Evidence map›Paper›PMID 32145760›Full record

ArticleThe lancet. HIV2020

Ending the HIV epidemic in the USA: an economic modelling study in six cities.

Bohdan Nosyk, Xiao Zang, Emanuel Krebs, Benjamin Enns, Jeong E Min, Czarina N Behrends, Carlos Del Rio, Julia C Dombrowski, Daniel J Feaster, Matthew Golden and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in The lancet. HIV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 11% of its field
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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  6. Untangling the Web of Hepatitis C Risk in Rural Communities.Journal of general internal medicine · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 12 institutions in 2 countries.

Bohdan NosykBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada; Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada. Electronic address: bnosyk@cfenet.ubc.ca.
Xiao ZangBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada; Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Emanuel KrebsBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.
Benjamin EnnsBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.
Jeong E MinBritish Columbia Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada.
Czarina N BehrendsDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
Carlos Del RioRollins School of Public Health and Emory School of Medicine, Emory University, Atlanta, GA, USA.
Julia C DombrowskiDepartment of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, WA, USA.
Daniel J FeasterDepartment of Public Health Sciences, Leonard M Miller School of Medicine, University of Miami, Miami, FL, USA.
Matthew GoldenDepartment of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, WA, USA.
Brandon D L MarshallSchool of Public Health, Brown University, Providence, RI, USA.
Shruti H MehtaDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Lisa R MetschDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Ankur PandyaDepartment of Health Policy and Management, Harvard T H Chan School of Public Health, Boston, MA, USA.
Bruce R SchackmanDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
Steven ShoptawSchool of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Steffanie A StrathdeeSchool of Medicine, University of California San Diego, La Jolla, CA, USA.
Localized HIV Modeling Study Group
Cornell University · USUniversity of Washington · USAIDS Vancouver · CASimon Fraser University · CABrown University · USColumbia University · USEmory University · USHarvard University · USJohns Hopkins University · USUniversity of California, Los Angeles · USUniversity of California, San Diego · USUniversity of Miami · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI Ulrich Steidl · 1985 to 2026
$111.2M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sung-Jae Lee · 1997 to 2026
$53.5M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yuhua Bao · 2015 to 2026
$20.7M
Impact of Drug Policy Reform on the HIV Risk Environment among IDUs in TijuanaR37DA019829 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STRATHDEE, STEFFANIE A. · 2010 to 2019
$6.7M
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
NCI NIH HHS P30 CA013330NIDA NIH HHS P30 DA040500NIDA NIH HHS R01 DA041747NIDA NIH HHS R37 DA019829NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

backgroundThe HIV epidemic in the USA is a collection of diverse local microepidemics. We aimed to identify optimal combination implementation strategies of evidence-based interventions to reach 90% reduction of incidence in 10 years, in six US cities that comprise 24·1% of people living with HIV in the USA.

methodsIn this economic modelling study, we used a dynamic HIV transmission model calibrated with the best available evidence on epidemiological and structural conditions for six US cities: Atlanta (GA), Baltimore (MD), Los Angeles (CA), Miami (FL), New York City (NY), and Seattle (WA). We assessed 23 040 combinations of 16 evidence-based interventions (ie, HIV prevention, testing, treatment, engagement, and re-engagement) to identify combination strategies providing the greatest health benefit while remaining cost-effective. Main outcomes included averted HIV infections, quality-adjusted life-years (QALYs), total cost (in 2018 US$), and incremental cost-effectiveness ratio (ICER; from the health-care sector perspective, 3% annual discount rate). Interventions were implemented at previously documented and ideal (90% coverage or adoption) scale-up, and sustained from 2020 to 2030, with outcomes evaluated until 2040.

findingsOptimal combination strategies providing health benefit and cost-effectiveness contained between nine (Seattle) and 13 (Miami) individual interventions. If implemented at previously documented scale-up, these strategies could reduce incidence by between 30·7% (95% credible interval 19·1-43·7; Seattle) and 50·1% (41·5-58·0; New York City) by 2030, at ICERs ranging from cost-saving in Atlanta, Baltimore, and Miami, to $95 416 per QALY in Seattle. Incidence reductions reached between 39·5% (26·3-53·8) in Seattle and 83·6% (70·8-87·0) in Baltimore at ideal implementation. Total costs of implementing strategies across the cities at previously documented scale-up reached $559 million per year in 2024; however, costs were offset by long-term reductions in new infections and delayed disease progression, with Atlanta, Baltimore, and Miami projecting cost savings over the 20 year study period.

interpretationEvidence-based interventions can deliver substantial public health and economic value; however, complementary strategies to overcome social and structural barriers to HIV care will be required to reach national targets of the ending the HIV epidemic initiative by 2030.

fundingNational Institutes of Health.

Indexed as

Models, EconomicCitiesCost-Benefit AnalysisEpidemicsEvidence-Based MedicineFemaleHIV InfectionsHumansMalePublic HealthQuality-Adjusted Life YearsUnited States

Identifiers

PMID32145760
PMCPMC7338235
OpenAlexW3010173680

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.