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

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...

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Vydáno v:	Science (American Association for the Advancement of Science) Ročník 285; číslo 5426; s. 397 - 400
Hlavní autoři:	Linthicum, K.J, Anyamba, A, Tucker, C.J, Kelley, P.W, Myers, M.F, Peters, C.J
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Washington, DC American Society for the Advancement of Science 16.07.1999 American Association for the Advancement of Science The American Association for the Advancement of Science
Témata:	Advanced very high resolution radiometers Animals Arboviroses Biological and medical sciences Climate Climate models climatic zones Congenital Impairments Disease Outbreaks El Nino Epidemics epidemiology Forecasting Global climate models Health aspects Human viral diseases Humans Infectious diseases Kenya Kenya - epidemiology Medical sciences Meteorological research Miscellaneous Mosquitos Oceans Oceans and Seas Outbreaks Pacific Ocean prevention & control Public health Rain Rain and rainfall remote sensing Rift Valley fever Rift Valley Fever - epidemiology Rift Valley Fever - prevention & control Rift Valley Fever - veterinary Rift Valley fever virus satellite surveys Sea surface temperature Sub-Saharan Africa Temperature Tropical medicine Tropical viral diseases Vector-borne diseases Vegetation veterinary Viral diseases Viruses Weather Kenya Africa Pacific Ocean Sub-Saharan Africa Rift Valley, Kenya Infection Epidemic Rift valley fever Human Climate Viral disease Arbovirus disease Risk factor Satellite Forecast model Forecasting
ISSN:	0036-8075, 1095-9203
On-line přístup:	Získat plný text
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Shrnutí:	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.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
ISSN:	0036-8075 1095-9203
DOI:	10.1126/science.285.5426.397