A malaria seasonality dataset for sub-Saharan Africa.

ABSTRACT: Malaria imposes a significant global health burden and remains a major cause of child mortality in sub-Saharan Africa. In many countries, malaria transmission varies seasonally. The use of seasonally-deployed interventions is expanding, and the effectiveness of these control measures hinges on quantitative and geographically-specific characterisations of malaria seasonality. Malariometric timeseries from routine surveillance data and scientific and programmatic literature offer a resource for modelling patterns of malaria seasonality. This study creates and makes publicly available a geolocated dataset of historical timeseries describing malaria seasonality published since 2000 for sub-Saharan Africa. We used three approaches to assemble the dataset: i) an extensive literature review that

SUBMITTER: Sanna F 

PROVIDER: S-EPMC12569248 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature