Increasing the resolution of malaria early warning systems for use by local health actors.

ABSTRACT:

Background

The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. Many of these models have been operationalized into malaria early warning systems (MEWSs), which provide predictions of malaria dynamics several months in advance at national and regional levels. However, MEWSs rarely produce predictions at the village-level, the operational scale of community health systems and the first point of contact for the majority of rural populations in malaria-endemic countries.

Methods

This study developed a hyper-local MEWS for use within a health-system strengthening intervention in rural Madagascar. It combined bias-corrected, village-level case

SUBMITTER: Evans MV 

PROVIDER: S-EPMC11780933 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature