Identifying individual, household and environmental risk factors for malaria infection on Bioko Island to inform interventions.

ABSTRACT:

Background

Since 2004, malaria transmission on Bioko Island has declined significantly as a result of the scaling-up of control interventions. The aim of eliminating malaria from the Island remains elusive, however, underscoring the need to adapt control to the local context. Understanding the factors driving the risk of malaria infection is critical to inform optimal suits of interventions in this adaptive approach.

Methods

This study used individual and household-level data from the 2015 and 2018 annual malaria indicator surveys on Bioko Island, as well as remotely-sensed environmental data in multilevel logistic regression models to quantify the odds of malaria infection. The analyses were stratified by urban and rural settings and by survey year.

Results

Malaria p

SUBMITTER: Garcia GA 

PROVIDER: S-EPMC9979414 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature