Malaria outbreak prediction at the sub-district level in Zambia using remote sensing satellite data.

ABSTRACT:

Background

Seasonal surges in malaria place significant strain on health systems, resulting in frequent shortages of diagnostic tests and antimalarial drugs. Reliable forecasts of outbreaks can help health authorities plan resource allocation more efficiently. This study aimed to develop and validate a predictive model of malaria outbreaks in a low-transmission setting in southern Zambia using remote sensing data on temperature and rainfall.

Methods

Weekly health facility malaria case data were obtained over fifteen years for a sub-district catchment area in Choma District, Zambia. Remotely sensed rainfall estimates were derived from Climate Hazards Group InfraRed Precipitation with Station data. Land surface temperature was obtained from the MODerate-resolution Imaging Spec

SUBMITTER: Ippolito MM 

PROVIDER: S-EPMC12625025 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature