Evidence map›Paper›PMID 34543589›Full record

ArticleAnnals of internal medicine2021

What Will It Take to End HIV in the United States? : A Comprehensive, Local-Level Modeling Study.

Anthony Todd Fojo, Melissa Schnure, Parastu Kasaie, David W Dowdy, Maunank Shah

Abstract readVideo-Audio Media
In one paragraph

Article in Annals of internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  6. The Potential Effect of Ending Centers for Disease Control and Prevention Funding for HIV Tests: A Modeling Study in 18 States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  7. Article
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  9. Article
  10. Article
  11. The Future of HIV: Challenges in meeting the 2030medRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
  13. Review
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  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Anthony Todd FojoJohns Hopkins University School of Medicine, Baltimore, Maryland (A.T.F., M.S.).ORCID 0000-0002-9101-7910
Melissa SchnureJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (M.S., P.K., D.W.D.).ORCID 0000-0003-2745-3715
Parastu KasaieJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (M.S., P.K., D.W.D.).ORCID 0000-0002-3744-9501
David W DowdyJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (M.S., P.K., D.W.D.).ORCID 0000-0003-0481-7475
Maunank ShahJohns Hopkins University School of Medicine, Baltimore, Maryland (A.T.F., M.S.).ORCID 0000-0002-0979-2388

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Ending the HIV Epidemic in Rural America (EHE-RA): Local Interventions, Co-Epidemics, and Social DeterminantsR01MD018539 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI Anthony Todd Fojo · 2022 to 2026
$4.0M
Optimizing outcomes at the intersection of HIV and mental health: Prediction, precision medicine, and population healthK08MH118094 · NIMH · JOHNS HOPKINS UNIVERSITY · PI FOJO, ANTHONY TODD · 2018 to 2022
$953k
Projecting the Epidemiologic and Economic Impact of HIV Prevention Efforts in the Context of Other Sexually Transmitted InfectionsK01AI138853 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KASAIE, PARASTU · 2019 to 2023
$591k
NHLBI NIH HHS T32 HL007024NIAID NIH HHS K01 AI138853NIAID NIH HHS P30 AI094189NIMHD NIH HHS R01 MD018539NIMH NIH HHS K08 MH118094
6 · The paper itself

Abstract

backgroundThe Ending the HIV Epidemic (EHE) initiative aims to reduce incident HIV infections by 90% over a span of 10 years. The intensity of interventions needed to achieve this for local epidemics is unclear.

objectiveTo estimate the effect of HIV interventions at the city level.

designA compartmental model of city-level HIV transmission stratified by age, race, sex, and HIV risk factor was developed and calibrated.

setting32 priority metropolitan statistical areas (MSAs). PATIENTS: Simulated populations in each MSA.

interventionCombinations of HIV testing and preexposure prophylaxis (PrEP) coverage among those at risk for HIV, plus viral suppression in persons with diagnosed HIV infection. MEASUREMENTS: The primary outcome was the projected reduction in incident cases from 2020 to 2030.

resultsAbsent intervention, HIV incidence was projected to decrease by 19% across all 32 MSAs. Modest increases in testing (1.25-fold per year), PrEP coverage (5 percentage points), and viral suppression (10 percentage points) across the population could achieve reductions of 34% to 67% by 2030. Twenty-five percent PrEP coverage, testing twice a year on average, and 90% viral suppression among young Black and Hispanic men who have sex with men (MSM) achieved similar reductions (13% to 68%). Including all MSM and persons who inject drugs could reduce incidence by 48% to 90%. Thirteen of 32 MSAs could achieve greater than 90% reductions in HIV incidence with large-scale interventions that include heterosexuals. A web application with location-specific results is publicly available (www.jheem.org). LIMITATION: The COVID-19 pandemic was not represented.

conclusionLarge reductions in HIV incidence are achievable with substantial investment, but the EHE goals will be difficult to achieve in most locations. An interactive model that can help policymakers maximize the effect in their local environments is presented. PRIMARY FUNDING SOURCE: National Institutes of Health.

Indexed as

Models, TheoreticalAnti-HIV AgentsCommunicable Disease ControlHIV InfectionsHumansIncidenceMass ScreeningPre-Exposure ProphylaxisUnited StatesAnti-HIV Agents

Identifiers

PMID34543589
PMCPMC8595759

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.