Assessing accuracy and performance: of recording mRDT results, result stability over time, and AI RDT reading, a collection of publications from a 4-country study in Africa

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Audere, PATH, and partners across Benin, Nigeria, Uganda, and Côte d'Ivoire have published a series of papers with results from a 4-country operational research study to understand the agreement of mRDT results reported by healthcare workers and Audere’s HealthPulse AI interpretations to understand and improve surveillance.

• Accuracy of recording of malaria rapid diagnostic test results in Uganda

• Accuracy of recording and reporting of malaria rapid diagnostic tests in Nigeria

• Are malaria rapid diagnostic test results stable over time to support verification of surveillance data? 

• Evaluating the performance of an artificial intelligence-based electronic reader for malaria rapid diagnostic tests across Benin, Côte d’Ivoire, Nigeria and Uganda 

• Assessing the accuracy of the recording and reporting of malaria rapid diagnostic test results in four African countries: methods and key results