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United States Department of Agriculture

Agricultural Research Service

Title: Prediction, Assessment of the Rift Valley fever Activity in East and Southern Africa 2006 - 2008 and Possible Vector Control Strategies)

Author
item Anyamba, Assaf
item Linthicum, Kenneth - Ken
item Small, Jennifer
item Britch, Seth
item Pak, Edwin
item De La Rocque, Stephane
item Formenty, Pierre
item Hightower, Allan
item Breiman, Robert
item Chretien, Jean-paul
item Tucker, Compton
item Schnabel, David
item Sang, Rosemary
item Haagsma, Karl
item Latham, Mark
item Lewandowski, Henry
item Swanepoel, Robert

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 2/28/2010
Publication Date: 3/28/2010
Citation: Anyamba, A., Linthicum, K., Small, J., Britch, S.C., Pak, E., De La Rocque, S., Formenty, P., Hightower, A., Breiman, R., Chretien, J., Tucker, C., Schnabel, D., Sang, R., Haagsma, K., Latham, M., Lewandowski, H., Swanepoel, R. 2010. Prediction, Assessment of the Rift Valley fever Activity in East and Southern Africa 2006 - 2008 and Possible Vector Control Strategies. Presentation at the 76th Annual Meeting of the American Mosquito Control Association in Lexington, Kentucky on March 28 - April 1, 2010; pg. 28.

Interpretive Summary:

Technical Abstract: Historical outbreaks of Rift Valley fever (RVF) since the early 1950s have been associated with cyclical patterns of the El Nino/Southern Oscillation (ENSO) phenomenon which results in elevated and widespread rainfall over the RVF endemic areas of Africa. Using satellite measurements of global and regional elevated sea surface temperatures, elevated rainfall and satellite derived-normalized difference vegetation index data, we predicted with lead times of 2-4 months areas where outbreaks of RVF in humans and animals were expected and occurred in the Horn of Africa, Sudan and Southern Africa at different time periods from September 2006 to March 2008. Predictions were confirmed by entomological field investigations of virus activity and by reported cases of RVF in human and livestock populations. This represents the first series of prospective predictions of RVF outbreaks and provides a baseline for improved early warning, control, response planning and mitigation into the future.

Last Modified: 8/24/2016
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