Attribution: Please use this identifier to share, cite, or link to this item: http://hdl.handle.net/10625/46456
Title: Early prediction of malaria epidemics in the East African Highlands using climate data
Authors: Kenya medical research institute
Keywords: MALARIA
EPIDEMIOLOGY
DISEASE CONTROL
PROPHYLAXIS
MALARIA EPIDEMICS
EARLY PREDICTION
CLIMATE DATA
WEATHER
EAST AFRICA
Date: 2010
Publisher: Climate and Human Health Research Unit, Kenya medical research institute, Nairobi, KE
Abstract: The Kenya Medical Research Institute has developed a climate model for early prediction of malaria epidemics. Designed for joint use by the Departments of Meteorology and National Malaria Control Programs (NMCP), the models are user-friendly and generate accurate decision-making information. Increase in malaria cases during an epidemic is exponential; cases can increase from100-600% quickly depleting resources required to manage the epidemic. The new models show high sensitivity, specificity and positive predictive power; they can detect weather conditions that support rapid generation of malaria parasites in disease vectors 2-3 months ahead of the epidemic, thus providing sufficient time to deploy interventions.
URI: http://hdl.handle.net/10625/46456
Project Number: 104707
Project Title: Transferring the Malaria Epidemic Prediction Model to Users in East Africa
Access: IDRC Only
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