Spatio-temporal monitoring of health facility-level malaria trends in Zambia and adaptive scaling for operational intervention.

ABSTRACT:

Background

The spatial and temporal variability inherent in malaria transmission within countries implies that targeted interventions for malaria control in high-burden settings and subnational elimination are a practical necessity. Identifying the spatio-temporal incidence, risk, and trends at different administrative geographies within malaria-endemic countries and monitoring them in near real-time as change occurs is crucial for developing and introducing cost-effective, subnational control and elimination intervention strategies.

Methods

This study developed intelligent data analytics incorporating Bayesian trend and spatio-temporal Integrated Laplace Approximation models to analyse high-burden over 32 million reported malaria cases from 1743 health facilities in Zambia

SUBMITTER: Lubinda J 

PROVIDER: S-EPMC9249860 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature