Real-World Estimates of HIV Incidence from Sexual Health Clinic EMRs: Feasibility, Limitations, and Implications for Surveillance
EMR-based HIV incidence estimation is feasible but limited by data variability and selection bias thus incidence estimates from MT cohorts may not reflect true community incidence. Diagnoses data may be used for incidence modeling where there is sufficient sample size.
Authors
- Elizabeth S. Russell (ORCID: https://orcid.org/0000-0001-7462-9280)
- Surang Janyam
- Jason Zucker (ORCID: https://orcid.org/0000-0001-6987-6412)
- Chatsuda Auchieng
- Daniela Quigee (ORCID: https://orcid.org/0000-0003-0928-1518)
- Marina Rifkin
- Anchalee Avihingsanon (ORCID: https://orcid.org/0000-0003-3222-9611)
- Delivette Castor (ORCID: https://orcid.org/0000-0002-0988-9489)
- Pintip Jomja
- Kathleen Ridgeway (ORCID: https://orcid.org/0000-0003-0839-2830)
- Opass Putcharoen (ORCID: https://orcid.org/0000-0001-8444-8512)
- Ariana Johnson (ORCID: https://orcid.org/0000-0002-5257-7114)
- Dorian Gule
- Pai Lien Chen
- Christa Fischer Walker
- Siyamthanda Mjenxane
- Mu-Tien Lee
- Attakorn Somwaeng
- Lisa Bouwer
- Suzanne Doblecki-Lewis
Institutions
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Family Health International 360 (US)
- University of Miami (US)
- HIV Netherlands Australia Thailand Research Collaboration (TH)
- Thai Health Promotion Foundation (TH)
- Department of Health (ZA)
- Columbia University (US)
Publication Details
- Journal
- JAIDS Journal of Acquired Immune Deficiency Syndromes
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1097/qai.0000000000003824
- Primary Topic
- HIV/AIDS Research and Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00