Prediction of a Rift Valley fever outbreak

Assaf Anyamba, Jean Paul Chretien, Jennifer Small, Compton J. Tucker, Pierre B. Formenty, Jason H. Richardson, Seth C. Britch, David C. Schnabel, Ralph L. Erickson, Kenneth J. Linthicum

Research output: Contribution to journalArticlepeer-review

287 Scopus citations

Abstract

El Niño/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.

Original languageEnglish
Pages (from-to)955-959
Number of pages5
JournalProceedings of the National Academy of Sciences of the United States of America
Volume106
Issue number3
DOIs
StatePublished - Jan 20 2009
Externally publishedYes

Keywords

  • El Niño
  • Horn of Africa
  • Risk mapping
  • Vegetation index
  • Zoonotic disease

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