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Re: Machine Learning Approaches to Identify Communities with High HIV Prevalence in Resource-Limited Settings using Social, Economic and Behavioral Data

2025-11-14 hiv aids Title + abstract only
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BackgroundIdentifying communities with high HIV prevalence is crucial for public health officials, researchers, and policymakers to effectively monitor the epidemic and evaluate interventions. Population-based HIV biomarker surveys face logistical challenges such as cost, need for personnel trained in specimen collection, specimen transport and processing, and participant reluctance to test due to factors such as stigma, history of recent testing, and the perception of being at low risk for HIV ...

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