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ATLAS Team

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Using Routine Programmatic Data to Estimate the Population-Level Impacts of HIV Self-Testing: The Example of the Atlas Program in Cote D’Ivoire

Number of pages: 35 Posted: 04 Feb 2022
Arlette Fotso, Cheryl Johnson, Anthony Vautier, Konan Blaise Kouamé, Papa Moussa Diop, Romain Silhol, Mathieu Maheu-Giroux, Marie-Claude Boily, Nicolas Rouveau, Clémence Doumenc-Aïdara, Rachel Baggaley, Eboi Ehui, Joseph Larmarange and ATLAS Team
University of Paris - Centre Population & Dévelopement, World Health Organization (WHO) - Global HIV, Hepatitis and STI Programme, Solidarité Thérapeutique et Initiatives pour la Santé, Programme National de Lutte contre le Sida, Solidarité Thérapeutique et Initiatives pour la Santé, Imperial College London - Medical Research Council Centre for Global Infectious Disease Analysis, McGill University - Epidemiology, Biostatistics, & Occupational Health, Imperial College London - Medical Research Council Centre for Global Infectious Disease Analysis, Université de Paris - Centre Population & Développement, Solidarité Thérapeutique et Initiatives pour la Santé, World Health Organization (WHO) - Global HIV, Hepatitis and STI Programme, Programme National de Lutte contre le Sida, Université de Paris - Centre Population & Développement and affiliation not provided to SSRN
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HIV, HIV self-testing, access to HIV testing, conventional testing, diagnoses, antiretroviral treatment, Key populations, vulnerable populations, ATLAS project, programmatic data, triangulation of data, time series regression, West Africa, Côte d'Ivoire