Key Population Size Estimation to Guide HIV Epidemic Responses in Nigeria: Bayesian Analysis of 3-Source Capture-Recapture Data.

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Title: Key Population Size Estimation to Guide HIV Epidemic Responses in Nigeria: Bayesian Analysis of 3-Source Capture-Recapture Data.
Authors: McIntyre AF; Division of Global HIV and TB, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, United States., Mitchell A; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States., Stafford KA; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States.; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, United States.; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, United States., Nwafor SU; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Abuja, Nigeria., Lo J; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States.; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, United States., Sebastian V; Division of Global HIV and TB, Center for Global Health, Centers for Disease Control and Prevention, Abuja, Nigeria., Schwitters A; Division of Global HIV and TB, Center for Global Health, Centers for Disease Control and Prevention, Abuja, Nigeria., Swaminathan M; Division of Global HIV and TB, Center for Global Health, Centers for Disease Control and Prevention, Abuja, Nigeria., Dalhatu I; Division of Global HIV and TB, Center for Global Health, Centers for Disease Control and Prevention, Abuja, Nigeria., Charurat M; Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, United States.; Center for International Health, Education, and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, United States.
Source: JMIR public health and surveillance [JMIR Public Health Surveill] 2022 Oct 26; Vol. 8 (10), pp. e34555. Date of Electronic Publication: 2022 Oct 26.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101669345 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-2960 (Electronic) Linking ISSN: 23692960 NLM ISO Abbreviation: JMIR Public Health Surveill Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2369-2960
DOI:10.2196/34555