Mapping malaria seasonality in Madagascar using health facility data.

ABSTRACT:

Background

Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing environmental conditions. Identifying location-specific seasonality characteristics is useful for planning interventions. While most existing maps of malaria seasonality use fixed thresholds of rainfall, temperature, and/or vegetation indices to identify suitable transmission months, we construct a statistical modelling framework for characterising the seasonal patterns derived directly from monthly health facility data.

Methods

With data from 2669 of the 3247 health facilities in Madagascar, a spatiotemporal regression model was used to estimate seasonal patterns across the island. In the absence of catchment

SUBMITTER: Nguyen M 

PROVIDER: S-EPMC7008536 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature