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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Veröffentlicht in:Science (American Association for the Advancement of Science) Jg. 285; H. 5426; S. 397 - 400
Hauptverfasser: Linthicum, K.J, Anyamba, A, Tucker, C.J, Kelley, P.W, Myers, M.F, Peters, C.J
Format: Journal Article
Sprache:Englisch
Veröffentlicht: 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
Schlagworte:
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
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
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ISSN:0036-8075
1095-9203
DOI:10.1126/science.285.5426.397