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, United States

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

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

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

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

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

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, 30329
  • United States
  • Phone: 1 404-639-8284
  • Email: zat4@cdc.gov