The Potential Epidemiological Impact of Coronavirus Disease 2019 (COVID-19) on the Human Immunodeficiency Virus (HIV) Epidemic and the Cost-effectiveness of Linked, Opt-out HIV Testing: A Modeling Study in 6 US Cities

Author:

Zang Xiao1,Krebs Emanuel2,Chen Siyuan3,Piske Micah2,Armstrong Wendy S4,Behrends Czarina N5,Del Rio Carlos4,Feaster Daniel J6,Marshall Brandon D L1,Mehta Shruti H7,Mermin Jonathan8,Metsch Lisa R9,Schackman Bruce R5ORCID,Strathdee Steffanie A10,Nosyk Bohdan23,Dombrowski Julia C,Gebo Kelly A,Kirk Gregory,Montaner Julio,Pandya Ankur,Shoptaw Steven,

Affiliation:

1. Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA

2. British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada

3. Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada

4. Division of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA

5. Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York, USA

6. Department of Public Health Sciences, Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, USA

7. Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA

8. National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

9. Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA

10. School of Medicine, University of California San Diego, La Jolla, California, USA

Abstract

Abstract Background Widespread viral and serological testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may present a unique opportunity to also test for human immunodeficiency virus (HIV) infection. We estimated the potential impact of adding linked, opt-out HIV testing alongside SARS-CoV-2 testing on the HIV incidence and the cost-effectiveness of this strategy in 6 US cities. Methods Using a previously calibrated dynamic HIV transmission model, we constructed 3 sets of scenarios for each city: (1) sustained current levels of HIV-related treatment and prevention services (status quo); (2) temporary disruptions in health services and changes in sexual and injection risk behaviors at discrete levels between 0%–50%; and (3) linked HIV and SARS-CoV-2 testing offered to 10%–90% of the adult population in addition to Scenario 2. We estimated the cumulative number of HIV infections between 2020–2025 and the incremental cost-effectiveness ratios of linked HIV testing over 20 years. Results In the absence of linked, opt-out HIV testing, we estimated a total of a 16.5% decrease in HIV infections between 2020–2025 in the best-case scenario (50% reduction in risk behaviors and no service disruptions), and a 9.0% increase in the worst-case scenario (no behavioral change and 50% reduction in service access). We estimated that HIV testing (offered at 10%–90% levels) could avert a total of 576–7225 (1.6%–17.2%) new infections. The intervention would require an initial investment of $20.6M–$220.7M across cities; however, the intervention would ultimately result in savings in health-care costs in each city. Conclusions A campaign in which HIV testing is linked with SARS-CoV-2 testing could substantially reduce the HIV incidence and reduce direct and indirect health care costs attributable to HIV.

Funder

National Institutes of Health, National Institutes on Drug Abuse

Centers of Disease Control and Prevention

Pew Charitable Trust

Centers for Medicare and Medicaid Services

New York City Department of Health and Mental Hygiene

National Institute on Drug Abuse

National Institutes of Health

Arnold Ventures

Cigna Foundation

Gilead Sciences

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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