Frank Tanser

Lincoln University

Unit 3, Level 16, Block B, SkyVill, JLN SP 5/5, Se

Sri Kambang,, 43300

Malaysia

  • Lincoln University

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Predicting High HIV Incidence Areas Using Geospatial Risk Profiles: A National Prospective Cohort Study in Eswatini

Number of pages: 20 Posted: 01 Feb 2022
Neena M. Philip, Gina S. Lovasi, Rejoice Nkambule, Frank Tanser, Quarraisha Abdool Karim, Jessica Justman and Barun Mathema
Columbia University - ICAP, Drexel University - School of Public Health, affiliation not provided to SSRN, Lincoln University, University of KwaZulu-Natal - Centre for the AIDS Programme of Research in South Africa (CAPRISA), Columbia University - ICAP and affiliation not provided to SSRN
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Abstract:

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HIV, viremia, viral load, viral suppression, incidence, risk profiles, area risk profiles, geospatial, population-based, risk factor, multi-level latent class analysis