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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 Pak, Edwin
item Tucker, Compton
item Chretien, Jean-paul
item Britch, Seth
item Breiman, Robert
item Hightower, Allan
item De la rocque, Stephane
item Formenty, Pierre
item Haagsma, Karl
item Latham, Mark
item Lewandowski, Henry
item Sang, Rosemary
item Schnabel, David
item Richardson, Jason

Submitted to: Meeting Abstract
Publication Type: Abstract only
Publication Acceptance Date: 10/22/2009
Publication Date: 11/18/2009
Citation: Anyamba, A., Linthicum, K., Small, J., Pak, E., Tucker, C.J., Chretien, J., Britch, S.C., Breiman, R., Hightower, A., De La Rocque, S., Formenty, P., Haagsma, K., Latham, M., Lewandowski, H.B., Sang, R., Schnabel, D., Richardson, J. 2009. Prediction, Assessment of the Rift Valley Fever Activity in East and Southern Africa 2006 - 2008 and Possible Vector Control Strategies [abstract]. The American Journal of Tropical Medicine and Hygiene. 81(5):186.

Interpretive Summary:

Technical Abstract: Historical episodic outbreaks of Rift Valley fever (RVF) since the early 1950s have been associated with cyclical patterns (El Niño and La Niña) of El Niño 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, and subsequent elevated rainfall and satellite derived-normalized difference vegetation index data, we predicted with lead times of 2- 4 months specific 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 in the areas we identified 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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