Ontology highlight
ABSTRACT: Background
Transmission of malaria in sub-Saharan Africa has become increasingly stratified following decades of malaria control interventions. The extent to which environmental and land cover risk factors for malaria may differ across distinct strata of transmission intensity is not well known and could provide actionable targets to maximize the success of malaria control efforts.Methods
This study used cross-sectional malaria survey data from a nationally representative cohort of school-aged children in Tanzania, and satellite-derived measures for environmental features and land cover. Hierarchical logistic regression models were applied to evaluate associations between land cover and malaria prevalence within three distinct strata of transmission intensity: low and unsta
SUBMITTER: Mitchell CL
PROVIDER: S-EPMC8905829 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature