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

Journals

  1. Tuyishime E, Kayitesi C, Musengimana G, Malamba S, Moges H, Kankindi I, Escudero H, Habimana Kabano I, Oluoch T, Remera E, Chukwu A. Population Size Estimation of Men Who Have Sex With Men in Rwanda: Three-Source Capture-Recapture Method. JMIR Public Health and Surveillance 2023;9:e43114 View
  2. Tuyishime E, Remera E, Kayitesi C, Malamba S, Sangwayire B, Habimana Kabano I, Ruisenor-Escudero H, Oluoch T, Unna Chukwu A. Estimation of the Population Size of Street- and Venue-Based Female Sex Workers and Sexually Exploited Minors in Rwanda in 2022: 3-Source Capture-Recapture. JMIR Public Health and Surveillance 2024;10:e50743 View
  3. Jacobson J, Doum D, Lobo N, Sovannaroth S, Tatarsky A, McIver D. Estimating the Size of Populations at High Risk of Malaria in 2 Operational Districts in Cambodia: Household-Based Survey. JMIR Public Health and Surveillance 2024;10:e58584 View
  4. Jing L, Yu H, Lu Q. Further Exploring the Public Health Implications of the Network Scale-Up Method: Cross-Sectional Survey Study. JMIR Public Health and Surveillance 2024;10:e48289 View