Estimating the local spatio-temporal distribution of malaria from routine health information systems in areas of low health care access and reporting.

ABSTRACT:

Background

Reliable surveillance systems are essential for identifying disease outbreaks and allocating resources to ensure universal access to diagnostics and treatment for endemic diseases. Yet, most countries with high disease burdens rely entirely on facility-based passive surveillance systems, which miss the vast majority of cases in rural settings with low access to health care. This is especially true for malaria, for which the World Health Organization estimates that routine surveillance detects only 14% of global cases. The goal of this study was to develop a novel method to obtain accurate estimates of disease spatio-temporal incidence at very local scales from routine passive surveillance, less biased by populations' financial and geographic access to care.

Methods

SUBMITTER: Hyde E 

PROVIDER: S-EPMC7879399 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature