of a global network contributes to DoD's force health protection, while supporting global public health.

  5. Knowledge, attitude, and practices with respect to disease surveillance among urban private practitioners in Pune, India.

    PubMed

    Phalkey, Revati K; Kroll, Mareike; Dutta, Sayani; Shukla, Sharvari; Butsch, Carsten; Bharucha, Erach; Kraas, Frauke

    2015-01-01

    Participation of private practitioners in routine disease surveillance in India is minimal despite the fact that they account for over 70% of the primary healthcare provision. We aimed to investigate the knowledge, attitudes, and practices of private practitioners in the city of Pune toward disease surveillance. Our goal was to identify what barriers and facilitators determine their participation in current and future surveillance efforts. A questionnaire-based survey was conducted among 258 practitioners (response rate 86%). Data were processed using SPSS™ Inc., Chicago, IL, USA, version 17.0.1. Knowledge regarding surveillance, although limited, was better among allopathy practitioners. Surveillance practices did not differ significantly between allopathy and alternate medicine practitioners. Multivariable logistic regression suggested practicing allopathy [odds ratio (OR) 3.125, 95% confidence interval (CI) 1.234-7.915, p=0.016] and availability of a computer (OR 3.670, 95% CI 1.237-10.889, p=0.019) as significant determinants and the presence of a laboratory (OR 3.792, 95% CI 0.998-14.557, p=0.052) as a marginal determinant of the practitioner's willingness to participate in routine disease surveillance systems. Lack of time (137, 55%) was identified as the main barrier at the individual level alongside inadequately trained subordinate staff (14, 6%). Main extrinsic barriers included lack of cooperation between government and the private sector (27, 11%) and legal issues involved in reporting data (15, 6%). There was a general agreement among respondents (239, 94%) that current surveillance efforts need strengthening. Over a third suggested that availability of detailed information and training about surveillance processes (70, 33%) would facilitate reporting. The high response rate and the practitioners' willingness to participate in a proposed pilot non-communicable disease surveillance system indicate that there is a general interest from the private

  6. Knowledge, attitude, and practices with respect to disease surveillance among urban private practitioners in Pune, India

    PubMed Central

    Phalkey, Revati K.; Kroll, Mareike; Dutta, Sayani; Shukla, Sharvari; Butsch, Carsten; Bharucha, Erach; Kraas, Frauke

    2015-01-01

    Background Participation of private practitioners in routine disease surveillance in India is minimal despite the fact that they account for over 70% of the primary healthcare provision. We aimed to investigate the knowledge, attitudes, and practices of private practitioners in the city of Pune toward disease surveillance. Our goal was to identify what barriers and facilitators determine their participation in current and future surveillance efforts. Design A questionnaire-based survey was conducted among 258 practitioners (response rate 86%). Data were processed using SPSS™ Inc., Chicago, IL, USA, version 17.0.1. Results Knowledge regarding surveillance, although limited, was better among allopathy practitioners. Surveillance practices did not differ significantly between allopathy and alternate medicine practitioners. Multivariable logistic regression suggested practicing allopathy [odds ratio (OR) 3.125, 95% confidence interval (CI) 1.234–7.915, p=0.016] and availability of a computer (OR 3.670, 95% CI 1.237–10.889, p=0.019) as significant determinants and the presence of a laboratory (OR 3.792, 95% CI 0.998–14.557, p=0.052) as a marginal determinant of the practitioner's willingness to participate in routine disease surveillance systems. Lack of time (137, 55%) was identified as the main barrier at the individual level alongside inadequately trained subordinate staff (14, 6%). Main extrinsic barriers included lack of cooperation between government and the private sector (27, 11%) and legal issues involved in reporting data (15, 6%). There was a general agreement among respondents (239, 94%) that current surveillance efforts need strengthening. Over a third suggested that availability of detailed information and training about surveillance processes (70, 33%) would facilitate reporting. Conclusions The high response rate and the practitioners’ willingness to participate in a proposed pilot non-communicable disease surveillance system indicate that

  7. Can lessons from public health disease surveillance be applied to environmental public health tracking?

    PubMed

    Ritz, Beate; Tager, Ira; Balmes, John

    2005-03-01

    Disease surveillance has a century-long tradition in public health, and environmental data have been collected at a national level by the U.S. Environmental Protection Agency for several decades. Recently, the Centers for Disease Control and Prevention announced an initiative to develop a national environmental public health tracking (EPHT) network with "linkage" of existing environmental and chronic disease data as a central goal. On the basis of experience with long-established disease surveillance systems, in this article we suggest how a system capable of linking routinely collected disease and exposure data should be developed, but caution that formal linkage of data is not the only approach required for an effective EPHT program. The primary operational goal of EPHT has to be the "treatment" of the environment to prevent and/or reduce exposures and minimize population risk for developing chronic diseases. Chronic, multifactorial diseases do not lend themselves to data-driven evaluations of intervention strategies, time trends, exposure patterns, or identification of at-risk populations based only on routinely collected surveillance data. Thus, EPHT should be synonymous with a dynamic process requiring regular system updates to a) incorporate new technologies to improve population-level exposure and disease assessment, b) allow public dissemination of new data that become available, c) allow the policy community to address new and emerging exposures and disease "threads," and d) evaluate the effectiveness of EPHT over some appropriate time interval. It will be necessary to weigh the benefits of surveillance against its costs, but the major challenge will be to maintain support for this important new system. Key words: environmental health, evaluation, intervention, registries, surveillance.

  8. Lyme Disease in West Virginia: An Assessment of Distribution and Clinicians' Knowledge of Disease and Surveillance.

    PubMed

    Singh, Sarah; Parker, David; Mark-Carew, Miguella; White, Robert; Fisher, Melanie

    2016-01-01

    Lyme disease case misclassification, a top public health concern, may be attributed to the current disconnect between clinical diagnosis and surveillance. This study examines Lyme disease distribution in West Virginia (WV) and determines clinicians' knowledge of both disease and surveillance. Lyme disease surveillance data for 2013 were obtained from the WV Bureau for Public Health. A validated survey, distributed to clinicians at an academic medical center, assessed clinicians' knowledge of disease diagnosis and surveillance. There were 297 adult Lyme disease cases of which 83 were confirmed. Clinician survey responses resulted in a correct response rate of 70% for Lyme disease knowledge questions. Fewer than half of all clinicians were aware of the surveillance criteria for confirming Lyme disease cases. Neither medical specialty nor previous treatment of patients with Lyme disease were significantly associated with clinicians' knowledge of the disease. Clinicians in WV are familiar with symptoms and clinical management of Lyme disease. However, they are less knowledgeable about diagnosis and public health surveillance comprising reporting and confirming cases of the disease. Clinicians and public health authorities should collaborate more closely to promote education and awareness as a key step to successfully reducing the burden of Lymne disease.

  9. Long Range Infrared Surveillance System (LRIRSS)

    NASA Astrophysics Data System (ADS)

    Garcia, Gregg W.

    1987-09-01

    The contract requirement for the LRIRSS program was to design, fabricate, test, and deliver infrared (IR) surveillance systems capable of target detection and recognition at extended ranges. Several significant technical advancements were made during the course of the program. The twenty three inch primary reflecting surface had to be of aluminum due to thermal and weight considerations. This was accomplished through the use of diamond point turned aluminum. The IR and laser receivers are active simultaneously; this has been achieved through the incorporation of a "chopping" mirror that time shares the main aperture between the FLIR and CO2 laser receivers. In addition, the laser had to be eye-safe at the transmitter exit aperture. The use of a single pulse Carbon Dioxide (CO2) laser has met the requirement, and is certified by the US Army Environmental Hygiene Agency in Study No. 25-42-0335-85. The major technical challenges have been met, as well as several minor difficulties that arose during the execution of the effort. All hardware has been delivered to the Government in accord with the contractual schedule. NOMENCLATURE CO2 Carbon Dioxide CPU Central Processing Unit FLIR Forward Looking Infrared FOV Field of View IFOV Instantaneous Field of View IR Infrared LRF Laser Rangefinder LRIRSS Long Range Infrared Surveillance System PCB Printed Circuit Board

  10. A conditional probability approach to surveillance system sensitivity assessment.

    PubMed

    Majdzadeh, R; Pourmalek, F

    2008-01-01

    To determine the sexually transmitted diseases (STD) surveillance system sensitivity with a conditional probability approach at district level in Darregaz, a frontier town in the north of Iran. A cross-sectional survey. We used a sample survey of sexually active inhabitants for proxy measurement of the medical service utilization pattern for STD, and interviews with all practitioners to determine their knowledge of STD diagnosis and attitude towards STD reporting as proxy measures of actual STD diagnosis and reporting, respectively. Point estimates of the STD surveillance system sensitivity for each of the health service sectors were derived from multiplying the three proxy measures of sensitivity determinants, i.e., utilization, diagnosis, and reporting, as conditional probabilities. Estimates of sensitivity for all health service sectors were summed to obtain the overall sensitivity. The sensitivity of the surveillance system was 21.2% (95% confidence interval (CI) 15.5-25.3%) for detecting symptomatic STD. Of the sexually active inhabitants, 8.9% (95% CI 5.5-14.2%) did not use health services if they contracted STDs. The public health sector's contribution to overall sensitivity (59.6%) was greater than its proportion of service utilization for STD (45.3%). The strengths of the conditional probability approach are feasibility of conducting necessary surveys, decomposing sensitivity into its determinants, and providing evidence for intervention at different points for planning purposes. This approach tends to overestimate the overall sensitivity.

  11. Direct cost associated with the development and implementation of a local syndromic surveillance system.

    PubMed

    Kirkwood, Amy; Guenther, Eric; Fleischauer, Aaron T; Gunn, Julia; Hutwagner, Lori; Barry, M Anita

    2007-01-01

    Enhancing public health surveillance to include electronic syndromic surveillance systems has received increased attention in recent years. Although cost continually serves as a critical factor in public health decision making, few studies have evaluated direct costs associated with syndromic surveillance systems. In this study, we calculated the direct costs associated with developing and implementing a syndromic surveillance system in Boston, Massachusetts, from the perspective of local, state, and federal governments. Between December 2003 and July 2005, the Boston Public Health Commission (BPHC), in collaboration with the Centers for Disease Control and Prevention (CDC), and the Massachusetts Department of Public Health developed a syndromic surveillance system in which limited demographic and chief complaint data are collected from all Boston acute care emergency departments every 24 hours. Costs were divided into three categories: development, operation, and upgrade. Within these categories, all fixed and variable costs incurred by both BPHC and CDC were assessed, including those associated with development of syndromic surveillance-related city regulations and system enhancements. The total estimated direct cost of system development and implementation during the study period was $422,899 ($396,716 invested by BPHC and $26,183 invested by CDC). Syndromic system enhancements to improve situational awareness accounted for $74,389. Development, implementation, and operation of a syndromic surveillance system accounted for a relatively small proportion of surveillance costs in a large urban health department. Funding made available for a future cost-benefit analysis, and an assessment of local epidemiologic capacity will help to guide decisions for local health departments. Although not a replacement for traditional surveillance, syndromic surveillance in Boston is an important and relatively inexpensive component of a comprehensive local public health

  12. Use of a Business Approach to Improve Disease Surveillance Data Management Systems and Information Technology Process in Florida's Bureau of STD Prevention and Control.

    PubMed

    Shiver, Stacy A; Schmitt, Karla; Cooksey, Adrian

    2009-01-01

    The business of sexually transmitted disease (STD) prevention and control demands technology that is capable of supporting a wide array of program activities-from the processing of laboratory test results to the complex and confidential process involved in contact investigation. The need for a tool that enables public health officials to successfully manage the complex operations encountered in an STD prevention and control program, and the need to operate in an increasingly poor resource environment, led the Florida Bureau of STD to develop the Patient Reporting Investigation Surveillance Manager. Its unique approach, technical architecture, and sociotechnical philosophy have made this business application successful in real-time monitoring of disease burden for local communities, identification of emerging outbreaks, monitoring and assurance of appropriate treatments, improving access to laboratory data, and improving the quality of data for epidemiologic analysis. Additionally, the effort attempted to create and release a product that promoted the Centers for Disease Control and Prevention's ideas for integration of programs and processes.

  13. Challenges of implementing the integrated disease surveillance and response strategy in Zambia: a health worker perspective.

    PubMed

    Mandyata, Chomba Brian; Olowski, Linda Kampata; Mutale, Wilbroad

    2017-09-26

    Despite advances in medical technology and public health practice at the global level over the past millennia, infectious diseases are still the leading causes of death in most resource limited countries. Stronger infectious disease surveillance and response systems in developed countries facilitated the near elimination of infectious disease related deaths in those countries. Today, low-income countries are following this path by strengthening disease surveillance and response strategies that would help reverse the trend in infectious disease associated morbidity and mortality cases. In 2000, Zambia adopted the World Health Organisation Regional Office for Africa's (WHO-AFRO) Integrated Disease Surveillance and Response Strategy (IDSR) to monitor, prevent and control priority notifiable infectious diseases in the country. Through this strategy, activities pertaining to disease surveillance are coordinated and streamlined to take advantage of similar surveillance functions, skills, resources and targeted populations. The purpose of the study was to investigate and report on the existing challenges in the implementation of the IDSR strategy in a resource limited country from a health worker perspective. A qualitative study approach was used to achieve the study aim. Data was collected through key informant interviews with selected persons at the Lusaka Province Health Office (LPHO); Lusaka and Chongwe District Health Management Team Offices; and four selected health facilities in the two districts (two from each). Thematic analysis approach was used to analyse the qualitative data. The major successes included operationalised response and epidemic preparedness at all levels (National to district); full-time staff and budget dedicated to disease surveillance at all levels and adoption of the 2010 World Health Organisations' Integrated Disease Surveillance and Response Strategy technical guidelines to the Zambian context. Several challenges hampered effective

  14. Low-cost panoramic infrared surveillance system

    NASA Astrophysics Data System (ADS)

    Kecskes, Ian; Engel, Ezra; Wolfe, Christopher M.; Thomson, George

    2017-05-01

    A nighttime surveillance concept consisting of a single surface omnidirectional mirror assembly and an uncooled Vanadium Oxide (VOx) longwave infrared (LWIR) camera has been developed. This configuration provides a continuous field of view spanning 360° in azimuth and more than 110° in elevation. Both the camera and the mirror are readily available, off-the-shelf, inexpensive products. The mirror assembly is marketed for use in the visible spectrum and requires only minor modifications to function in the LWIR spectrum. The compactness and portability of this optical package offers significant advantages over many existing infrared surveillance systems. The developed system was evaluated on its ability to detect moving, human-sized heat sources at ranges between 10 m and 70 m. Raw camera images captured by the system are converted from rectangular coordinates in the camera focal plane to polar coordinates and then unwrapped into the users azimuth and elevation system. Digital background subtraction and color mapping are applied to the images to increase the users ability to extract moving items from background clutter. A second optical system consisting of a commercially available 50 mm f/1.2 ATHERM lens and a second LWIR camera is used to examine the details of objects of interest identified using the panoramic imager. A description of the components of the proof of concept is given, followed by a presentation of raw images taken by the panoramic LWIR imager. A description of the method by which these images are analyzed is given, along with a presentation of these results side-by-side with the output of the 50 mm LWIR imager and a panoramic visible light imager. Finally, a discussion of the concept and its future development are given.

  15. Mental health surveillance and information systems.

    PubMed

    Gater, R; Chisholm, D; Dowrick, C

    2015-09-28

    Routine information systems for mental health in many Eastern Mediterranean Region countries are rudimentary or absent, making it difficult to understand the needs of local populations and to plan accordingly. Key components for mental health surveillance and information systems are: national commitment and leadership to ensure that relevant high quality information is collected and reported; a minimum data set of key mental health indicators; intersectoral collaboration with appropriate data sharing; routine data collection supplemented with periodic surveys; quality control and confidentiality; and technology and skills to support data collection, sharing and dissemination. Priority strategic interventions include: (1) periodically assessing and reporting the mental health resources and capacities available using standardized methodologies; (2) routine collection of information and reporting on service availability, coverage and continuity, for priority mental disorders disaggregated by age, sex and diagnosis; and (3) mandatory recording and reporting of suicides at the national level (using relevant ICD codes).

  16. VISSTM: : A Video Intelligent Surveillance System

    NASA Astrophysics Data System (ADS)

    Berriss, William P.; Price, Wayne G.; Bober, Miroslaw Z.

    2002-12-01

    Video surveillance is gaining increasing popularity as a possible response to various threats such as terrorism, vandalism and crime. The need for automated analysis of the events monitored by video cameras and support for fast search and browsing of such recorded video data is evident. In this paper we present VISSTM, a prototype system that uses advanced video segmentation and MPEG-7 technology to analyse and index visual events in real time. Visual features such as shape, colour and texture are extracted and used to describe the images stored on the system. A search of large volumes of data can be performed very quickly. We show examples of the fast search made possible with VISSTM.

  17. Programmed health surveillance and detection of emerging diseases in occupational health: contribution of the French national occupational disease surveillance and prevention network (RNV3P).

    PubMed

    Bonneterre, Vincent; Faisandier, Laurie; Bicout, Dominique; Bernardet, Cyril; Piollat, Jacques; Ameille, Jacques; de Clavière, Caroline; Aptel, Michel; Lasfargues, Gérard; de Gaudemaris, Régis

    2010-03-01

    The French national occupational disease surveillance and prevention network (RNV3P) includes the 30 occupational disease consultation centres in university hospitals to which patients are referred for potentially work-related diseases, and an occupational health service. The aim of this work is to demonstrate the contribution of RNV3P to national health surveillance. Data from consultations are recorded in standardised occupational health reports and coded using international or national classifications. Programmed health surveillance is carried out through annual follow-up of annual referrals to experts for pre-selected disease-exposure associations, as well as incidence estimations for the well characterised working population followed by the occupational health service. Hypotheses on new emerging diseases are generated using statistical methods employed in pharmacosurveillance and by modelling as an exposome to analyse multiple exposures. 58,777 occupational health reports were collected and analysed from 2001 to 2007. Referrals to the 30 university hospital centres increased significantly for asbestos-related diseases, mood disorders and adjustment disorders related to psychological and organisational demands, and for elbow and shoulder disorders related to manual handling. Referrals significantly decreased for asthma and for rhinitis related to exposure to organic dusts (vegetable or animal) or chemicals, except for cosmetics and cleaning products. Estimation of incidences by the occupational health services showed different patterns in different sectors of activity. The methods for detecting emerging diseases are presented and illustrated using the example of systemic sclerosis, identifying new exposures and new sectors of activity to be investigated. The RNV3P collects data from two complementary samples: 30 university hospital centres (workers or former workers) and an occupational health service (current workers). This dual approach is useful for

  18. Traffic Flow Wide-Area Surveillance system

    SciTech Connect

    Allgood, G.O.; Ferrell, R.K.; Kercel, S.W.; Abston, R.A.

    1994-09-01

    Traffic management can be thought of as a stochastic queuing process where the serving time at one of its control points is dynamically linked to the global traffic pattern, which is, in turn, dynamically linked to the control point. For this closed-loop system to be effective, the traffic management system must sense and interpret a large spatial projection of data originating from multiple sensor suites. This concept is the basis for the development of a Traffic Flow Wide-Area Surveillance (TFWAS) system. This paper presents the results of a study by Oak Ridge National Laboratory to define the operational specifications and characteristics, to determine the constraints, and to examine the state of technology of a TFWAS system in terms of traffic management and control. In doing so, the functions and attributes of a TFWAS system are mapped into an operational structure consistent with the Intelligent Vehicle Highway System (IVHS) concept and the existing highway infrastructure. This mapping includes identifying candidate sensor suites and establishing criteria, requirements, and performance measures by which these systems can be graded in their ability and practicality to meet the operational requirements of a TFWAS system. In light of this, issues such as system integration, applicable technologies, impact on traffic management and control, and public acceptance are addressed.

  19. Work-related lung-disease surveillance report

    SciTech Connect

    Not Available

    1991-10-01

    Surveillance data for various occupational respiratory diseases were summarized. Some data originated from programs administered by the Division of Respiratory Disease Studies from NIOSH such as the Coal Workers' X-Ray Surveillance Program and the National Coal Workers' Autopsy Study. Other data was taken from publications, reports, and tapes provided by the National Center for Health Statistics, the Bureau of Labor Statistics, the Mine Safety and Health Administration, OSHA, the Health Care Financing Administration and the Social Security Administration. The report had two sections. The first section contained 21 figures displaying data from tables and the second section contained 59 tables. Subjects covered in the data include coal workers' pneumoconioses, asbestosis, silicosis, exposure to cotton dust, pneumopathy due to inhalation of other dust, hypersensitivity pneumonitis, toxic agents, dust diseases of the lung, and compensation.

  20. Viral Metagenomics on Blood-Feeding Arthropods as a Tool for Human Disease Surveillance.

    PubMed

    Brinkmann, Annika; Nitsche, Andreas; Kohl, Claudia

    2016-10-19

    Surveillance and monitoring of viral pathogens circulating in humans and wildlife, together with the identification of emerging infectious diseases (EIDs), are critical for the prediction of future disease outbreaks and epidemics at an early stage. It is advisable to sample a broad range of vertebrates and invertebrates at different temporospatial levels on a regular basis to detect possible candidate viruses at their natural source. However, virus surveillance systems can be expensive, costly in terms of finances and resources and inadequate for sampling sufficient numbers of different host species over space and time. Recent publications have presented the concept of a new virus surveillance system, coining the terms "flying biological syringes", "xenosurveillance" and "vector-enabled metagenomics". According to these novel and promising surveillance approaches, viral metagenomics on engorged mosquitoes might reflect the viral diversity of numerous mammals, birds and humans, combined in the mosquitoes' blood meal during feeding on the host. In this review article, we summarize the literature on vector-enabled metagenomics (VEM) techniques and its application in disease surveillance in humans. Furthermore, we highlight the combination of VEM and "invertebrate-derived DNA" (iDNA) analysis to identify the host DNA within the mosquito midgut.

  1. Viral Metagenomics on Blood-Feeding Arthropods as a Tool for Human Disease Surveillance

    PubMed Central

    Brinkmann, Annika; Nitsche, Andreas; Kohl, Claudia

    2016-01-01

    Surveillance and monitoring of viral pathogens circulating in humans and wildlife, together with the identification of emerging infectious diseases (EIDs), are critical for the prediction of future disease outbreaks and epidemics at an early stage. It is advisable to sample a broad range of vertebrates and invertebrates at different temporospatial levels on a regular basis to detect possible candidate viruses at their natural source. However, virus surveillance systems can be expensive, costly in terms of finances and resources and inadequate for sampling sufficient numbers of different host species over space and time. Recent publications have presented the concept of a new virus surveillance system, coining the terms “flying biological syringes”, “xenosurveillance” and “vector-enabled metagenomics”. According to these novel and promising surveillance approaches, viral metagenomics on engorged mosquitoes might reflect the viral diversity of numerous mammals, birds and humans, combined in the mosquitoes’ blood meal during feeding on the host. In this review article, we summarize the literature on vector-enabled metagenomics (VEM) techniques and its application in disease surveillance in humans. Furthermore, we highlight the combination of VEM and “invertebrate-derived DNA” (iDNA) analysis to identify the host DNA within the mosquito midgut. PMID:27775568

  2. Profile: The Karonga Health and Demographic Surveillance System

    PubMed Central

    Crampin, Amelia C; Dube, Albert; Mboma, Sebastian; Price, Alison; Chihana, Menard; Jahn, Andreas; Baschieri, Angela; Molesworth, Anna; Mwaiyeghele, Elnaeus; Branson, Keith; Floyd, Sian; McGrath, Nuala; Fine, Paul E M; French, Neil; Glynn, Judith R; Zaba, Basia

    2012-01-01

    The Karonga Health and Demographic Surveillance System (Karonga HDSS) in northern Malawi currently has a population of more than 35 000 individuals under continuous demographic surveillance since completion of a baseline census (2002–2004). The surveillance system collects data on vital events and migration for individuals and for households. It also provides data on cause-specific mortality obtained by verbal autopsy for all age groups, and estimates rates of disease for specific presentations via linkage to clinical facility data. The Karonga HDSS provides a structure for surveys of socio-economic status, HIV sero-prevalence and incidence, sexual behaviour, fertility intentions and a sampling frame for other studies, as well as evaluating the impact of interventions, such as antiretroviral therapy and vaccination programmes. Uniquely, it relies on a network of village informants to report vital events and household moves, and furthermore is linked to an archive of biological samples and data from population surveys and other studies dating back three decades. PMID:22729235

  3. The Evolution and Expansion of Regional Disease Surveillance Networks and Their Role in Mitigating the Threat of Infectious Disease Outbreaks

    PubMed Central

    Bond, Katherine C.; Macfarlane, Sarah B.; Burke, Charlanne; Ungchusak, Kumnuan; Wibulpolprasert, Suwit

    2013-01-01

    We examine the emergence, development, and value of regional infectious disease surveillance networks that neighboring countries worldwide are organizing to control cross-border outbreaks at their source. The regional perspective represented in the paper is intended to serve as an instructive framework for others who decide to launch such networks as new technologies and emerging threats bring countries even closer together. Distinct from more formal networks in geographic regions designated by the World Health Organization (WHO), these networks usually involve groupings of fewer countries chosen by national governments to optimize surveillance efforts. Sometimes referred to as sub-regional, these “self-organizing” networks complement national and local government recognition with informal relationships across borders among epidemiologists, scientists, ministry officials, health workers, border officers, and community members. Their development over time reflects both incremental learning and growing connections among network actors; and changing disease patterns, with infectious disease threats shifting over time from local to regional to global levels. Not only has this regional disease surveillance network model expanded across the globe, it has also expanded from a mostly practitioner-based network model to one that covers training, capacity-building, and multidisciplinary research. Today, several of these networks are linked through Connecting Organizations for Regional Disease Surveillance (CORDS). We explore how regional disease surveillance networks add value to global disease detection and response by complementing other systems and efforts, by harnessing their power to achieve other goals such as health and human security, and by helping countries adapt to complex challenges via multi-sectoral solutions. We note that governmental commitment and trust among participating individuals are critical to the success of regional infectious disease

  4. Department of Defense influenza and other respiratory disease surveillance during the 2009 pandemic

    PubMed Central

    2011-01-01

    The Armed Forces Health Surveillance Center’s Division of Global Emerging Infections Surveillance and Response System (AFHSC-GEIS) supports and oversees surveillance for emerging infectious diseases, including respiratory diseases, of importance to the U.S. Department of Defense (DoD). AFHSC-GEIS accomplishes this mission by providing funding and oversight to a global network of partners for respiratory disease surveillance. This report details the system’s surveillance activities during 2009, with a focus on efforts in responding to the novel H1N1 Influenza A (A/H1N1) pandemic and contributions to global public health. Active surveillance networks established by AFHSC-GEIS partners resulted in the initial detection of novel A/H1N1 influenza in the U.S. and several other countries, and viruses isolated from these activities were used as seed strains for the 2009 pandemic influenza vaccine. Partners also provided diagnostic laboratory training and capacity building to host nations to assist with the novel A/H1N1 pandemic global response, adapted a Food and Drug Administration-approved assay for use on a ruggedized polymerase chain reaction platform for diagnosing novel A/H1N1 in remote settings, and provided estimates of seasonal vaccine effectiveness against novel A/H1N1 illness. Regular reporting of the system’s worldwide surveillance findings to the global public health community enabled leaders to make informed decisions on disease mitigation measures and controls for the 2009 A/H1N1 influenza pandemic. AFHSC-GEIS’s support of a global network contributes to DoD’s force health protection, while supporting global public health. PMID:21388566

  5. SURVEILLANCE FOR WATERBORNE-DISEASE OUTBREAKS - UNITED STATES, 1999-2000

    EPA Science Inventory

    PROBLEM/CONDITION: Since 1971, CDC, the U.S. Environmental Protection Agency (EPA), and the Council of State and Territorial Epidemiologists (CSTE) have maintained a collaborative surveillance system for the occurrences and causes of waterborne-disease outbreaks (WBDOs).This surv...

  6. SURVEILLANCE FOR WATERBORNE-DISEASE OUTBREAKS-UNITED STATES, 1997-1998

    EPA Science Inventory

    PROBLEM/CONDITION: Since 1971, CDC and the U.S. Environmental Protection Agency (EPA) have maintained a collaborative surveillance system for collecting and periodically reporting data relating to occurrences and causes of waterborne-disease outbreaks (WBDOs). REPORTING PERIOD CO...

  7. SURVEILLANCE FOR WATERBORNE-DISEASE OUTBREAKS - UNITED STATES, 1999-2000

    EPA Science Inventory

    PROBLEM/CONDITION: Since 1971, CDC, the U.S. Environmental Protection Agency (EPA), and the Council of State and Territorial Epidemiologists (CSTE) have maintained a collaborative surveillance system for the occurrences and causes of waterborne-disease outbreaks (WBDOs).This surv...

  8. Sparks creating light? Strengthening peripheral disease surveillance in the Democratic Republic of Congo

    PubMed Central

    Mossoko, M.; Nyakio Kakusu, J. P.; Nyembo, J.; Mangion, J. P.; Van Laeken, D.; Van den Bergh, R.; Van den Boogaard, W.; Manzi, M.; Kibango, W. K.; Hermans, V.; Beijnsberger, J.; Lambert, V.; Kitenge, E.

    2016-01-01

    Setting: The Democratic Republic of Congo suffers from an amalgam of disease outbreaks and other medical emergencies. An efficient response to these relies strongly on the national surveillance system. The Pool d'Urgence Congo (PUC, Congo Emergency Team) of Médecins Sans Frontières is a project that responds to emergencies in highly remote areas through short-term vertical interventions, during which it uses the opportunity of its presence to reinforce the local surveillance system. Objective: To investigate whether the ancillary strengthening of the peripheral surveillance system during short-term interventions leads to improved disease notification. Design: A descriptive paired study measuring disease notification before and after 12 PUC interventions in 2013–2014. Results: A significant increase in disease notification was observed after seven mass-vaccination campaigns and was sustained over 6 months. For the remaining five smaller-scaled interventions, no significant effects were observed. Conclusion: The observed improvements after even short-term interventions underline, on the one hand, how external emergency actors can positively affect the system through their punctuated actions, and, on the other hand, the dire need for investment in surveillance at peripheral level. PMID:27358796

  9. SURVEILLANCE FOR WATERBORNE-DISEASE OUTBREAKS-UNITED STATES, 1997-1998

    EPA Science Inventory

    PROBLEM/CONDITION: Since 1971, CDC and the U.S. Environmental Protection Agency (EPA) have maintained a collaborative surveillance system for collecting and periodically reporting data relating to occurrences and causes of waterborne-disease outbreaks (WBDOs). REPORTING PERIOD CO...

  10. Challenges to implementing communicable disease surveillance in New York City evacuation shelters after Hurricane Sandy, November 2012.

    PubMed

    Ridpath, Alison D; Bregman, Brooke; Jones, Lucretia; Reddy, Vasudha; Waechter, HaeNa; Balter, Sharon

    2015-01-01

    Hurricane Sandy hit New York City (NYC) on October 29, 2012. Before and after the storm, 73 temporary evacuation shelters were established. The total census of these shelters peaked at approximately 6,800 individuals. Concern about the spread of communicable diseases in shelters prompted the NYC Department of Health and Mental Hygiene (DOHMH) to rapidly develop a surveillance system to report communicable diseases and emergency department transports from shelters. We describe the implementation of this system. Establishing effective surveillance in temporary shelters was challenging and required in-person visits by DOHMH staff to ensure reporting. After system establishment, surveillance data were used to identify some potential disease clusters. For the future, we recommend pre-event planning for disease surveillance.

  11. Challenges to Implementing Communicable Disease Surveillance in New York City Evacuation Shelters After Hurricane Sandy, November 2012

    PubMed Central

    Ridpath, Alison D.; Bregman, Brooke; Jones, Lucretia; Reddy, Vasudha; Waechter, HaeNa

    2015-01-01

    Hurricane Sandy hit New York City (NYC) on October 29, 2012. Before and after the storm, 73 temporary evacuation shelters were established. The total census of these shelters peaked at approximately 6,800 individuals. Concern about the spread of communicable diseases in shelters prompted the NYC Department of Health and Mental Hygiene (DOHMH) to rapidly develop a surveillance system to report communicable diseases and emergency department transports from shelters. We describe the implementation of this system. Establishing effective surveillance in temporary shelters was challenging and required in-person visits by DOHMH staff to ensure reporting. After system establishment, surveillance data were used to identify some potential disease clusters. For the future, we recommend pre-event planning for disease surveillance. PMID:25552754

  12. SAGES: A Suite of Freely-Available Software Tools for Electronic Disease Surveillance in Resource-Limited Settings

    PubMed Central

    Lewis, Sheri L.; Feighner, Brian H.; Loschen, Wayne A.; Wojcik, Richard A.; Skora, Joseph F.; Coberly, Jacqueline S.; Blazes, David L.

    2011-01-01

    Public health surveillance is undergoing a revolution driven by advances in the field of information technology. Many countries have experienced vast improvements in the collection, ingestion, analysis, visualization, and dissemination of public health data. Resource-limited countries have lagged behind due to challenges in information technology infrastructure, public health resources, and the costs of proprietary software. The Suite for Automated Global Electronic bioSurveillance (SAGES) is a collection of modular, flexible, freely-available software tools for electronic disease surveillance in resource-limited settings. One or more SAGES tools may be used in concert with existing surveillance applications or the SAGES tools may be used en masse for an end-to-end biosurveillance capability. This flexibility allows for the development of an inexpensive, customized, and sustainable disease surveillance system. The ability to rapidly assess anomalous disease activity may lead to more efficient use of limited resources and better compliance with World Health Organization International Health Regulations. PMID:21572957

  13. SAGES: a suite of freely-available software tools for electronic disease surveillance in resource-limited settings.

    PubMed

    Lewis, Sheri L; Feighner, Brian H; Loschen, Wayne A; Wojcik, Richard A; Skora, Joseph F; Coberly, Jacqueline S; Blazes, David L

    2011-05-10

    Public health surveillance is undergoing a revolution driven by advances in the field of information technology. Many countries have experienced vast improvements in the collection, ingestion, analysis, visualization, and dissemination of public health data. Resource-limited countries have lagged behind due to challenges in information technology infrastructure, public health resources, and the costs of proprietary software. The Suite for Automated Global Electronic bioSurveillance (SAGES) is a collection of modular, flexible, freely-available software tools for electronic disease surveillance in resource-limited settings. One or more SAGES tools may be used in concert with existing surveillance applications or the SAGES tools may be used en masse for an end-to-end biosurveillance capability. This flexibility allows for the development of an inexpensive, customized, and sustainable disease surveillance system. The ability to rapidly assess anomalous disease activity may lead to more efficient use of limited resources and better compliance with World Health Organization International Health Regulations.

  14. Corporation-induced Diseases, Upstream Epidemiologic Surveillance, and Urban Health

    PubMed Central

    2008-01-01

    Corporation-induced diseases are defined as diseases of consumers, workers, or community residents who have been exposed to disease agents contained in corporate products. To study the epidemiology and to guide expanded surveillance of these diseases, a new analytical framework is proposed. This framework is based on the agent–host–environment model and the upstream multilevel epidemiologic approach and posits an epidemiologic cascade starting with government-sanctioned corporate profit making and ending in a social cost, i.e., harm to population health. Each of the framework’s levels addresses a specific level of analysis, including government, corporations, corporate conduits, the environment of the host, and the host. The explained variable at one level is also the explanatory variable at the next lower level. In this way, a causal chain can be followed along the epidemiologic cascade from the site of societal power down to the host. The framework thus describes the pathways by which corporate decisions filter down to disease production in the host and identifies opportunities for epidemiologic surveillance. Since the environment of city dwellers is strongly shaped by corporations that are far upstream and several levels away, the framework has relevance for the study of urban health. Corporations that influence the health of urban populations include developers and financial corporations that determine growth or decay of urban neighborhoods, as well as companies that use strategies based on neighborhood characteristics to sell products that harm consumer health. Epidemiological inquiry and surveillance are necessary at all levels to provide the knowledge needed for action to protect the health of the population. To achieve optimal inquiry and surveillance at the uppermost levels, epidemiologists will have to work with political scientists and other social scientists and to utilize novel sources of information. PMID:18437580

  15. Corporation-induced diseases, upstream epidemiologic surveillance, and urban health.

    PubMed

    Jahiel, René I

    2008-07-01

    Corporation-induced diseases are defined as diseases of consumers, workers, or community residents who have been exposed to disease agents contained in corporate products. To study the epidemiology and to guide expanded surveillance of these diseases, a new analytical framework is proposed. This framework is based on the agent-host-environment model and the upstream multilevel epidemiologic approach and posits an epidemiologic cascade starting with government-sanctioned corporate profit making and ending in a social cost, i.e., harm to population health. Each of the framework's levels addresses a specific level of analysis, including government, corporations, corporate conduits, the environment of the host, and the host. The explained variable at one level is also the explanatory variable at the next lower level. In this way, a causal chain can be followed along the epidemiologic cascade from the site of societal power down to the host. The framework thus describes the pathways by which corporate decisions filter down to disease production in the host and identifies opportunities for epidemiologic surveillance. Since the environment of city dwellers is strongly shaped by corporations that are far upstream and several levels away, the framework has relevance for the study of urban health. Corporations that influence the health of urban populations include developers and financial corporations that determine growth or decay of urban neighborhoods, as well as companies that use strategies based on neighborhood characteristics to sell products that harm consumer health. Epidemiological inquiry and surveillance are necessary at all levels to provide the knowledge needed for action to protect the health of the population. To achieve optimal inquiry and surveillance at the uppermost levels, epidemiologists will have to work with political scientists and other social scientists and to utilize novel sources of information.

  16. Digital disease detection and participatory surveillance: overview and perspectives for Brazil

    PubMed Central

    Leal-Neto, Onicio B; Dimech, George S; Libel, Marlo; Oliveira, Wanderson; Ferreira, Juliana Perazzo

    2016-01-01

    ABSTRACT This study aimed to describe the digital disease detection and participatory surveillance in different countries. The systems or platforms consolidated in the scientific field were analyzed by describing the strategy, type of data source, main objectives, and manner of interaction with users. Eleven systems or platforms, developed from 1996 to 2016, were analyzed. There was a higher frequency of data mining on the web and active crowdsourcing as well as a trend in the use of mobile applications. It is important to provoke debate in the academia and health services for the evolution of methods and insights into participatory surveillance in the digital age. PMID:27191153

  17. Mekong Basin Disease Surveillance (MBDS): A Trust-Based Network

    PubMed Central

    Phommasack, Bounlay; Jiraphongsa, Chuleeporn; Ko Oo, Moe; Bond, Katherine C.; Phaholyothin, Natalie; Suphanchaimat, Rapeepong; Ungchusak, Kumnuan; Macfarlane, Sarah B.

    2013-01-01

    The Mekong Basin Disease Surveillance (MBDS) network was formally established in 2001 through a Memorandum of Understanding signed by six Ministers of Health of the countries in the Greater Mekong sub-region: Cambodia, China (Yunnan and Guangxi), Lao PDR, Myanmar, Thailand and Vietnam. The main areas of focus of the network are to: i) improve cross-border infectious disease outbreak investigation and response by sharing surveillance data and best practices in disease recognition and reporting, and by jointly responding to outbreaks; ii) develop expertise in epidemiological surveillance across the countries; and iii) enhance communication between the countries. Comprised of senior health officials, epidemiologists, health practitioners, and other professionals, the MBDS has grown and matured over the years into an entity based on mutual trust that can be sustained into the future. Other regions have started emulating the network's pioneering work. In this paper, we describe the development of MBDS, the way in which it operates today, and some of its achievements. We present key challenges the network has faced and lessons its members have learned about how to develop sufficient trust for health and other professionals to alert each other to disease threats across national borders and thereby more effectively combat these threats. PMID:23362411

  18. Asset surveillance system: apparatus and method

    NASA Technical Reports Server (NTRS)

    Bickford, Randall L. (Inventor)

    2007-01-01

    System and method for providing surveillance of an asset comprised of numerically fitting at least one mathematical model to obtained residual data correlative to asset operation; storing at least one mathematical model in a memory; obtaining a current set of signal data from the asset; retrieving at least one mathematical model from the memory, using the retrieved mathematical model in a sequential hypothesis test for determining if the current set of signal data is indicative of a fault condition; determining an asset fault cause correlative to a determined indication of a fault condition; providing an indication correlative to a determined fault cause, and an action when warranted. The residual data can be mode partitioned, a current mode of operation can be determined from the asset, and at least one mathematical model can be retrieved from the memory as a function of the determined mode of operation.

  19. Integrating Remote Sensing and Disease Surveillance to Forecast Malaria Epidemics

    NASA Astrophysics Data System (ADS)

    Wimberly, M. C.; Beyane, B.; DeVos, M.; Liu, Y.; Merkord, C. L.; Mihretie, A.

    2015-12-01

    Advance information about the timing and locations of malaria epidemics can facilitate the targeting of resources for prevention and emergency response. Early detection methods can detect incipient outbreaks by identifying deviations from expected seasonal patterns, whereas early warning approaches typically forecast future malaria risk based on lagged responses to meteorological factors. A critical limiting factor for implementing either of these approaches is the need for timely and consistent acquisition, processing and analysis of both environmental and epidemiological data. To address this need, we have developed EPIDEMIA - an integrated system for surveillance and forecasting of malaria epidemics. The EPIDEMIA system includes a public health interface for uploading and querying weekly surveillance reports as well as algorithms for automatically validating incoming data and updating the epidemiological surveillance database. The newly released EASTWeb 2.0 software application automatically downloads, processes, and summaries remotely-sensed environmental data from multiple earth science data archives. EASTWeb was implemented as a component of the EPIDEMIA system, which combines the environmental monitoring data and epidemiological surveillance data into a unified database that supports both early detection and early warning models. Dynamic linear models implemented with Kalman filtering were used to carry out forecasting and model updating. Preliminary forecasts have been disseminated to public health partners in the Amhara Region of Ethiopia and will be validated and refined as the EPIDEMIA system ingests new data. In addition to continued model development and testing, future work will involve updating the public health interface to provide a broader suite of outbreak alerts and data visualization tools that are useful to our public health partners. The EPIDEMIA system demonstrates a feasible approach to synthesizing the information from epidemiological

  20. Feasibility Assessment of Using Geoinformatics Technology in Disaster Disease Surveillance in a Developing Country, Iran

    PubMed Central

    Faruque, Md Omar; Holakouie Naieni, Kourosh; Ardalan, Ali; Ahmadnezhad, Elham; Mohammadinia, Leila

    2015-01-01

    Background and purpose: Geoinformatics technology retains an unprecedented trait of performing with a supersonic speed and precision in public health management whereas the existing disease surveillance systems in developing countries lack using this technology. This article aims to assess the feasibility of using geoinformatics technology in disaster disease surveillance in a developing country, Iran. Methods: A self-administered questionnaire was developed based on technology acceptance model (TAM), and a semi-quantitative survey was conducted in order to collect data. Fifty TUMS & HS personnel, currently involve in disease surveillance and information technology, were included. Initially, a pilot study was conducted to test the validity and reliability of the questionnaire. Cronbach alpha, confirmatory factor analysis (CFA), and standard error of measurement (SEM) were calculated to validate the causal model. Results: The results from structural equation analysis suggested that TAM provided a constructive picture of using geoinformatics technology in disaster disease surveillance at TUMS &HS. The study found attitude (ATT) had a significant influence on participants intention to use (ITU) a new technology, and perceived ease of use (PEOU) was a strong determinant of perceived of usefulness (PU). Subsequently, PU and PEOU explained ATT substantially; even though the analysis showed insignificant statistical association among these constructs. The high R2 (Coefficient of determination) of the constructs described respondents positive instinct towards accepting a new technology. Conclusion: The study reveals that personnel intent to adopt geoinformatics technology in disaster disease surveillance; and at the same time, they possess a positive attitude towards the technology. This study also found PEOU has a strong influence on PU, so information sessions and training on geoinformatics technology need to focus primarily on the applications and impacts of technology

  1. National surveillance capacity of water-related diseases in the WHO European region.

    PubMed

    Blasi, M; Carere, M; Funari, E

    2011-12-01

    Water-related diseases continue to cause a high burden of mortality and morbidity in the countries of the European Region. Parties to the Protocol on Water and Health are committed to the sustainable use of water resources, the provision of safe drinking water and adequate sanitation to all people of the European Region, and to the reduction of the burden of water-related diseases. A specialized Task Force is implementing a work plan aimed at strengthening the capacity for water-related disease surveillance, outbreak detection and contingency planning. Parties to the Protocol are obliged to set targets, and report on progress on water-related disease surveillance. The present paper aims to provide a baseline assessment of national capacities for water-related disease surveillance on the basis of the replies to a questionnaire. This was prepared in English and Russian and administered to 53 countries, 15 of which replied. The results confirm the heterogeneity in surveillance systems, the weakness of many countries to adequately survey emerging water-related diseases, and the need for specific remedial action. The findings of the exercise will form the basis for future action under the Protocol on Water and Health.

  2. Alternative methods for computing the sensitivity of complex surveillance systems.

    PubMed

    Hood, G M; Barry, S C; Martin, P A J

    2009-12-01

    Stochastic scenario trees are a new and popular method by which surveillance systems can be analyzed to demonstrate freedom from pests and disease. For multiple component systems-such as a combination of a serological survey and systematically collected observations-it can be difficult to represent the complete system in a tree because many branches are required to represent complex conditional relationships. Here we show that many of the branches of some scenario trees have identical outcomes and are therefore redundant. We demonstrate how to prune branches and derive compact representations of scenario trees using matrix algebra and Bayesian belief networks. The Bayesian network representation is particularly useful for calculation and exposition. It therefore provides a firm basis for arguing disease freedom in international forums.

  3. Existing public health surveillance systems for mental health in China.

    PubMed

    Zhou, Wei; Xiao, Shuiyuan

    2015-01-01

    Mental health is a challenging public health issue worldwide and surveillance is crucial for it. However, mental health surveillance has not been developed until recently in certain developed countries; many other countries, especially developing countries, have poor or even no health information systems. This paper presents surveillance related to mental health in China, a developing country with a large population of patients with mental disorders. Detailed information of seven relevant surveillance systems is introduced respectively. From the perspective of utilization, problems including accessibility, comprehensiveness and data quality are discussed. Suggestions for future development are proposed.

  4. A Decade of Invasive Meningococcal Disease Surveillance in Poland

    PubMed Central

    Skoczyńska, Anna; Waśko, Izabela; Kuch, Alicja; Kadłubowski, Marcin; Gołębiewska, Agnieszka; Foryś, Małgorzata; Markowska, Marlena; Ronkiewicz, Patrycja; Wasiak, Katarzyna; Kozińska, Aleksandra; Matynia, Bożena; Hryniewicz, Waleria

    2013-01-01

    Background Neisseria meningitidis is a leading etiologic agent of severe invasive disease. The objective of the study was to characterise invasive meningococcal disease (IMD) epidemiology in Poland during the last decade, based on laboratory confirmed cases. Methods The study encompassed all invasive meningococci collected between 2002 and 2011 in the National Reference Centre for Bacterial Meningitis. The isolates were re-identified and characterised by susceptibility testing, MLST analysis, porA and fetA sequencing. A PCR technique was used for meningococcal identification directly from clinical materials. Results In the period studied, 1936 cases of IMD were confirmed, including 75.6% identified by culture. Seven IMD outbreaks, affecting mostly adolescents, were reported; all were caused by serogroup C meningococci of ST-11. The highest incidence was observed among children under one year of age (15.71/100,000 in 2011). The general case fatality rate in the years 2010–2011 was 10.0%. Meningococci of serogroup B, C, Y and W-135 were responsible for 48.8%, 36.6%, 1.2% and 1.2% of cases, respectively. All isolates were susceptible to third generation cephalosporins, chloramphenicol, ciprofloxacin, and 84.2% were susceptible to penicillin. MLST analysis (2009–2011) revealed that among serogroup B isolates the most represented were clonal complexes (CC) ST-32CC, ST-18CC, ST-41/44CC, ST-213CC and ST-269CC, and among serogroup C: ST-103CC, ST-41/44CC and ST-11CC. Conclusions The detection of IMD in Poland has changed over time, but observed increase in the incidence of the disease was mostly attributed to changes in the surveillance system including an expanded case definition and inclusion of data from non-culture diagnostics. PMID:23977184

  5. The value of community participation in disease surveillance: a case study from Niger.

    PubMed

    Ndiaye, Serigne M; Quick, Linda; Sanda, Ousmane; Niandou, Seydou

    2003-06-01

    A team of researchers, including one behavioral scientist (S.M.N.) and three epidemiologists (L.Q., O.S. and S.N.) conducted community analyses to assess the social and cultural factors that affect the detection and reporting of disease cases in a surveillance system, using acute flaccid paralysis (AFP) surveillance in Niger as a case study. Over a 60-day period in the country, the research team reviewed written field reports and interviewed epidemiologists, nurses, community members and persons in governmental and non-governmental organizations. Overall, we found that the logistical difficulties of travel and communication, which are common in developing countries, constrain the conventional surveillance system that relies on epidemiologists visiting sites to discover and investigate cases, particularly in rural areas. Other challenges include: community members' lack of knowledge about the possible link between a case of paralysis and a dangerous, communicable disease; lack of access to health care, including the low number of clinics and health care workers; cultural beliefs that favor seeking a local healer before consulting a nurse or physician; and health workers' lack of training in AFP surveillance. The quality of surveillance in developing countries can improve if a community-based approach is adopted. Such a system has been used successfully in Niger during smallpox-eradication and guinea worm-control campaigns. In a community-based system, community members receive basic education or more extensive training to motivate and enable them to notify health care staff about possible cases of disease in a timely fashion. Local organizations, local projects and local leaders must be included to ensure the success of such a program. In Niger we found sufficient quantities of this type of social capital, along with enough local experience of past health campaigns, to suggest that a community-based approach can improve the level of comprehensiveness and sensitivity

  6. Use of court records for supplementing occupational disease surveillance.

    PubMed Central

    Schwartz, E; Landrigan, P

    1987-01-01

    To conduct surveillance of occupationally related health events, the New Hampshire Division of Public Health Services analyzes death certificates and workers' compensation claims. In an effort to bolster these limited data sources, a previously unrecognized data-set comprised of court records was explored. Court records obtained from the Federal District Court proved to be a readily accessible and detailed source of information for identifying suspected cases of asbestos-related disease and potential sources of asbestos exposure. PMID:2959164

  7. New endoscopic imaging techniques in surveillance of inflammatory bowel disease

    PubMed Central

    Gabbani, Tommaso; Manetti, Natalia; Bonanomi, Andrea Giovanni; Annese, Antonio Luca; Annese, Vito

    2015-01-01

    Endoscopy plays a crucial role in the management of inflammatory bowel disease (IBD). Advances imaging techniques allow visualization of mucosal details, tissue characteristics and cellular alteration. In particular chromoendoscopy, magnification endoscopy, confocal laser endomicroscopy and endocytoscopy seem to have the possibility to radically modify the approach to surveillance and decision making. Dye-based chromoendoscopy (DBC) and magnification chromoendoscopy improve detection of dysplasia, and evaluation of inflammatory activity and extension of ulcerative colitis and are thus considered the standard of care. Dye-less chromoendoscopy could probably replace conventional DBC for surveillance. Narrow band imaging and i-scan have shown to improve activity and extent assessment in comparison to white-light endoscopy. Confocal laser endomicroscopy (CLE) can detect more dysplastic lesions in surveillance colonoscopy and predict neoplastic and inflammatory changes with high accuracy compared to histology. This technology is best used in conjunction with chromoendoscopy, narrow-band imaging, or autofluorescence because of its minute scanning area. This combination is useful for appropriate tissue classification of mucosal lesions already detected by standard or optically enhanced endoscopy. The best combination for IBD surveillance appear to be chromoendoscopy for identification of areas of suspicion, with further examination with CLE to detect intraepithelial neoplasia. However cost, availability, and experience are still an issue. PMID:25789093

  8. Surveillance of wildlife zoonotic diseases in the Balkans Region.

    PubMed

    Hukić, Mirsada; Numanović, Fatima; Sisirak, Maida; Moro, Almedina; Dervović, Edina; Jakovec, Sanja; Besić, Irma Salimović

    2010-08-01

    The countries of the Balkan Peninsula have become the region with frequent outbreaks of the emerging and re-emerging diseases during the last decade of the 20th and the first decade of the 21st century. The majority of outbreaks were wildlife zoonotic, and vector-borne diseases, such as brucellosis, leptospirosis, listeriosis, tularemia, Q-fever, Lyme disease, anthrax, rabies, viral hemorrhagic fevers, sandfly fever, tick-borne encephalitis and leishmainiasis. Epidemiological factors determined by ecology of causative agents are often the most useful diagnostic clues. The recognition of evolving problems of emerging and re-emerging diseases emphasizes the need for the development of better laboratory diagnostic methods for the surveillance and tracking of the diseases, and for continued research of factors contributing to the transmission of the organisms. The continuous occurrence of previously unidentified infections requires prospective national strategies for timely recognition of the syndromes, causative agent identification, establishment of criteria and methods for the diagnosis, optimization of the treatment regime, and determination of successful approaches to prevention and control. Wildlife diseases surveillance in the most of the Balkan countries has been coordinated by the WHO since 1992. Although new technology and communication have extremely improved in the last decade, there is a need for optimal communication lines among the Balkan countries, better exploitation of communication technologies like the Internet and other media in the field of emerging diseases.

  9. Sampling considerations for disease surveillance in wildlife populations

    USGS Publications Warehouse

    Nusser, S.M.; Clark, W.R.; Otis, D.L.; Huang, L.

    2008-01-01

    Disease surveillance in wildlife populations involves detecting the presence of a disease, characterizing its prevalence and spread, and subsequent monitoring. A probability sample of animals selected from the population and corresponding estimators of disease prevalence and detection provide estimates with quantifiable statistical properties, but this approach is rarely used. Although wildlife scientists often assume probability sampling and random disease distributions to calculate sample sizes, convenience samples (i.e., samples of readily available animals) are typically used, and disease distributions are rarely random. We demonstrate how landscape-based simulation can be used to explore properties of estimators from convenience samples in relation to probability samples. We used simulation methods to model what is known about the habitat preferences of the wildlife population, the disease distribution, and the potential biases of the convenience-sample approach. Using chronic wasting disease in free-ranging deer (Odocoileus virginianus) as a simple illustration, we show that using probability sample designs with appropriate estimators provides unbiased surveillance parameter estimates but that the selection bias and coverage errors associated with convenience samples can lead to biased and misleading results. We also suggest practical alternatives to convenience samples that mix probability and convenience sampling. For example, a sample of land areas can be selected using a probability design that oversamples areas with larger animal populations, followed by harvesting of individual animals within sampled areas using a convenience sampling method.

  10. The potential capability of social media as a component of food safety and food terrorism surveillance systems.

    PubMed

    Newkirk, Ryan W; Bender, Jeff B; Hedberg, Craig W

    2012-02-01

    Social media (i.e., internet applications and platforms that allow users to create and share content) are a potentially rich data source for foodborne disease surveillance. This commentary qualitatively evaluates social media as a foodborne disease surveillance system component and discusses novel ways that social media may facilitate the detection of intentional and unintentional food contamination.

  11. Design and implementation of a national public health surveillance system in Jordan

    PubMed Central

    Sheikhali, Sami Adel; Abdallat, Mohammed; Mabdalla, Sultan; Qaseer, Bashir Al; Khorma, Rania; Malik, Mamunur; Profili, Maria Cristina; Rø, Gunnar; Haskew, John

    2016-01-01

    Understanding and improving the health status of communities depend on effective public health surveillance. Adoption of new technologies, standardised case definitions and clinical guidelines for accurate diagnosis, and access to timely and reliable data, remains a challenge for public health surveillance systems however and existing public health surveillance systems are often fragmented, disease specific, inconsistent and of poor quality. We describe the application of an enterprise architecture approach to the design, planning and implementation of a national public health surveillance system in Jordan. This enabled a well planned and collaboratively supported system to be built and implemented using consistent standards for data collection, management, reporting and use. The system is case-based and integrated and employs mobile information technology to aid collection of real-time, standardised data to inform and improve decision-making at different levels of the health system. PMID:26878763

  12. Behind the data: Establishing the Network for Surveillance for Pneumococcal Diseases in the East African Region, netSPEAR

    PubMed Central

    Amos, Ben; Kisakye, Annet; Makewa, Douglas; Mudhune, Sandra; Mwamtemi, Hadija; Nansera, Dennis; Ngwiri, Thomas; Wamae, Maranga; English, Mike

    2009-01-01

    In a region with high rates of mortality among children aged <5 years, the underfunded health care systems of sub-Saharan Africa have few resources available to perform surveillance activities that can help determine the causes of morbidity and mortality in the region. At present, there are few examples of attempts to promote public health care surveillance that might inform current debates about how to expand and improve surveillance, particularly for bacterial diseases. Driven by this gap in knowledge, we attempted to explore the successes and failures of the Network for Surveillance of Pneumococcal Disease in the East African Region and to share the experiences of what are essentially non research public-sector hospitals in East Africa, with the hopes that surveillance systems for other diseases, especially those that require complex diagnostic support, may be informed by these experiences. The state of services essential for surveillance and the measures taken to overcome any shortcomings are described, as is the progress made in improving clinical diagnosis, laboratory processing, and data management. For surveillance to play a role in public health care, ministries of health and associated institutions must own and push forward the surveillance agenda, with support from global partners, and take advantage of the developments that have been achieved within the institutions. PMID:19191612

  13. Electronic disease surveillance for sensitive population groups - the diabetics case study.

    PubMed

    Botsis, Taxiarchis; Hejlesen, Ole; Bellika, Johan Gustav; Hartvigsen, Gunnar

    2008-01-01

    Diabetics are quite susceptible to infectious diseases and can easily spread them under certain circumstances. Their blood glucose levels are increased after infection and this can cause a hyperglycemic crisis. Our study indicates that this increase results in glucosylated hemoglobin elevation, even when a diabetic is monitored closely and his/her blood glucose is under tight control. Thus, it is important to detect infections at the very early stages of disease progression in order to aid the patient. For this purpose, an electronic Disease Surveillance System could be developed to collect and analyze blood glucose data. Generally, we could extend the use of blood glucose data to the implementation of disease surveillance systems for the general population.

  14. A Hidden Markov Model for Analysis of Frontline Veterinary Data for Emerging Zoonotic Disease Surveillance

    PubMed Central

    Robertson, Colin; Sawford, Kate; Gunawardana, Walimunige S. N.; Nelson, Trisalyn A.; Nathoo, Farouk; Stephen, Craig

    2011-01-01

    Surveillance systems tracking health patterns in animals have potential for early warning of infectious disease in humans, yet there are many challenges that remain before this can be realized. Specifically, there remains the challenge of detecting early warning signals for diseases that are not known or are not part of routine surveillance for named diseases. This paper reports on the development of a hidden Markov model for analysis of frontline veterinary sentinel surveillance data from Sri Lanka. Field veterinarians collected data on syndromes and diagnoses using mobile phones. A model for submission patterns accounts for both sentinel-related and disease-related variability. Models for commonly reported cattle diagnoses were estimated separately. Region-specific weekly average prevalence was estimated for each diagnoses and partitioned into normal and abnormal periods. Visualization of state probabilities was used to indicate areas and times of unusual disease prevalence. The analysis suggests that hidden Markov modelling is a useful approach for surveillance datasets from novel populations and/or having little historical baselines. PMID:21949763

  15. A hidden Markov model for analysis of frontline veterinary data for emerging zoonotic disease surveillance.

    PubMed

    Robertson, Colin; Sawford, Kate; Gunawardana, Walimunige S N; Nelson, Trisalyn A; Nathoo, Farouk; Stephen, Craig

    2011-01-01

    Surveillance systems tracking health patterns in animals have potential for early warning of infectious disease in humans, yet there are many challenges that remain before this can be realized. Specifically, there remains the challenge of detecting early warning signals for diseases that are not known or are not part of routine surveillance for named diseases. This paper reports on the development of a hidden Markov model for analysis of frontline veterinary sentinel surveillance data from Sri Lanka. Field veterinarians collected data on syndromes and diagnoses using mobile phones. A model for submission patterns accounts for both sentinel-related and disease-related variability. Models for commonly reported cattle diagnoses were estimated separately. Region-specific weekly average prevalence was estimated for each diagnoses and partitioned into normal and abnormal periods. Visualization of state probabilities was used to indicate areas and times of unusual disease prevalence. The analysis suggests that hidden Markov modelling is a useful approach for surveillance datasets from novel populations and/or having little historical baselines.

  16. Secure Video Surveillance System (SVSS) for unannounced safeguards inspections.

    SciTech Connect

    Galdoz, Erwin G. , Rio de Janeiro, Brazil); Pinkalla, Mark

    2010-09-01

    The Secure Video Surveillance System (SVSS) is a collaborative effort between the U.S. Department of Energy (DOE), Sandia National Laboratories (SNL), and the Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC). The joint project addresses specific requirements of redundant surveillance systems installed in two South American nuclear facilities as a tool to support unannounced inspections conducted by ABACC and the International Atomic Energy Agency (IAEA). The surveillance covers the critical time (as much as a few hours) between the notification of an inspection and the access of inspectors to the location in facility where surveillance equipment is installed. ABACC and the IAEA currently use the EURATOM Multiple Optical Surveillance System (EMOSS). This outdated system is no longer available or supported by the manufacturer. The current EMOSS system has met the project objective; however, the lack of available replacement parts and system support has made this system unsustainable and has increased the risk of an inoperable system. A new system that utilizes current technology and is maintainable is required to replace the aging EMOSS system. ABACC intends to replace one of the existing ABACC EMOSS systems by the Secure Video Surveillance System. SVSS utilizes commercial off-the shelf (COTS) technologies for all individual components. Sandia National Laboratories supported the system design for SVSS to meet Safeguards requirements, i.e. tamper indication, data authentication, etc. The SVSS consists of two video surveillance cameras linked securely to a data collection unit. The collection unit is capable of retaining historical surveillance data for at least three hours with picture intervals as short as 1sec. Images in .jpg format are available to inspectors using various software review tools. SNL has delivered two SVSS systems for test and evaluation at the ABACC Safeguards Laboratory. An additional 'proto-type' system remains

  17. The Armed Forces Health Surveillance Center: Global Emerging Infections Surveillance & Response System, FY 2010

    DTIC Science & Technology

    2010-01-01

    Pathogenic Avian Influenza H5N1 Virus in Egypt Reveals Lack of Reassortment of Re -Introduction of New Viruses into the Region. Options for the Control...Collaborating Center for Emerging and Re - emerging Infectious Diseases in 2001 US NAVAL MEDICAL RESEARCH UNIT NO. 6 (NAMRU-6), LIMA, PERU...Electronic Disease Surveillance Initiative guided by the International Health Regulations (2005) Emerging and re - emerging diseases are a well-defined

  18. Community Participation in Chagas Disease Vector Surveillance: Systematic Review

    PubMed Central

    Abad-Franch, Fernando; Vega, M. Celeste; Rolón, Miriam S.; Santos, Walter S.; Rojas de Arias, Antonieta

    2011-01-01

    Background Vector control has substantially reduced Chagas disease (ChD) incidence. However, transmission by household-reinfesting triatomines persists, suggesting that entomological surveillance should play a crucial role in the long-term interruption of transmission. Yet, infestation foci become smaller and harder to detect as vector control proceeds, and highly sensitive surveillance methods are needed. Community participation (CP) and vector-detection devices (VDDs) are both thought to enhance surveillance, but this remains to be thoroughly assessed. Methodology/Principal Findings We searched Medline, Web of Knowledge, Scopus, LILACS, SciELO, the bibliographies of retrieved studies, and our own records. Data from studies describing vector control and/or surveillance interventions were extracted by two reviewers. Outcomes of primary interest included changes in infestation rates and the detection of infestation/reinfestation foci. Most results likely depended on study- and site-specific conditions, precluding meta-analysis, but we re-analysed data from studies comparing vector control and detection methods whenever possible. Results confirm that professional, insecticide-based vector control is highly effective, but also show that reinfestation by native triatomines is common and widespread across Latin America. Bug notification by householders (the simplest CP-based strategy) significantly boosts vector detection probabilities; in comparison, both active searches and VDDs perform poorly, although they might in some cases complement each other. Conclusions/Significance CP should become a strategic component of ChD surveillance, but only professional insecticide spraying seems consistently effective at eliminating infestation foci. Involvement of stakeholders at all process stages, from planning to evaluation, would probably enhance such CP-based strategies. PMID:21713022

  19. Targeting Transmission Pathways for Emerging Zoonotic Disease Surveillance and Control

    PubMed Central

    Loh, Elizabeth H.; Zambrana-Torrelio, Carlos; Olival, Kevin J.; Bogich, Tiffany L.; Johnson, Christine K.; Mazet, Jonna A. K.; Karesh, William

    2015-01-01

    Abstract We used literature searches and a database of all reported emerging infectious diseases (EIDs) to analyze the most important transmission pathways (e.g., vector-borne, aerosol droplet transmitted) for emerging zoonoses. Our results suggest that at the broad scale, the likelihood of transmission occurring through any one pathway is approximately equal. However, the major transmission pathways for zoonoses differ widely according to the specific underlying drivers of EID events (e.g., land-use change, agricultural intensification). These results can be used to develop better targeting of surveillance for, and more effective control of newly emerged zoonoses in regions under different underlying pressures that drive disease emergence. PMID:26186515

  20. Constructing paths through social networks for disease surveillance

    NASA Astrophysics Data System (ADS)

    Greene, Marjorie

    2011-06-01

    Global health security needs better information on biological threats such as pandemics and bioterrorism that pose ever-increasing dangers for the health of populations worldwide. A vast amount of real-time information about infectious disease outbreaks is found in various forms of Web-based data streams. There are advantages and disadvantages of Internet-based surveillance and it has been suggested that an important research area will be to evaluate the application of technologies that will provide benefits to outbreak disease control at local, national, and international levels.

  1. Schistosomiasis: Geospatial Surveillance and Response Systems in Southeast Asia

    NASA Astrophysics Data System (ADS)

    Malone, John; Bergquist, Robert; Rinaldi, Laura; Xiao-nong, Zhou

    2016-10-01

    Geographic information system (GIS) and remote sensing (RS) from Earth-observing satellites offer opportunities for rapid assessment of areas endemic for vector-borne diseases including estimates of populations at risk and guidance to intervention strategies. This presentation deals with GIS and RS applications for the control of schistosomiasis in China and the Philippines. It includes large-scale risk mapping including identification of suitable habitats for Oncomelania hupensis, the intermediate host snail of Schistosoma japonicum. Predictions of infection risk are discussed with reference to ecological transformations and the potential impact of climate change and the potential for long-term temperature increases in the North as well as the impact on rivers, lakes and water resource developments. Potential integration of geospatial mapping and modeling in schistosomiasis surveillance and response systems in Asia within Global Earth Observation System of Systems (GEOSS) guidelines in the health societal benefit area is discussed.

  2. Communicable disease surveillance and control in the context of conflict and mass displacement in Syria.

    PubMed

    Ismail, Sharif A; Abbara, Aula; Collin, Simon M; Orcutt, Miriam; Coutts, Adam P; Maziak, Wasim; Sahloul, Zaher; Dar, Osman; Corrah, Tumena; Fouad, Fouad M

    2016-06-01

    To describe trends in major communicable diseases in Syria during the ongoing conflict, and the challenges to communicable disease surveillance and control in the context of dynamic, large-scale population displacement, unplanned mass gatherings, and disruption to critical infrastructure. A rapid review of the peer-reviewed and non-peer-reviewed literature from 2005 to 2015 was performed, augmented by secondary analysis of monitoring data from two disease early warning systems currently operational in Syria, focusing mainly on three diseases: tuberculosis (TB), measles, and polio. Trend data show discrepancies in case report numbers between government and non-government controlled areas, especially for TB, but interpretation is hampered by uncertainties over sentinel surveillance coverage and base population numbers. Communicable disease control has been undermined by a combination of governance fragmentation, direct and indirect damage to facilities and systems, and health worker flight. Five years into the crisis, some progress has been made in disease surveillance, but governance and coordination problems, variable immunization coverage, and the dynamic and indiscriminate nature of the conflict continue to pose a serious threat to population health in Syria and surrounding countries. The risk of major cross-border communicable disease outbreaks is high, and challenges for health in a post-conflict Syria are formidable. Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.

  3. Profile: Nanoro Health and Demographic Surveillance System.

    PubMed

    Derra, Karim; Rouamba, Eli; Kazienga, Adama; Ouedraogo, Sayouba; Tahita, Marc C; Sorgho, Hermann; Valea, Innocent; Tinto, Halidou

    2012-10-01

    The Nanoro Health and Demographic Surveillance System (HDSS), located in the rural centre of Burkina Faso, was established in 2009 by the Clinical Research Unit of Nanoro with the aim of providing a core framework for clinical trials and also to support the Burkina Faso health authorities in generating epidemiological data that can contribute to the setup and assessment of health interventions. In the baseline of initial census, 54 781 individuals were recorded of whom 56.1% are female. After the initial census, vital events such as pregnancies, births, migrations and deaths have been monitored, and data on individuals and household characteristics are updated during regular 4-monthly household visits. The available data are categorized into demographic, cultural, socio-economic and health information, and are used for monitoring and evaluation of population development issues. As a young site, our objective has been to strengthen our skills and knowledge and share new scientific experiences with INDEPTH and HDSS sites in Burkina Faso. In addition, all data produced by the Nanoro HDSS will be made publicly available through the INDEPTH data sharing system.

  4. Evaluation of an Active Surveillance System for Stillbirths in Metropolitan Atlanta

    PubMed Central

    Azofeifa, Alejandro; Yeung, Lorraine F.; Duke, C. Wes; Gilboa, Suzanne M.; Correa, Adolfo

    2015-01-01

    Background In 2005, a pilot project was started at the Centers for Disease Control and Prevention (CDC) to expand an existing birth defects surveillance program, the Metropolitan Atlanta Congenital Defects Program (MACDP), to conduct active surveillance of stillbirth. This pilot project was evaluated using CDC’s current guidelines for evaluating surveillance systems. Methods We conducted stakeholder interviews with the staff of MACDP’s stillbirth surveillance system. We reviewed the published literature on stillbirth ascertainment including 4 previous publications about the MACDP stillbirth surveillance system. Using fetal death certificates (FDC) as a second, independent data source, we estimated the total number and prevalence of stillbirths in metropolitan Atlanta using capture-recapture methods, and calculated the sensitivity of the MACDP stillbirth surveillance system. Results The MACDP stillbirth surveillance system is useful, flexible, acceptable, and stable. The system’s data quality is improved because it uses multiple sources for case ascertainment. Based on 2006 data, estimated sensitivities of FDCs, MACDP, and both sources combined for identifying a stillbirth were 78.5%, 76.8%, and 95.0%, respectively. The prevalence of stillbirths per 1,000 live births and stillbirths was 8.2 (95% confidence interval [CI]: 7.5-9.0) based on FDC data alone and 9.9 (95% CI: 9.1-10.8) when combined with MACDP data. Conclusion Use of MACDP as an additional data source for stillbirth surveillance resulted in higher levels of case ascertainment, better data quality, and a higher estimate of stillbirth prevalence than using FDC data alone. MACDP could be considered as a model to enhance stillbirth surveillance by other active birth defects surveillance programs. PMID:23270086

  5. Metagenomic Sequencing for Surveillance of Food- and Waterborne Viral Diseases

    PubMed Central

    Nieuwenhuijse, David F.; Koopmans, Marion P. G.

    2017-01-01

    A plethora of viruses can be transmitted by the food- and waterborne route. However, their recognition is challenging because of the variety of viruses, heterogeneity of symptoms, the lack of awareness of clinicians, and limited surveillance efforts. Classical food- and waterborne viral disease outbreaks are mainly caused by caliciviruses, but the source of the virus is often not known and the foodborne mode of transmission is difficult to discriminate from human-to-human transmission. Atypical food- and waterborne viral disease can be caused by viruses such as hepatitis A and hepatitis E. In addition, a source of novel emerging viruses with a potential to spread via the food- and waterborne route is the repeated interaction of humans with wildlife. Wildlife-to-human adaptation may give rise to self- limiting outbreaks in some cases, but when fully adjusted to the human host can be devastating. Metagenomic sequencing has been investigated as a promising solution for surveillance purposes as it detects all viruses in a single protocol, delivers additional genomic information for outbreak tracing, and detects novel unknown viruses. Nevertheless, several issues must be addressed to apply metagenomic sequencing in surveillance. First, sample preparation is difficult since the genomic material of viruses is generally overshadowed by host- and bacterial genomes. Second, several data analysis issues hamper the efficient, robust, and automated processing of metagenomic data. Third, interpretation of metagenomic data is hard, because of the lack of general knowledge of the virome in the food chain and the environment. Further developments in virus-specific nucleic acid extraction methods, bioinformatic data processing applications, and unifying data visualization tools are needed to gain insightful surveillance knowledge from suspect food samples. PMID:28261185

  6. Metagenomic Sequencing for Surveillance of Food- and Waterborne Viral Diseases.

    PubMed

    Nieuwenhuijse, David F; Koopmans, Marion P G

    2017-01-01

    A plethora of viruses can be transmitted by the food- and waterborne route. However, their recognition is challenging because of the variety of viruses, heterogeneity of symptoms, the lack of awareness of clinicians, and limited surveillance efforts. Classical food- and waterborne viral disease outbreaks are mainly caused by caliciviruses, but the source of the virus is often not known and the foodborne mode of transmission is difficult to discriminate from human-to-human transmission. Atypical food- and waterborne viral disease can be caused by viruses such as hepatitis A and hepatitis E. In addition, a source of novel emerging viruses with a potential to spread via the food- and waterborne route is the repeated interaction of humans with wildlife. Wildlife-to-human adaptation may give rise to self- limiting outbreaks in some cases, but when fully adjusted to the human host can be devastating. Metagenomic sequencing has been investigated as a promising solution for surveillance purposes as it detects all viruses in a single protocol, delivers additional genomic information for outbreak tracing, and detects novel unknown viruses. Nevertheless, several issues must be addressed to apply metagenomic sequencing in surveillance. First, sample preparation is difficult since the genomic material of viruses is generally overshadowed by host- and bacterial genomes. Second, several data analysis issues hamper the efficient, robust, and automated processing of metagenomic data. Third, interpretation of metagenomic data is hard, because of the lack of general knowledge of the virome in the food chain and the environment. Further developments in virus-specific nucleic acid extraction methods, bioinformatic data processing applications, and unifying data visualization tools are needed to gain insightful surveillance knowledge from suspect food samples.

  7. Surveillance Analysis Computer System (SACS) software requirements specification (SRS)

    SciTech Connect

    Glasscock, J.A.; Flanagan, M.J.

    1995-09-01

    This document is the primary document establishing requirements for the Surveillance Analysis Computer System (SACS) Database, an Impact Level 3Q system. The purpose is to provide the customer and the performing organization with the requirements for the SACS Project.

  8. EWES. Early Warning Expert System for Equipment Operability Surveillance

    SciTech Connect

    Gross, K.C.; Singer, R.; Herzog, J.P.

    1996-01-01

    EWES is an Al-based expert system for signal validation and sensor operability surveillance in industrial applications that require high-reliability, high-sensitivity annunciation of degraded sensors, discrepant signals, or the onset or incipience of system disturbances.

  9. Early Warning Expert System for Equipment Operability Surveillance

    SciTech Connect

    Gross, Kenny C.

    1996-12-18

    EWES is an Al-based expert system for signal validation and sensor operability surveillance in industrial applications that require high-reliability, high-sensitivity annunciation of degraded sensors, discrepant signals, or the onset or incipience of system disturbances.

  10. "Med-X": a medical examiner surveillance model for bioterrorism and infectious disease mortality.

    PubMed

    Nolte, Kurt B; Lathrop, Sarah L; Nashelsky, Marcus B; Nine, Jeffrey S; Gallaher, Margaret M; Umland, Edith T; McLemore, Jerri L; Reichard, R Ross; Irvine, Rebecca A; McFeeley, Patricia J; Zumwalt, Ross E

    2007-05-01

    We created a model surveillance system (Med-X) designed to enable medical examiners and coroners to recognize fatal infections of public health importance and deaths due to bioterrorism. All individuals who died in New Mexico and fell under medical examiner jurisdiction between November 23, 2000, and November 22, 2002, were prospectively evaluated using sets of surveillance symptoms and autopsy-based pathologic syndromes. All infectious disease deaths were evaluated to identify the specific causative agent. Of 6104 jurisdictional cases, 250 (4.1%) met Med-X criteria, of which 141 (56.4%) had a target pathologic syndrome. Ultimately, 127 (51%) of the 250 cases were due to infections. The causative organism was identified for 103 (81%) of the infectious disease deaths, of which 60 (58.3%) were notifiable conditions in New Mexico. Flu-like symptoms, fever and respiratory symptoms, and encephalopathy or new-onset seizures had predictive values positive for fatal infections of 65%, 72%, and 50%, respectively, and are useful as autopsy performance criteria. Before the development of surveillance criteria, 37 (14.8%) of the cases ordinarily would not have been autopsied resulting in a 1% increase in autopsy workload. Med-X is an effective method of detecting infectious disease deaths among medical examiner cases. Uniform criteria for performing medical examiner autopsies and reporting cases to public health authorities enhance surveillance for notifiable infectious diseases and increase the likelihood of recognizing deaths related to bioterrorism.

  11. Stereographic Projection in the Joint Surveillance System

    DTIC Science & Technology

    1976-09-01

    Dlvision Joint Surveillance Sjya h-og oI’c Jaint Surveillance SY4 Prog Ofc FOR TH~ OOAD~ JILYSELL If. WOESME, GS -14 Deputy Syritem Progran Director...937 1.875 650 1200 .9852 1,485 2.969 430 120 .9998 .021 .042 410 240 .9993 .072 .145 390 360 .9985 .154 .308 370 480 . 9973 .266 .533 330 720 .9942 .581

  12. Surveillance of Infectious Diseases by the Sentinel Laboratory Network in Belgium: 30 Years of Continuous Improvement

    PubMed Central

    Muyldermans, Gaëtan; Ducoffre, Geneviève; Leroy, Mathias; Dupont, Yves; Quolin, Sophie

    2016-01-01

    In 1983 the sentinel laboratory network was established because of the need to describe the epidemiological evolution of infectious diseases. During the study period of 30 years (1983–2013), microbiology laboratories reported on weekly basis the laboratory diagnosed cases for a selection of infectious diseases. This resulted in a large longitudinal laboratory based database allowing to provide trends over time and distribution by person and place. During this period, adaptations to data collection were made due to changes in diagnostic methods and public health priorities, introduction and application of digital revolution, and multiple reorganizations of the laboratories. Since the surveillance network is dynamic, it necessitates a continuous evaluation to ensure that, over time, it continues to be representative of the general epidemiological trends in the country. Secondly the aim is to examine the robustness and stability of this surveillance system. Here we demonstrated that the flexibility of the data collection methodology by the sentinel laboratory network is unique and that adaptations do not affect the capacity of the system to follow trends. Therefore, the surveillance by this network is representative of the current epidemiological situation in Belgium. To our knowledge, no such surveillance network with such a long-term follow-up and demonstrated stability for multiple infectious diseases in the general population was earlier described. Furthermore, expected trends due to the implementation of vaccination or other events were accurately detected. The collected data obtained from this network allows interesting comparisons with other national and international information sources. PMID:27571203

  13. Surveillance of cardiovascular disease risk factors in India: the need & scope.

    PubMed

    Shah, Bela; Mathur, Prashant

    2010-11-01

    There is a rise of non-communicable diseases (NCDs) burden, which is causing increasing morbidity and premature mortality in developing countries. In 1990, cardiovascular diseases (CVD) accounted for 63 per cent of all deaths and India contributed to 17 per cent to the worldwide mortality. Several surveys conducted across the country over the past two decades have shown a rising prevalence of major risk factors for CVD in urban and rural populations. These surveys are limited by their generalisability to other parts of the country, and more was required to roll out of an action plan. There was lack of an organized national system for monitoring these risk factors over time so as to inform policy and programme for appropriate interventions. The Indian Council of Medical Research (ICMR) leveraged its research on NCD risk factor surveillance to the development of the national plan under the Integrated Disease Surveillance Project (IDSP) which will obtain State-based prevalence of selected risk factors. This review provides the scenario of CVD in India and the need for a surveillance system. By examining similar experiences globally, it outlines the scope of CVD surveillance in India.

  14. Multifaceted syndromic surveillance in a public health department using the early aberration reporting system.

    PubMed

    Lawson, Brian M; Fitzhugh, Eugene C; Hall, Stephanie P; Franklin, Chad; Hutwagner, Lori C; Seeman, G Matthew; Craig, Allen S

    2005-01-01

    Local health departments concerned with early detection of potential terrorist threats are beginning to explore novel approaches to syndromic surveillance. Using the Early Aberration Reporting System (EARS) developed by the Centers for Disease Control and Prevention, a metropolitan health department in Tennessee and five community partners have agreed to exchange data in order to implement a multifaceted syndromic surveillance system for early detection of a biological attack. This article describes how we used EARS as the foundation for implementing a surveillance system that encompasses a rich variety of data sources. We address technical requirements for operating EARS, recommend staffing and training prerequisites, describe the involvement of our data partners, and provide details related to data transfer and analysis, review, and response protocol. Other health departments may find this information useful as a general model for implementing EARS-based syndromic surveillance systems in their own jurisdictions.

  15. Global Tobacco Surveillance System (GTSS): purpose, production, and potential.

    PubMed

    2005-01-01

    The World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), and Canadian Public Health Association (CPHA) developed the Global Tobacco Surveillance System (GTSS) to assist all 192 WHO Member States in collecting data on youth and adult tobacco use. The flexible GTSS system includes common data items but allows countries to include important unique information at their discretion. It uses a common survey methodology, similar field procedures for data collection, and similar data management and processing techniques. The GTSS includes collection of data through three surveys: the Global Youth Tobacco Survey (GYTS) for youth, and the Global School Personnel Survey (GSPS) and the Global Health Professional Survey (GHPS) for adults. GTSS data potentially can be applied in four ways. First, countries and research partners can disseminate data through publications, presentations, and an active GTSS web site. Second, countries can use GTSS data to inform politicians about the tobacco problem in their country, leading to new policy decisions to prevent and control tobacco use. Third, GTSS can provide countries with valuable feedback to evaluate and improve Country National Action Plans or develop new plans. Fourth, in response to the WHO FCTC call for countries to use consistent methods and procedures in their surveillance efforts, GTSS offers such consistency in sampling procedures, core questionnaire items, training infield procedures, and analysis of data across all survey sites. The GTSS represents the most comprehensive tobacco surveillance system ever developed and implemented. As an example, this paper describes development of the GYTS and discusses potential uses of the data. Sample data were drawn from 38 sites in 24 countries in the African Region, 82 sites in 35 countries in the Americas Region, 20 sites in 17 countries and the Gaza Strip/West Bank region in the Eastern Mediterranean Region, 25 sites in 22 countries in the European

  16. Integrated biological-behavioural surveillance in pandemic-threat warning systems.

    PubMed

    Miller, Maureen; Hagan, Emily

    2017-01-01

    Economically and politically disruptive disease outbreaks are a hallmark of the 21st century. Although pandemics are driven by human behaviours, current surveillance systems for identifying pandemic threats are largely reliant on the monitoring of disease outcomes in clinical settings. Standardized integrated biological-behavioural surveillance could, and should, be used in community settings to complement such clinical monitoring. The usefulness of such an approach has already been demonstrated in studies on human immunodeficiency virus, where integrated surveillance contributed to a biologically based and quantifiable understanding of the behavioural risk factors associated with the transmission dynamics of the virus. When designed according to Strengthening the Reporting of Observational Studies in Epidemiology criteria, integrated surveillance requires that both behavioural risk factors - i.e. exposure variables - and disease-indicator outcome variables be measured in behavioural surveys. In the field of pandemic threats, biological outcome data could address the weaknesses of self-reported data collected in behavioural surveys. Data from serosurveys of viruses with pandemic potential, collected under non-outbreak conditions, indicate that serosurveillance could be used to predict future outbreaks. When conducted together, behavioural surveys and serosurveys could warn of future pandemics, potentially before the disease appears in clinical settings. Traditional disease-outcome surveillance must be frequent and ongoing to remain useful but behavioural surveillance remains informative even if conducted much less often, since behaviour change occurs slowly over time. Only through knowledge of specific behavioural risk factors can interventions and policies that can prevent the next pandemic be developed.

  17. Real Time Wide Area Radiation Surveillance System

    NASA Astrophysics Data System (ADS)

    Biafore, M.

    2012-04-01

    We present the REWARD project, financed within the FP7 programme, theme SEC-2011.1.5-1 (Development of detection capabilities of difficult to detect radioactive sources and nuclear materials - Capability Project). Within this project, we propose a novel mobile system for real time, wide area radiation surveillance. The system is based on the integration of new miniaturized solid-state radiation sensors: a CdZnTe detector for gamma radiation and a high efficiency neutron detector based on novel silicon technologies. The sensing unit will include a wireless communication interface to send the data remotely to a monitoring base station which also uses a GPS system to calculate the position of the tag. The system will also incorporate middleware and high level software to provide web-service interfaces for the exchange of information, and that will offer top level functionalities as management of users, mobile tags and environment data and alarms, database storage and management and a web-based graphical user interface. Effort will be spent to ensure that the software is modular and re-usable across as many architectural levels as possible. Finally, an expert system will continuously analyze the information from the radiation sensor and correlate it with historical data from the tag location in order to generate an alarm when an abnormal situation is detected. The system will be useful for many different scenarios, including such lost radioactive sources and radioactive contamination. It will be possible to deploy in emergency units and in general in any type of mobile or static equipment. The sensing units will be highly portable thanks to their low size and low energy consumption. The complete system will be scalable in terms of complexity and cost and will offer very high precision on both the measurement and the location of the radiation. The modularity and flexibility of the system will allow for a realistic introduction to the market. Authorities may start with a

  18. ID-Viewer: a visual analytics architecture for infectious diseases surveillance and response management in Pakistan.

    PubMed

    Ali, M A; Ahsan, Z; Amin, M; Latif, S; Ayyaz, A; Ayyaz, M N

    2016-05-01

    Globally, disease surveillance systems are playing a significant role in outbreak detection and response management of Infectious Diseases (IDs). However, in developing countries like Pakistan, epidemic outbreaks are difficult to detect due to scarcity of public health data and absence of automated surveillance systems. Our research is intended to formulate an integrated service-oriented visual analytics architecture for ID surveillance, identify key constituents and set up a baseline for easy reproducibility of such systems in the future. This research focuses on development of ID-Viewer, which is a visual analytics decision support system for ID surveillance. It is a blend of intelligent approaches to make use of real-time streaming data from Emergency Departments (EDs) for early outbreak detection, health care resource allocation and epidemic response management. We have developed a robust service-oriented visual analytics architecture for ID surveillance, which provides automated mechanisms for ID data acquisition, outbreak detection and epidemic response management. Classification of chief-complaints is accomplished using dynamic classification module, which employs neural networks and fuzzy-logic to categorize syndromes. Standard routines by Center for Disease Control (CDC), i.e. c1-c3 (c1-mild, c2-medium and c3-ultra), and spatial scan statistics are employed for detection of temporal and spatio-temporal disease outbreaks respectively. Prediction of imminent disease threats is accomplished using support vector regression for early warnings and response planning. Geographical visual analytics displays are developed that allow interactive visualization of syndromic clusters, monitoring disease spread patterns, and identification of spatio-temporal risk zones. We analysed performance of surveillance framework using ID data for year 2011-2015. Dynamic syndromic classifier is able to classify chief-complaints to appropriate syndromes with high classification

  19. Structuring targeted surveillance for monitoring disease emergence by mapping observational data onto ecological process

    PubMed Central

    Gerardo-Giorda, Luca; Puggioni, Gavino; Rudd, Robert J.; Waller, Lance A.; Real, Leslie A.

    2013-01-01

    An efficient surveillance system is a crucial factor in identifying, monitoring and tackling outbreaks of infectious diseases. Scarcity of data and limited amounts of economic resources require a targeted effort from public health authorities. In this paper, we propose a mathematical method to identify areas where surveillance is critical and low reporting rates might leave epidemics undetected. Our approach combines the use of reference-based susceptible–exposed–infectious models and observed reporting data; We propose two different specifications, for constant and time-varying surveillance, respectively. Our case study is centred around the spread of the raccoon rabies epidemic in the state of New York, using data collected between 1990 and 2007. Both methods offer a feasible solution to analyse and identify areas of intervention. PMID:23864503

  20. Mississippi's infectious disease hotline: a surveillance and education model for future disasters.

    PubMed

    Cavey, Andrew M J; Spector, Jonathan M; Ehrhardt, Derek; Kittle, Theresa; McNeill, Mills; Greenough, P Gregg; Kirsch, Thomas D

    2009-01-01

    The potential for outbreaks of epidemic disease among displaced residents was a significant public health concern in the aftermath of Hurricane Katrina. In response, the Mississippi Department of Health (MDH) and the American Red Cross (ARC) implemented a novel infectious disease surveillance system, in the form of a telephone "hotline", to detect and rapidly respond to health threats in shelters. All ARC-managed shelters in Mississippi were included in the surveillance system. A symptom-based, case reporting method was developed and distributed to shelter staff, who were linked with MDH and ARC professionals by a toll-free telephone service. Hotline staff investigated potential infectious disease outbreaks, provided assistance to shelter staff regarding optimal patient care, and helped facilitate the evaluation of ill evacuees by local medical personnel. Forty-three shelters sheltering 3,520 evacuees participated in the program. Seventeen shelters made 29 calls notifying the hotline of the following cases: (1) fever (6 cases); (2) respiratory infections (37 cases); (3) bloody diarrhea (2 cases); (4) watery diarrhea (15 cases); and (5) other, including rashes (33 cases). Thirty-four of these patients were referred to a local physician or hospital for further diagnosis and disease management. Three cases of chickenpox were identified. No significant infectious disease outbreaks occurred and no deaths were reported. The surveillance system used direct verbal communication between shelter staff and hotline managers to enable more rapid reporting, mapping, investigation, and intervention, far beyond the capabilities of a more passive or paper-based system. It also allowed for immediate feedback and education for staff unfamiliar with the diseases and reporting process. Replication of this program should be considered during future disasters when health surveillance of a large, disseminated shelter population is necessary.

  1. Potential Use of School Absenteeism Record for Disease Surveillance in Developing Countries, Case Study in Rural Cambodia

    PubMed Central

    Cheng, Calvin K. Y.; Channarith, Hing; Cowling, Benjamin J.

    2013-01-01

    Background Disease surveillance allows prospective monitoring of patterns in disease incidence in the general community, specific institutions (e.g. hospitals, elderly care homes), and other important population subgroups. Surveillance activities are now routinely conducted in many developed countries and in certain easy-to-reach areas of the developing ones. However due to limited health resources, population in rural area that consisted of the most the vulnerable groups are not under surveillance. Cheaper alternative ways for disease surveillance were needed in resource-limited settings. Methods and Findings In this study, a syndromic surveillance system using disease specific absenteeism rates was established in 47 pre-schools with 1,417 students 3–6 y of age in a rural area of Kampot province, Cambodia. School absenteeism data were collected via short message service. Data collected between 1st January and 31st December 2012 was used for system evaluation for future potential use in larger scale. The system appeared to be feasible and acceptable in the rural study setting. Moderate correlation was found between rates of school absenteeism due to illness and the reference data on rates of attendance at health centers in persons <16 y (maximum cross-correlation coefficient = 0.231 at lag = −1 week). Conclusions School absenteeism data is pre-existing, easily accessible and requires minimum time and resources after initial development, and our results suggest that this system may be able to provide complementary data for disease surveillance, especially in resource limited settings where there is very little information on illnesses in the community and traditional surveillance systems are difficult to implement. An important next step is to validate the syndromic data with other forms of surveillance including laboratory data. PMID:24155907

  2. Potential use of school absenteeism record for disease surveillance in developing countries, case study in rural Cambodia.

    PubMed

    Cheng, Calvin K Y; Channarith, Hing; Cowling, Benjamin J

    2013-01-01

    Disease surveillance allows prospective monitoring of patterns in disease incidence in the general community, specific institutions (e.g. hospitals, elderly care homes), and other important population subgroups. Surveillance activities are now routinely conducted in many developed countries and in certain easy-to-reach areas of the developing ones. However due to limited health resources, population in rural area that consisted of the most the vulnerable groups are not under surveillance. Cheaper alternative ways for disease surveillance were needed in resource-limited settings. In this study, a syndromic surveillance system using disease specific absenteeism rates was established in 47 pre-schools with 1,417 students 3-6 y of age in a rural area of Kampot province, Cambodia. School absenteeism data were collected via short message service. Data collected between 1st January and 31st December 2012 was used for system evaluation for future potential use in larger scale. The system appeared to be feasible and acceptable in the rural study setting. Moderate correlation was found between rates of school absenteeism due to illness and the reference data on rates of attendance at health centers in persons <16 y (maximum cross-correlation coefficient = 0.231 at lag = -1 week). School absenteeism data is pre-existing, easily accessible and requires minimum time and resources after initial development, and our results suggest that this system may be able to provide complementary data for disease surveillance, especially in resource limited settings where there is very little information on illnesses in the community and traditional surveillance systems are difficult to implement. An important next step is to validate the syndromic data with other forms of surveillance including laboratory data.

  3. Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments.

    PubMed

    Thomas, Mathew J; Yoon, Paula W; Collins, James M; Davidson, Arthur J; Mac Kenzie, William R

    2017-09-28

    Evaluating public health surveillance systems is critical to ensuring that conditions of public health importance are appropriately monitored. Our objectives were to qualitatively evaluate 6 state and local health departments that were early adopters of syndromic surveillance in order to (1) understand the characteristics and current uses, (2) identify the most and least useful syndromes to monitor, (3) gauge the utility for early warning and outbreak detection, and (4) assess how syndromic surveillance impacted their daily decision making. We adapted evaluation guidelines from the Centers for Disease Control and Prevention and gathered input from the Centers for Disease Control and Prevention subject matter experts in public health surveillance to develop a questionnaire. We interviewed staff members from a convenience sample of 6 local and state health departments with syndromic surveillance programs that had been in operation for more than 10 years. Three of the 6 interviewees provided an example of using syndromic surveillance to identify an outbreak (ie, cluster of foodborne illness in 1 jurisdiction) or detect a surge in cases for seasonal conditions (eg, influenza in 2 jurisdictions) prior to traditional, disease-specific systems. Although all interviewees noted that syndromic surveillance has not been routinely useful or efficient for early outbreak detection or case finding in their jurisdictions, all agreed that the information can be used to improve their understanding of dynamic disease control environments and conditions (eg, situational awareness) in their communities. In the jurisdictions studied, syndromic surveillance may be useful for monitoring the spread and intensity of large outbreaks of disease, especially influenza; enhancing public health awareness of mass gatherings and natural disasters; and assessing new, otherwise unmonitored conditions when real-time alternatives are unavailable. Future studies should explore opportunities to

  4. The Department of Defense laboratory-based global influenza surveillance system.

    PubMed

    Canas, L C; Lohman, K; Pavlin, J A; Endy, T; Singh, D L; Pandey, P; Shrestha, M P; Scott, R M; Russell, K L; Watts, D; Hajdamowicz, M; Soriano, I; Douce, R W; Neville, J; Gaydos, J C

    2000-07-01

    Military global influenza surveillance began in 1976 as an Air Force program. In 1997, the Department of Defense (DoD) Global Emerging Infections Surveillance and Response System expanded the program to include all services. Also included were local residents in areas where DoD overseas research activities operated. This new, worldwide DoD surveillance infrastructure provides valuable information and can respond quickly to outbreaks. This was demonstrated during the current influenza season when a suspected outbreak was reported in Panama. In less than 3 weeks, specimens were collected, transported, and cultured, and isolates were subtyped and sent to the Centers for Disease Control and Prevention for further studies. This influenza surveillance initiative combines viral isolation, antigenic characterization, and molecular sequencing with clinical and public health management of information. The information obtained is shared with the Centers for Disease Control and Prevention and the World Health Organization and has contributed to important decisions in influenza vaccine composition.

  5. The Enemy within: Innate Surveillance-Mediated Cell Death, the Common Mechanism of Neurodegenerative Disease

    PubMed Central

    Richards, Robert I.; Robertson, Sarah A.; O'Keefe, Louise V.; Fornarino, Dani; Scott, Andrew; Lardelli, Michael; Baune, Bernhard T.

    2016-01-01

    Neurodegenerative diseases comprise an array of progressive neurological disorders all characterized by the selective death of neurons in the central nervous system. Although, rare (familial) and common (sporadic) forms can occur for the same disease, it is unclear whether this reflects several distinct pathogenic pathways or the convergence of different causes into a common form of nerve cell death. Remarkably, neurodegenerative diseases are increasingly found to be accompanied by activation of the innate immune surveillance system normally associated with pathogen recognition and response. Innate surveillance is the cell's quality control system for the purpose of detecting such danger signals and responding in an appropriate manner. Innate surveillance is an “intelligent system,” in that the manner of response is relevant to the magnitude and duration of the threat. If possible, the threat is dealt with within the cell in which it is detected, by degrading the danger signal(s) and restoring homeostasis. If this is not successful then an inflammatory response is instigated that is aimed at restricting the spread of the threat by elevating degradative pathways, sensitizing neighboring cells, and recruiting specialized cell types to the site. If the danger signal persists, then the ultimate response can include not only the programmed cell death of the original cell, but the contents of this dead cell can also bring about the death of adjacent sensitized cells. These responses are clearly aimed at destroying the ability of the detected pathogen to propagate and spread. Innate surveillance comprises intracellular, extracellular, non-cell autonomous and systemic processes. Recent studies have revealed how multiple steps in these processes involve proteins that, through their mutation, have been linked to many familial forms of neurodegenerative disease. This suggests that individuals harboring these mutations may have an amplified response to innate

  6. The Enemy within: Innate Surveillance-Mediated Cell Death, the Common Mechanism of Neurodegenerative Disease.

    PubMed

    Richards, Robert I; Robertson, Sarah A; O'Keefe, Louise V; Fornarino, Dani; Scott, Andrew; Lardelli, Michael; Baune, Bernhard T

    2016-01-01

    Neurodegenerative diseases comprise an array of progressive neurological disorders all characterized by the selective death of neurons in the central nervous system. Although, rare (familial) and common (sporadic) forms can occur for the same disease, it is unclear whether this reflects several distinct pathogenic pathways or the convergence of different causes into a common form of nerve cell death. Remarkably, neurodegenerative diseases are increasingly found to be accompanied by activation of the innate immune surveillance system normally associated with pathogen recognition and response. Innate surveillance is the cell's quality control system for the purpose of detecting such danger signals and responding in an appropriate manner. Innate surveillance is an "intelligent system," in that the manner of response is relevant to the magnitude and duration of the threat. If possible, the threat is dealt with within the cell in which it is detected, by degrading the danger signal(s) and restoring homeostasis. If this is not successful then an inflammatory response is instigated that is aimed at restricting the spread of the threat by elevating degradative pathways, sensitizing neighboring cells, and recruiting specialized cell types to the site. If the danger signal persists, then the ultimate response can include not only the programmed cell death of the original cell, but the contents of this dead cell can also bring about the death of adjacent sensitized cells. These responses are clearly aimed at destroying the ability of the detected pathogen to propagate and spread. Innate surveillance comprises intracellular, extracellular, non-cell autonomous and systemic processes. Recent studies have revealed how multiple steps in these processes involve proteins that, through their mutation, have been linked to many familial forms of neurodegenerative disease. This suggests that individuals harboring these mutations may have an amplified response to innate-mediated damage

  7. An integrated approach for fusion of environmental and human health data for disease surveillance.

    PubMed

    Burkom, Howard S; Ramac-Thomas, Liane; Babin, Steven; Holtry, Rekha; Mnatsakanyan, Zaruhi; Yund, Cynthia

    2011-02-28

    This paper describes the problem of public health monitoring for waterborne disease outbreaks using disparate evidence from health surveillance data streams and environmental sensors. We present a combined monitoring approach along with examples from a recent project at the Johns Hopkins University Applied Physics Laboratory in collaboration with the U.S. Environmental Protection Agency. The project objective was to build a module for the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) to include water quality data with health indicator data for the early detection of waterborne disease outbreaks. The basic question in the fused surveillance application is 'What is the likelihood of the public health threat of interest given recent information from available sources of evidence?' For a scientific perspective, we formulate this question in terms of the estimation of positive predictive value customary in classical epidemiology, and we present a solution framework using Bayesian Networks (BN). An overview of the BN approach presents advantages, disadvantages, and required adaptations needed for a fused surveillance capability that is scalable and robust relative to the practical data environment. In the BN project, we built a top-level health/water-quality fusion BN informed by separate waterborne-disease-related networks for the detection of water contamination and human health effects. Elements of the art of developing networks appropriate to this environment are discussed with examples. Results of applying these networks to a simulated contamination scenario are presented.

  8. Validation of the Behavioral Risk Factor Surveillance System Sleep Questions

    PubMed Central

    Jungquist, Carla R.; Mund, Jaime; Aquilina, Alan T.; Klingman, Karen; Pender, John; Ochs-Balcom, Heather; van Wijngaarden, Edwin; Dickerson, Suzanne S.

    2016-01-01

    Study Objective: Sleep problems may constitute a risk for health problems, including cardiovascular disease, depression, diabetes, poor work performance, and motor vehicle accidents. The primary purpose of this study was to assess the validity of the current Behavioral Risk Factor Surveillance System (BRFSS) sleep questions by establishing the sensitivity and specificity for detection of sleep/ wake disturbance. Methods: Repeated cross-sectional assessment of 300 community dwelling adults over the age of 18 who did not wear CPAP or oxygen during sleep. Reliability and validity testing of the BRFSS sleep questions was performed comparing to BFRSS responses to data from home sleep study, actigraphy for 14 days, Insomnia Severity Index, Epworth Sleepiness Scale, and PROMIS-57. Results: Only two of the five BRFSS sleep questions were found valid and reliable in determining total sleep time and excessive daytime sleepiness. Conclusions: Refinement of the BRFSS questions is recommended. Citation: Jungquist CR, Mund J, Aquilina AT, Klingman K, Pender J, Ochs-Balcom H, van Wijngaarden E, Dickerson SS. Validation of the behavioral risk factor surveillance system sleep questions. J Clin Sleep Med 2016;12(3):301–310. PMID:26446246

  9. A comparison of active adverse event surveillance systems worldwide.

    PubMed

    Huang, Yu-Lin; Moon, Jinhee; Segal, Jodi B

    2014-08-01

    Post-marketing drug surveillance for adverse drug events (ADEs) has typically relied on spontaneous reporting. Recently, regulatory agencies have turned their attention to more preemptive approaches that use existing data for surveillance. We conducted an environmental scan to identify active surveillance systems worldwide that use existing data for the detection of ADEs. We extracted data about the systems' structures, data, and functions. We synthesized the information across systems to identify common features of these systems. We identified nine active surveillance systems. Two systems are US based-the FDA Sentinel Initiative (including both the Mini-Sentinel Initiative and the Federal Partner Collaboration) and the Vaccine Safety Datalink (VSD); two are Canadian-the Canadian Network for Observational Drug Effect Studies (CNODES) and the Vaccine and Immunization Surveillance in Ontario (VISION); and two are European-the Exploring and Understanding Adverse Drug Reactions by Integrative Mining of Clinical Records and Biomedical Knowledge (EU-ADR) Alliance and the Vaccine Adverse Event Surveillance and Communication (VAESCO). Additionally, there is the Asian Pharmacoepidemiology Network (AsPEN) and the Shanghai Drug Monitoring and Evaluative System (SDMES). We identified two systems in the UK-the Vigilance and Risk Management of Medicines (VRMM) Division and the Drug Safety Research Unit (DSRU), an independent academic unit. These surveillance systems mostly use administrative claims or electronic medical records; most conduct pharmacovigilance on behalf of a regulatory agency. Either a common data model or a centralized model is used to access existing data. The systems have been built using national data alone or via partnership with other countries. However, active surveillance systems using existing data remain rare. North America and Europe have the most population coverage; with Asian countries making good advances.

  10. Complement: a key system for immune surveillance and homeostasis.

    PubMed

    Ricklin, Daniel; Hajishengallis, George; Yang, Kun; Lambris, John D

    2010-09-01

    Nearly a century after the significance of the human complement system was recognized, we have come to realize that its functions extend far beyond the elimination of microbes. Complement acts as a rapid and efficient immune surveillance system that has distinct effects on healthy and altered host cells and foreign intruders. By eliminating cellular debris and infectious microbes, orchestrating immune responses and sending 'danger' signals, complement contributes substantially to homeostasis, but it can also take action against healthy cells if not properly controlled. This review describes our updated view of the function, structure and dynamics of the complement network, highlights its interconnection with immunity at large and with other endogenous pathways, and illustrates its multiple roles in homeostasis and disease.

  11. Creating a disease risk map for West Nile virus for surveillance in Central Texas using a Geographic Information System and Remote Sensing technologies

    USDA-ARS?s Scientific Manuscript database

    Following the discovery of the West Nile virus (WNv) in Brazos County, TX in 2002, mosquito research personnel at Texas A&M University established a routine WNv mosquito vector surveillance program in the county. In 2004, a map of Brazos County was created depicting areas that had a heightened leve...

  12. Effective animal health disease surveillance using a network-enabled approach.

    PubMed

    Kloeze, H; Mukhi, S; Kitching, P; Lees, V W; Alexandersen, S

    2010-12-01

    There are many benefits that derive from real-time knowledge of the health status of the national livestock population. Effective animal disease surveillance is a requirement for countries that trade in live animals and their products in order to comply with the World Organization for Animal Health (OIE) guidelines. Rapid identification of introduced and emerging disease allows rapid response and mitigation of the economic consequences. Connections between animal and human disease caused by a common pathogen can be recognized and control measures implemented, thereby protecting public health and maintaining public confidence in the food supply. Production-limiting diseases can be monitored, and control programmes be evaluated with benefits accruing from decreased economic losses associated with disease as well as reducing the welfare concerns associated with diseased animals. Establishing a surveillance programme across a wide area with diverse ecosystems and political administrations as Canada is a complex challenge. When funding became available from a government programme to enable early detection of a bio-terrorist attack on livestock, the Canadian Animal Health Surveillance Network (CAHSN) became officially established. An existing web-based information platform that supports intelligence exchange, surveillance and response for public health issues in Canada was adapted to link the network animal health laboratories. A minimum data set was developed that facilitated sharing of results between participating laboratories and jurisdictions as the first step in creating the capacity for national disease trend analysis. In each of the network laboratories, similar quality assurance and bio-containment systems have been funded and supported, and diagnostic staff have been trained and certified on a suite of diagnostic tests for foreign animal diseases. This ensures that national standards are maintained throughout all of the diagnostic laboratories. This paper

  13. Hepatocellular Carcinoma Surveillance Among Patients With Cirrhosis in a Population-based Integrated Health Care Delivery System.

    PubMed

    Singal, Amit G; Tiro, Jasmin; Li, Xilong; Adams-Huet, Beverley; Chubak, Jessica

    2017-08-01

    Fewer than 1 in 5 patients with cirrhosis receive hepatocellular carcinoma (HCC) surveillance; however, most studies were performed in select patient populations, which may not be informative of practice patterns in population-based community practices. Further, few reported guideline-concordant consistent surveillance rates. Characterize guideline-concordant HCC surveillance rates and patient-level factors associated with surveillance among a population-based cohort of patients with cirrhosis. We retrospectively characterized HCC surveillance among cirrhosis patients followed between January 2010 and December 2012 at an integrated health care delivery system in Washington state. Consistent surveillance was defined as an ultrasound every 6 months, and inconsistent surveillance was defined as ≥1 ultrasound during the 2-year follow-up period. Univariate and multivariate analyses were conducted to identify correlates of HCC surveillance receipt. Of 1137 patients with cirrhosis, 22 (2%) underwent consistent surveillance, 371 (33%) had inconsistent surveillance, and 744 (65%) received no surveillance during follow-up. Correlates of HCC surveillance receipt in multivariate analysis included Gastroenterology/Hepatology subspecialty care [odds ratio (OR), 1.88; 95% confidence interval (CI), 1.44-2.46], Child Pugh B/C cirrhosis (OR, 1.61; 95% CI, 1.07-2.43), elevated aspartate aminotransferase (OR, 1.63; 95% CI, 1.13-2.35), and etiology of liver disease. Compared with hepatitis C-infected patients, patients with hepatitis B infection were more likely to undergo surveillance (OR, 2.72; 95% CI, 1.28-5.81), whereas patients with alcohol-related cirrhosis (OR, 0.63; 95% CI, 0.42-0.93) and nonalcoholic steatohepatitis (OR, 0.39; 95% CI, 0.28-0.56) were less likely to undergo surveillance. Although one third of patients undergo inconsistent HCC surveillance, <2% of patients receive guideline-concordant biannual HCC surveillance.

  14. Disease surveillance and nonprescription medication sales can predict increases in poison exposure.

    PubMed

    Krenzelok, Edward; MacPherson, Erma; Mrvos, Rita

    2008-03-01

    Real-time Outbreak and Disease Surveillance (RODS) is a national real-time syndromic surveillance system that classifies hospital registration chief complaints into one of seven syndromic categories. The National Retail Data Monitor (NRDM) is a public health surveillance tool that is designed to collect and analyze the daily sales of 18 categories of nonprescription medications. The goal of RODS and NRDM is to provide early warning of disease outbreaks, such as biological terrorism. The purpose of this study was to determine whether peak syndromic activity and the consequential purchase of nonprescription medications could predict an increase in poisoning exposures involving NRDM-monitored medications. Data from the RODS and NRDM databases were plotted graphically to portray activity that occurred during 2003. Data from a regional poison information center electronic medical record system that involved all human exposure calls related to NRDM monitored medications in 2003 were extracted and graphed. Analysis included comparisons between the data sets. Poison center exposure volume correlated predictably and simultaneously with the peak activity in both the RODS and NRDM databases. There was no delay between the onset of an influenza outbreak in December 2003, the sale of nonprescription palliative mediations, and the increase in poison center exposure call volume. Increased availability of and access to nonprescription medications resulted in more poisoning exposure calls. Real-time surveillance using other databases can help to forecast poison center activity. This knowledge allows the poison center to provide anticipatory guidance to the residents of its region.

  15. Challenges in Designing a National Surveillance Program for Inflammatory Bowel Disease in the United States

    PubMed Central

    Long, Millie D.; Hutfless, Susan; Kappelman, Michael D.; Khalili, Hamed; Kaplan, Gil; Bernstein, Charles N.; Colombel, Jean Frederic; Herrinton, Lisa; Velayos, Fernando; Loftus, Edward V.; Nguyen, Geoffrey C.; Ananthakrishnan, Ashwin N.; Sonnenberg, Amnon; Chan, Andrew; Sandler, Robert S.; Atreja, Ashish; Shah, Samir A.; Rothman, Kenneth; Leleiko, Neal S.; Bright, Renee; Boffetta, Paolo; Myers, Kelly D.; Sands, Bruce E.

    2015-01-01

    This review describes the history of US government funding for surveillance programs in IBD, provides current estimates of the incidence and prevalence of inflammatory bowel diseases (IBD) in the United States (US),