Brief Report: Interruptions in HIV Prevention and Treatment During the COVID-19 Pandemic: A Cross-Sectional Study of Transgender and Gender Nonbinary Adults in the United States.

BACKGROUND: Transgender and gender nonbinary (TNB) people have been disproportionately affected by HIV and the COVID-19 pandemic. This study explored the prevalence of HIV prevention and treatment (HPT) interruptions during the pandemic and identified factors associated with these interruptions. SETTING: Data were drawn from LITE Connect, a US-based, nationwide, online, self-administered survey designed to examine the experiences of TNB adults during the COVID-19 pandemic. A convenience sample of 2134 participants were recruited between June 14, 2021, and May 1, 2022. METHODS: The analytic sample was restricted to participants taking antiretroviral medications to prevent or treat HIV before the onset of the pandemic (n = 153). We calculated descriptive statistics as well as Pearson χ 2 bivariate tests and multivariable models to identify factors associated with HPT interruptions during the pandemic. RESULTS: Thirty-nine percent of participants experienced an HPT interruption. We found a lower odds of HPT interruptions among participants living with HIV [adjusted odds ratios (aOR) 0.45; 95% Confidence Intervals (CI): 0.22, 0.92; P = 0.02] and essential workers [aOR 0.49; 95% CI: 0.23, 1.0; P = 0.06] and higher odds among people with chronic mental health conditions [aOR 2.6; 95% CI: 1.1, 6.2; P = 0.03]. When sex and education were included, we found a lower odds of interruptions among people with higher education. CI widened, but the magnitude and direction of effects did not change for the other variables. CONCLUSIONS: Focused strategies to address longstanding psychosocial and structural inequities are needed to mitigate HPT treatment interruptions in TNB people and prevent similar challenges during future pandemics.

Comparison of infection control strategies to reduce COVID-19 outbreaks in homeless shelters in the United States: a simulation study.

BACKGROUND: COVID-19 outbreaks have occurred in homeless shelters across the US, highlighting an urgent need to identify the most effective infection control strategy to prevent future outbreaks. METHODS: We developed a microsimulation model of SARS-CoV-2 transmission in a homeless shelter and calibrated it to data from cross-sectional polymerase chain reaction (PCR) surveys conducted during COVID-19 outbreaks in five homeless shelters in three US cities from March 28 to April 10, 2020. We estimated the probability of averting a COVID-19 outbreak when an exposed individual is introduced into a representative homeless shelter of 250 residents and 50 staff over 30 days under different infection control strategies, including daily symptom-based screening, twice-weekly PCR testing, and universal mask wearing. RESULTS: The proportion of PCR-positive residents and staff at the shelters with observed outbreaks ranged from 2.6 to 51.6%, which translated to the basic reproduction number (R0) estimates of 2.9-6.2. With moderate community incidence (~ 30 confirmed cases/1,000,000 people/day), the estimated probabilities of averting an outbreak in a low-risk (R0 = 1.5), moderate-risk (R0 = 2.9), and high-risk (R0 = 6.2) shelter were respectively 0.35, 0.13, and 0.04 for daily symptom-based screening; 0.53, 0.20, and 0.09 for twice-weekly PCR testing; 0.62, 0.27, and 0.08 for universal masking; and 0.74, 0.42, and 0.19 for these strategies in combination. The probability of averting an outbreak diminished with higher transmissibility (R0) within the simulated shelter and increasing incidence in the local community. CONCLUSIONS: In high-risk homeless shelter environments and locations with high community incidence of COVID-19, even intensive infection control strategies (incorporating daily symptom screening, frequent PCR testing, and universal mask wearing) are unlikely to prevent outbreaks, suggesting a need for non-congregate housing arrangements for people experiencing homelessness. In lower-risk environments, combined interventions should be employed to reduce outbreak risk.