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

Descriptive Epidemiology and Population Size Estimates (235) Public (e)Health, Digital Epidemiology and Public Health Informatics (2339) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (992) Public Health Informatics (566) HIV/AIDS/STI Prevention and Care (1298) LGBTQ Issues (617) Development and Evaluation of Research Methods, Instruments and Tools (1379) Innovative Methods in Public Health and Surveillance (519) Data Science (719)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48963, first published .
Natural rock arch and boulders in Spitzkoppe, Namibia, under a blue sky.

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 (3) Tweetations (2) Metrics

Journals

  1. Rucinski K, Knight J, Willis K, Wang L, Rao A, Roach M, Phaswana-Mafuya R, Bao L, Thiam S, Arimi P, Mishra S, Baral S. Challenges and Opportunities in Big Data Science to Address Health Inequities and Focus the HIV Response. Current HIV/AIDS Reports 2024;21(4):208 View
  2. Scheibe A, Teixeira A, Aliu Djaló M, Pereira M, Barreto K, Ba I, Bird L, Eligh J. Drug use patterns and health problems among people who use drugs in Guinea-Bissau (2022): A cross-sectional survey using respondent-driven sampling. International Journal of Drug Policy 2024;134:104648 View
  3. Reed D, Stingone J, Keyes K, Gobaud A, Gutkind S, Seekaew P, Haley D, Justman J. The Use of Data Integration Approaches in Combining Heterogeneous, Multi-level Data Sources for HIV Research: A Scoping Review. Current Epidemiology Reports 2026;13(1) View