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Mohammed Majam is a public health researcher whose work centers on HIV prevention, self-testing, and health systems strengthening in South Africa and other low- and middle-income settings. His scholarship reflects strong engagement with implementation science, digital health innovation, and community-based service delivery models aimed at expanding access to diagnosis and treatment among underserved populations, particularly men and young people.
A major focus of his research is HIV self-testing, including distribution strategies, mHealth reporting platforms, linkage-to-care interventions, and the acceptability and accuracy of blood-based self-tests. His studies demonstrate how community outreach, workplace programs, and digital follow-up tools can improve testing uptake and support antiretroviral initiation. He also explores machine learning applications for HIV risk prediction, highlighting the integration of artificial intelligence with mobile health tools in resource-limited settings.
Beyond HIV, Majam has contributed to evaluations of COVID-19 rapid diagnostics and integrated screening for non-communicable diseases, emphasizing cost-effectiveness and real-world care pathways in LMICs. This body of work underscores expertise in pragmatic program evaluation, health economics, and policy-relevant research designed to inform scalable, equitable diagnostic and treatment strategies.
Latest publications
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