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Journal Article
Predicting Malaria Epidemics in the Kenyan Highlands Using Climate Data: A Tool for Decision Makers
Journal
Global Change & Human Health
Publisher
Springer Netherlands
ISSN
1389-5702 (Print) 1573-7314 (Online)
Issue
Volume 2, Number 1 / July, 2001
DOI
10.1023/A:1011943131643
Pages
54-63
Subject Collection
Medicine
SpringerLink Date
Tuesday, November 02, 2004
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Predicting Malaria Epidemics in the Kenyan Highlands Using Climate Data: A Tool for Decision Makers
Andrew K. Githeko
1
and William Ndegwa
2
(1)
Kenya Medical Research Institute, P. O. Box 1578, Kisumu, Kenya
(2)
Kenya Meteorology Department, Kenya
Abstract
While the underlying cause of malaria epidemics in the East African highlands remains a subject of debate, we argue that permissive climatic conditions in the normally cool highlands are required for the epidemics to occur. Analysis of climate data from East Africa suggested that, over the last decade, there has been an increase in the frequency and intensity of anomalies in the mean monthly maximum temperatures. We found an association between rainfall and unusually high maximum temperatures and the number of inpatient malaria cases 3–4 months later. A malaria epidemic prediction model was then constructed.
This revised version was published online in September 2006 with corrections to the Cover Date.
Andrew
K.
Githeko
Email:
AGitheko@kisian.mimcom.net
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