학술논문

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
Document Type
article
Source
Clinical Infectious Diseases. 72(11)
Subject
Medical Microbiology
Biomedical and Clinical Sciences
Clinical Sciences
Prevention
Infectious Diseases
Lung
Pediatric
Pediatric AIDS
Health Services
Emerging Infectious Diseases
Clinical Research
HIV/AIDS
Infection
Good Health and Well Being
Adult
COVID-19
COVID-19 Testing
Cities
Cost-Benefit Analysis
Epidemics
HIV
HIV Infections
Humans
SARS-CoV-2
linked opt-out HIV testing
cost-effectiveness
dynamic HIV transmission model
Localized HIV Modeling Study
Biological Sciences
Medical and Health Sciences
Microbiology
Clinical sciences
Language
Abstract
BackgroundWidespread 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.MethodsUsing 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.ResultsIn 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.ConclusionsA 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.