4.8 Article

Prediction of a Rift Valley fever outbreak

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.0806490106

Keywords

El Nino; Horn of Africa; vegetation index; risk mapping; zoonotic disease

Funding

  1. United States Army Medical Research Unit-Kenya
  2. World Health Organization Department of Epidemic and Pandemic Alert and Response
  3. Food and Agricultural Organization of the United Nations
  4. United States Department of Agriculture Foreign Agricultural Service
  5. Centers for Disease Control and Prevention
  6. Department of Defense Global Emerging Infections Surveillance and Response System
  7. United States Department of Agriculture-Agricultural Research Service

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El Nino/Southern Oscillation related climate anomalies were analyzed by using a combination of satellite measurements of elevated sea-surface temperatures and subsequent elevated rainfall and satellite-derived normalized difference vegetation index data. A Rift Valley fever (RVF) risk mapping model using these climate data predicted areas where outbreaks of RVF in humans and animals were expected and occurred in the Horn of Africa from December 2006 to May 2007. The predictions were subsequently confirmed by entomological and epidemiological field investigations of virus activity in the areas identified as at risk. Accurate spatial and temporal predictions of disease activity, as it occurred first in southern Somalia and then through much of Kenya before affecting northern Tanzania, provided a 2 to 6 week period of warning for the Horn of Africa that facilitated disease outbreak response and mitigation activities. To our knowledge, this is the first prospective prediction of a RVF outbreak.

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