The use of routine health facility data for micro-stratification of malaria risk in mainland Tanzania.

ABSTRACT:

Background

Current efforts to estimate the spatially diverse malaria burden in malaria-endemic countries largely involve the use of epidemiological modelling methods for describing temporal and spatial heterogeneity using sparse interpolated prevalence data from periodic cross-sectional surveys. However, more malaria-endemic countries are beginning to consider local routine data for this purpose. Nevertheless, routine information from health facilities (HFs) remains widely under-utilized despite improved data quality, including increased access to diagnostic testing and the adoption of the electronic District Health Information System (DHIS2). This paper describes the process undertaken in mainland Tanzania using routine data to develop a high-resolution, micro-stratification risk

SUBMITTER: Thawer SG 

PROVIDER: S-EPMC9675286 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature