Background: Understanding geographic patterns of HIV transmission is critical to designing effective interventions. We characterized geographic proximity by transmission risk and urban–rural characteristics among people with closely related HIV strains suggestive of potential transmission relationships. Methods: We analyzed US National HIV Surveillance System data of people diagnosed between 2010 and 2016 with a reported HIV-1 partial polymerase nucleotide sequence. We used HIV TRAnsmission Cluster Engine (HIV-TRACE) to identify sequences linked at a genetic distance of ≤0.5%. For each linked person, we assessed median distances between counties of residence at diagnosis by transmission category and urban–rural classification, weighting observations to account for persons with multiple linked sequences. Results: There were 24,743 persons with viral sequence linkages to at least one other person included in this analysis. Overall, half (50.9%) of persons with linked viral sequences resided in different counties, and the median distance from persons with linked viruses was 11 km/7 miles [interquartile range (IQR), 0–145 km/90 miles]. Median distances were highest for men who have sex with men (MSM: 14 km/9 miles; IQR, 0–179 km/111 miles) and MSM who inject drugs, and median distances increased with increasing rurality (large central metro: 0 km/miles; IQR, 0–83 km/52 miles; nonmetro: 103 km/64 miles; IQR, 40 km/25 miles–316 km/196 miles). Conclusion: Transmission networks in the United States involving MSM, MSM who inject drugs, or persons living in small metro and nonmetro counties may be more geographically dispersed, highlighting the importance of coordinated health department efforts for comprehensive follow-up and linkage to care.
Increasing HIV testing, preexposure prophylaxis (PrEP), and antiretroviral therapy (ART) are pillars of the federal Ending the HIV Epidemic in the U.S. (EHE) initiative, with a goal of decreasing new HIV infections by 90% by 2030.* In response to the COVID-19 pandemic, a national emergency was declared in the United States on March 13, 2020, resulting in the closure of nonessential businesses and most nonemergency health care venues; stay-at-home orders also limited movement within communities (1). As unemployment increased during the pandemic (2), many persons lost employer-sponsored health insurance (3). HIV testing and PrEP prescriptions declined early in the COVID-19 pandemic (4-6); however, the full impact of the pandemic on use of HIV prevention and care services and HIV outcomes is not known. To assess changes in these measures during 2019-2021, quarterly data from two large U.S. commercial laboratories, the IQVIA Real World Data -Longitudinal Prescription Database (IQVIA), † and the National HIV Surveillance System (NHSS) § were analyzed. During quarter 1 (Q1) ¶ 2020, a total of 2,471,614 HIV tests were performed, 190,955 persons were prescribed PrEP, and 8,438 persons received a diagnosis of HIV infection. Decreases were observed during quarter 2 (Q2), with 1,682,578 HIV tests performed (32% decrease), 179,280 persons prescribed PrEP (6% decrease), and 6,228 persons receiving an HIV diagnosis (26% decrease). Partial rebounds were observed during quarter 3 (Q3), with 2,325,554 HIV tests performed, 184,320 persons prescribed * https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overview † https://www.iqvia.com/locations/belgium/librar y/fact-sheets/ real-world-longitudinal-prescription-data § The study period for analyses using NHSS
BackgroundHIV disproportionately affects black men in the United States: most diagnoses are for black gay, bisexual, and other men who have sex with men (collectively referred to as MSM). A better understanding of the social conditions in which black men live and work may better explain why HIV incidence and diagnosis rates are higher than expected in this population.MethodsUsing data from the National HIV Surveillance System and the US Census Bureau's American Community Survey, we examined the relationships of HIV diagnosis rates and 5 census tract–level social determinants of health variables for 21,948 black MSM and non-MSM aged ≥15 years residing in 17 areas in the United States. We examined federal poverty status, marital status, education level, employment status, and vacancy status and computed rate ratios (RRs) and prevalence odds ratios (PORs), using logistic regression with zero-inflated negative binomial modeling.ResultsAmong black MSM, HIV diagnosis rates decreased as poverty increased (RR: 0.54). At the time of HIV diagnosis, black MSM were less likely than black non-MSM to live in census tracts with a higher proportion below the poverty level (POR: 0.81) and with a higher proportion of vacant houses (POR: 0.86). In comparison, housing vacancy was positively associated with HIV diagnosis rates among black non-MSM (RR: 1.65). HIV diagnosis rates were higher for black MSM (RR: 2.75) and non-MSM (RR: 4.90) whose educational level was low. Rates were significantly lower for black MSM (RR: 0.06) and non-MSM (RR: 0.26) as the proportion unemployed and the proportion married increased.ConclusionsThis exploratory study found differences in the patterns of HIV diagnosis rates for black MSM and non-MSM and provides insight into the transmission of HIV infection in areas that reflect substantial disadvantage in education, housing, employment, and income.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.