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Regional Animal Health Situational Awareness Project
C.N. Carter, A. Odoi
Livestock Disease Diagnostic Center
Animal diseases can easily spread because veterinarians and farmers have no knowledge of what risk factors are present in and around their practice areas and farm locales. This study will establish a system to collect and analyse animal health events in a multi-state region and disseminate web-based animal health risk information.
2008 Project Description
This project resulted in an interactive disease map that allows practicing veterinarians, state animal health officials, and farmers to view confirmed diagnoses of diseases in animals by county and species. A moving 30-day window of diagnoses is displayed. Near-real time spatial-temporal animal disease cluster detection which generates alerts to appropriate animal health officials, veterinarians, and epidemiologists. Improved awareness of animal health events leads to improved economic outcomes for animal agriculture.
The outputs from this project provide a near-real time situational awareness of animal diseases, thereby enabling an earlier response and improved outcomes. This project enables an early response to a possible emerging animal health and/or potential agroterrorist act. This could become a national model for disease alerting and response.
Odoi A, Carter CN, Riley J, Smith J: Automated Surveillance Data Analysis System (ASDAS): A near real-time disease outbreak detection and alert system. Proceedings of the annual meeting of the Can Assoc Vet Epi Prev Med Conf, June 9, 2007.
Carter CN, Odoi A, Riley J, Smith J, Stepusin R, Cattoi T, McCollum S: Laboratory-based early animal disease detection utilizing a prospective space-time permutation scan statistic. Proceed of the XIII International Symposium of the WAVLD, 2007, p96.
Carter CN, Odoi A, Riley J, Smith J, Cattoi T, McCollum S: Laboratory- based early animal disease detection utilizing a prospective space- time permutation scan statistic. Proceed 50th Conf. AAVLD, p 69, Oct, 2007.