Evidence map›Paper›PMID 40623283›Full record

ArticleAIDS (London, England)2025

On the compounding manifestations of racism shaping the US HIV/AIDS epidemic: why ending the HIV epidemic must address these factors for success.

Xiao Zang, Yi Sui, Sam Bessey, Tri Minh Van, Hansel E Tookes, Brandon D L Marshall, Bohdan Nosyk, Localized Economic Modeling (LEM) group

Abstract read
In one paragraph

Article in AIDS (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiao ZangDivision of Health Policy and Management, School of Public Health, University of Minnesota; Minneapolis, Minnesota, USA.
Yi SuiCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Sam BesseyDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Tri Minh VanCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Hansel E TookesDepartment of Medicine, University of Miami Miller School of Medicine, Miami, Florida, USA.
Brandon D L MarshallDepartment of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island.
Bohdan NosykCentre for Advancing Health Outcomes, Vancouver, British Columbia, Canada.
Localized Economic Modeling (LEM) group

Funding

Localized economic modeling to support implementation of the Ending the HIV Epidemic initiativeR01DA041747 · NIDA · SIMON FRASER UNIVERSITY · PI NOSYK, BOHDAN · 2016 to 2025
$5.5M
NIDA NIH HHS R01 DA041747
6 · The paper itself

Abstract

objectiveGrowing racial/ethnic inequities in healthcare access and racially segregated sexual mixing contribute to persistent disparities in HIV incidence in the US. We aim to examine the extent to which eliminating racial/ethnic inequities in healthcare access could reduce disparities in HIV incidence and its interaction with assortative sexual mixing.

designA mathematical model.

methodsWe used two independently developed HIV transmission models to estimate HIV incidence among Black, Hispanic/Latino, and White/Other MSM and the corresponding incidence rate ratios (IRRs) comparing Black and Hispanic/Latino to White/Other as a measure of disparity in the four "Ending the HIV Epidemic (EHE)" counties in Georgia. We compared three scenarios: status quo; equal service access across racial/ethnic groups with reported assortative sexual mixing by race/ethnicity; and equal service access with random sexual mixing. We standardized both models to enhance comparability.

resultsUnder the status quo, both models projected a reduction in overall HIV incidence but persistent racial/ethnic disparities, with an IRR as large as 8.3 between Black and White/Other MSM. Compared to the status quo, providing equal health service access resulted in a modest reduction in IRRs with reported assortative sexual mixing in 2030, but yielded a much greater reduction when sexual mixing was at random: IRR reduced by up to 38.8% and 58.3% between Black and White/Other MSM in the two models.

conclusionThis study highlights racially segregated sexual mixing as a barrier to efforts to mitigate racial/ethnic disparities in HIV incidence. Reaching EHE targets will require not only equitable healthcare access but also strategies addressing sexual racism and other structural barriers.

Indexed as

Disease Transmission, InfectiousEpidemicsHealth Status DisparitiesHIV InfectionsRacismBlack or African AmericanFemaleGeorgiaHealthcare DisparitiesHealth Services AccessibilityHumansIncidenceMaleModels, TheoreticalUnited StatesWhiteinequities in healthcare accessracial/ethnic disparities in HIV incidenceracially segregated sexual mixingsimulation modelingstructural racism

Identifiers

PMID40623283
PMCPMC12261960

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.