This paper is in the following e-collection/theme issue:

Descriptive Epidemiology and Population Size Estimates (109) HIV/AIDS/STI Prevention and Care (882) LGBTQ Issues (453) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) Public (e)Health, Digital Epidemiology and Public Health Informatics (750) Data Science (278) Development and Evaluation of Research Methods, Instruments and Tools (511) Innovative Methods in Public Health and Surveillance (336) Public Health Informatics (93)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48963, first published .
Leveraging Routinely Collected Program Data to Inform Extrapolated Size Estimates for Key Populations in Namibia: Small Area Estimation Study

Leveraging Routinely Collected Program Data to Inform Extrapolated Size Estimates for Key Populations in Namibia: Small Area Estimation Study

Leveraging Routinely Collected Program Data to Inform Extrapolated Size Estimates for Key Populations in Namibia: Small Area Estimation Study

Authors of this article:

Talia Loeb1 Author Orcid Image ;   Kalai Willis1 Author Orcid Image ;   Frans Velishavo2 Author Orcid Image ;   Daniel Lee3 Author Orcid Image ;   Amrita Rao1 Author Orcid Image ;   Stefan Baral1 Author Orcid Image ;   Katherine Rucinski4 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Talia Loeb   1 , MHS ;   Kalai Willis   1 , MSPH ;   Frans Velishavo   2 , BBA ;   Daniel Lee   3 , MPH ;   Amrita Rao   1 , PhD ;   Stefan Baral   1 , MD ;   Katherine Rucinski   4 , PhD

1 Data for Implementation (Data.FI), Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

2 IntraHealth Namibia, Windhoek, Namibia

3 United States Agency for International Development Dominican Republic, Santo Domingo, Dominican Republic

4 Data for Implementation (Data.FI), Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

Corresponding Author:

  • Talia Loeb, MHS
  • Data for Implementation (Data.FI)
  • Department of Epidemiology
  • Johns Hopkins Bloomberg School of Public Health
  • 615 North Wolfe Street
  • Baltimore, MD, 21205
  • United States
  • Phone: 1 410-955-3227
  • Email: tloeb2@jh.edu