[Show abstract][Hide abstract] ABSTRACT: Morbidity and mortality associated with an infectious disease outbreak can be mitigated by early
detection followed by swift action. Modelling, tracking and predicting disease outbreaks are
therefore priorities for public health agencies. New media data sources, including social media
platforms, the internet and mobile phone applications, now aid in detecting outbreaks earlier than
would have been possible using traditional surveillance methods alone. I review the literature on
uses of new media methods for detecting disease outbreaks in humans and animals, with a focus on
veterinary diseases and the difference in challenges compared with human disease surveillance.
I then discuss the complex issue of evaluation of new media-based surveillance systems. The
proliferation of new media methods for disease surveillance has not included published evaluation
of each method or of the challenges faced, which limits the potential for a particular method to be
applied outside its original context.
CAB Reviews Perspectives in Agriculture Veterinary Science Nutrition and Natural Resources 02/2013; 8(31):1-13.
[Show abstract][Hide abstract] ABSTRACT: To evaluate a new military syndromic surveillance system (2SE FAG) set up in French Guiana.
The evaluation was made using the current framework published by the Centers for Disease Control and Prevention, Atlanta, USA. Two groups of system stakeholders, for data input and data analysis, were interviewed using semi-structured questionnaires to assess timeliness, data quality, acceptability, usefulness, stability, portability and flexibility of the system. Validity was assessed by comparing the syndromic system with the routine traditional weekly surveillance system.
Qualitative data showed a degree of poor acceptability among people who have to enter data. Timeliness analysis showed excellent case processing time, hindered by delays in case reporting. Analysis of stability indicated a high level of technical problems. System flexibility was found to be high. Quantitative data analysis of validity indicated better agreement between syndromic and traditional surveillance when reporting on dengue fever cases as opposed to other diseases.
The sophisticated technical design of 2SE FAG has resulted in a system which is able to carry out its role as an early warning system. Efforts must be concentrated on increasing its acceptance and use by people who have to enter data and decreasing the occurrence of the frequency of technical problems.
Journal of Public Health 05/2008; 30(4):375-83. · 2.06 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The main objective of this study was to evaluate the contribution of a newly implemented daily surveillance system to the management of the 2009 A(H1N1) influenza pandemic by the military decision-makers at different levels in the French Department of Defence.
The study sample included all medical advisors in the Ministry of Defence and the French Armed Forces Staff and also the members of the specific committee dedicated to flu pandemic control. The variables studied were mental representation of epidemiology, relevance, usefulness, and real-time use of surveillance data using quantitative questionnaires and qualitative face-to-face semistructured interviews.
Among the risk managers of the flu pandemic in the Armed Forces, 84% responded. The data generated by epidemiological surveillance were considered relevant and useful, and were reported as effectively used. On the basis of the information produced, concrete actions were planned and implemented in the French Armed Forces.
In a pandemic situation involving low mortality, the daily monitoring of the disease did not target public health issues, but it was mainly used to assess the availability of the Armed Forces in real time. For the military staff, epidemiological surveillance represents an essential information tool for the conduct of operations.
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