MHAT app for automated malaria rapid test result analysis and aggregation: a pilot study.

ABSTRACT:

Background

There are a variety of approaches being used for malaria surveillance. While active and reactive case detection have been successful in localized areas of low transmission, concerns over scalability and sustainability keep the approaches from being widely accepted. Mobile health interventions are poised to address these shortcomings by automating and standardizing portions of the surveillance process. In this study, common challenges associated with current data aggregation methods have been quantified, and a web-based mobile phone application is presented to reduce the burden of reporting rapid diagnostic test (RDT) results in low-resource settings.

Methods

De-identified completed RDTs were collected at 14 rural health clinics as part of a malaria epidemiology st

SUBMITTER: Moore C 

PROVIDER: S-EPMC8153521 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature