Malaria treatment for prevention: a modelling study of the impact of routine case management on malaria prevalence and burden.

ABSTRACT:

Background

Testing and treating symptomatic malaria cases is crucial for case management, but it may also prevent future illness by reducing mean infection duration. Measuring the impact of effective treatment on burden and transmission via field studies or routine surveillance systems is difficult and potentially unethical. This project uses mathematical modeling to explore how increasing treatment of symptomatic cases impacts malaria prevalence and incidence.

Methods

Leveraging the OpenMalaria stochastic agent-based transmission model, we first simulated an array of transmission intensities with baseline effective treatment coverages of 28%, 44%, and 54% incorporated to reflect the 2023 coverage distribution across Africa, as estimated by the Malaria Atlas Project. We asse

SUBMITTER: Camponovo F 

PROVIDER: S-EPMC11549775 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature