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

Population and Public Health Informatics (104) HIV/AIDS/STI Prevention and Care (858) Public (e)Health, Digital Epidemiology and Public Health Informatics (697) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (816) Electronic Health Records (1031) Immunoinformatics and Pathology informatics (10) Tools, Programs and Algorithms (258)

Published on in Vol 16 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58058, first published .
Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Inferring Population HIV Viral Load From a Single HIV Clinic’s Electronic Health Record: Simulation Study With a Real-World Example

Authors of this article:

Neal D Goldstein1 Author Orcid Image ;   Justin Jones1 Author Orcid Image ;   Deborah Kahal2 Author Orcid Image ;   Igor Burstyn1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Neal D Goldstein   1 , MBI, PhD ;   Justin Jones   1 , MPH ;   Deborah Kahal   2 , MD, MPH ;   Igor Burstyn   1 , PhD

1 Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States

2 AIDS Care Group, Sharon Hill, PA, United States

Corresponding Author:

  • Neal D Goldstein, MBI, PhD
  • Department of Epidemiology and Biostatistics
  • Dornsife School of Public Health
  • Drexel University
  • 3215 Market St.
  • Philadelphia, PA, 19104
  • United States
  • Phone: 1 267-359-6207
  • Email: ng338@drexel.edu