Early prediction of malaria epidemics in the East African Highlands using climate data

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dc.contributor.authorKenya medical research institute
dc.date.accessioned2011-07-07T17:58:20Z
dc.date.available2011-07-07T17:58:20Z
dc.date.issued2010
dc.description.abstractThe 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.en
dc.identifier.urihttp://hdl.handle.net/10625/46456
dc.language.isoen
dc.publisherClimate and Human Health Research Unit, Kenya medical research institute, Nairobi, KEen
dc.subjectMALARIAen
dc.subjectEPIDEMIOLOGYen
dc.subjectDISEASE CONTROLen
dc.subjectPROPHYLAXISen
dc.subjectMALARIA EPIDEMICSen
dc.subjectEARLY PREDICTIONen
dc.subjectCLIMATE DATAen
dc.subjectWEATHERen
dc.subjectEAST AFRICAen
dc.titleEarly prediction of malaria epidemics in the East African Highlands using climate dataen
dc.typePolicy Briefen
idrc.dspace.accessIDRC Onlyen
idrc.project.number104707
idrc.project.titleTransferring the Malaria Epidemic Prediction Model to Users in East Africaen
idrc.rims.adhocgroupIDRC SUPPORTEDen

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