Published on in Vol 8 , No 10 (2022) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34555, first published .
Key Population Size Estimation to Guide HIV Epidemic Responses in Nigeria: Bayesian Analysis of 3-Source Capture-Recapture Data

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

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

Anne F McIntyre 1 , MPH, PhD ;   Andrew Mitchell 2 , BS ;   Kristen A Stafford 2, 3, 4 , MPH, PhD ;   Samuel Uchenna Nwafor 5 , MPH ;   Julia Lo 2, 3 , MSPH ;   Victor Sebastian 6 , MBBS, MPH ;   Amee Schwitters 6 , MPH, PhD ;   Mahesh Swaminathan 6 , MD ;   Ibrahim Dalhatu 6 , MBBS, MPA ;   Man Charurat 2, 3 , PhD

1 Division of Global HIV and TB , Center for Global Health , Centers for Disease Control and Prevention , Atlanta , GA , US

2 Institute of Human Virology , University of Maryland School of Medicine , Baltimore , MD , US

3 Center for International Health, Education, and Biosecurity , University of Maryland School of Medicine , Baltimore , MD , US

4 Department of Epidemiology and Public Health , University of Maryland School of Medicine , Baltimore , MD , US

5 Center for International Health, Education, and Biosecurity , University of Maryland School of Medicine , Abuja , NG

6 Division of Global HIV and TB , Center for Global Health , Centers for Disease Control and Prevention , Abuja , NG

Corresponding Author:

  • Anne F McIntyre, MPH, PhD
  • Division of Global HIV and TB
  • Center for Global Health
  • Centers for Disease Control and Prevention
  • 1600 Clifton Road NE MS E-30
  • Atlanta, GA
  • US
  • Phone: 1 404-639-8284
  • Email: zat4@cdc.gov