Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya

被引：396

作者：

Linthicum, KJ

Anyamba, A ^{[1
]}

Tucker, CJ

Kelley, PW

Myers, MF

Peters, CJ

机构：

[1] Walter Reed Army Med Ctr, Walter Reed Army Inst Res, Dept Def, Washington, DC 20307 USA

[2] NASA, Goddard Space Flight Ctr, Earth Sci Directorate, Greenbelt, MD 20771 USA

[3] Ctr Dis Control & Prevent, Special Pathogens Branch, Atlanta, GA 30333 USA

来源：

SCIENCE | 1999年 / 285卷 / 5426期

关键词：

D O I：

10.1126/science.285.5426.397

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

All known Rift Valley fever virus outbreaks in East Africa from 1950 to May 1998, and probably earlier, followed periods of abnormally high rainfall. Analysis of this record and Pacific and Indian Ocean sea surface temperature anomalies, coupled with satellite normalized difference vegetation index data, shows that prediction of Rift Valley fever outbreaks may be made up to 5 months in advance of outbreaks in East Africa. Concurrent near-real-time monitoring with satellite normalized difference vegetation data may identify actual affected areas.

引用

页码：397 / 400

页数：4

共 31 条

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[Anonymous], TELECONNECTIONS LINK

[2] Interannual variability of NDVI over Africa and its relation to El Nino Southern Oscillation [J].