Title |
The AFHSC-Division of GEIS Operations Predictive Surveillance Program: a multidisciplinary approach for the early detection and response to disease outbreaks
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Published in |
BMC Public Health, March 2011
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DOI | 10.1186/1471-2458-11-s2-s10 |
Pubmed ID | |
Authors |
Clara J Witt, Allen L Richards, Penny M Masuoka, Desmond H Foley, Anna L Buczak, Lillian A Musila, Jason H Richardson, Michelle G Colacicco-Mayhugh, Leopoldo M Rueda, Terry A Klein, Assaf Anyamba, Jennifer Small, Julie A Pavlin, Mark M Fukuda, Joel Gaydos, Kevin L Russell, the AFHSC-GEIS Predictive Surveillance Writing Group |
Abstract |
The Armed Forces Health Surveillance Center, Division of Global Emerging Infections Surveillance and Response System Operations (AFHSC-GEIS) initiated a coordinated, multidisciplinary program to link data sets and information derived from eco-climatic remote sensing activities, ecologic niche modeling, arthropod vector, animal disease-host/reservoir, and human disease surveillance for febrile illnesses, into a predictive surveillance program that generates advisories and alerts on emerging infectious disease outbreaks. The program's ultimate goal is pro-active public health practice through pre-event preparedness, prevention and control, and response decision-making and prioritization. This multidisciplinary program is rooted in over 10 years experience in predictive surveillance for Rift Valley fever outbreaks in Eastern Africa. The AFHSC-GEIS Rift Valley fever project is based on the identification and use of disease-emergence critical detection points as reliable signals for increased outbreak risk. The AFHSC-GEIS predictive surveillance program has formalized the Rift Valley fever project into a structured template for extending predictive surveillance capability to other Department of Defense (DoD)-priority vector- and water-borne, and zoonotic diseases and geographic areas. These include leishmaniasis, malaria, and Crimea-Congo and other viral hemorrhagic fevers in Central Asia and Africa, dengue fever in Asia and the Americas, Japanese encephalitis (JE) and chikungunya fever in Asia, and rickettsial and other tick-borne infections in the U.S., Africa and Asia. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 3% |
United Kingdom | 4 | 2% |
Australia | 2 | <1% |
Netherlands | 1 | <1% |
Pakistan | 1 | <1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Germany | 1 | <1% |
Peru | 1 | <1% |
Other | 3 | 1% |
Unknown | 197 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 41 | 19% |
Student > Master | 39 | 18% |
Student > Ph. D. Student | 26 | 12% |
Student > Doctoral Student | 17 | 8% |
Student > Bachelor | 16 | 7% |
Other | 49 | 22% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 50 | 23% |
Medicine and Dentistry | 41 | 19% |
Veterinary Science and Veterinary Medicine | 14 | 6% |
Social Sciences | 11 | 5% |
Biochemistry, Genetics and Molecular Biology | 9 | 4% |
Other | 53 | 24% |
Unknown | 40 | 18% |