Evidence map›Paper›PMID 42292767›Full record

ArticleOpen forum infectious diseases2026

Modeling Highlights the Challenge of Achieving and Maintaining Hepatitis C Virus Micro-Elimination Among People Who Inject Drugs.

Eric Tatara, Louis Shekhtman, Nicholson Collier, Scott J Cotler, Mary Ellen Mackesy-Amiti, Basmattee Boodram, Harel Dahari, Marian Major, Jonathan Ozik

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Eric TataraConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-7927-4255
Louis ShekhtmanProgram for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
Nicholson CollierConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-2376-4156
Scott J CotlerProgram for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
Mary Ellen Mackesy-AmitiDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-7238-5240
Basmattee BoodramDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-3686-8894
Harel DahariProgram for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Chicago, Maywood, Illinois, USA.ORCID https://orcid.org/0000-0002-3357-1817
Marian MajorDivision of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA.ORCID https://orcid.org/0000-0003-0874-359X
Jonathan OzikConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-3495-6735

Funding

Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR01AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2011 to 2025
$7.5M
Computational modeling for HCV vaccine trial design and optimal vaccine-based combination interventionsR01AI158666 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI Basmattee Boodram, Harel Dahari · 2022 to 2026
$3.5M
NIAID NIH HHS R01 AI078881NIAID NIH HHS R01 AI158666
6 · The paper itself

Abstract

Background: People who inject drugs (PWIDs) are at high risk for acquiring and transmitting hepatitis C virus (HCV). Direct-acting antiviral (DAA) therapy leads to high cure rates. However, lack of protective immunity after cure and high re-infection rates in PWID necessitates access to multiple DAA treatments per PWID to reach the World Health Organization HCV elimination goal of 90% incidence reduction. A major public health challenge is determining the proportion of PWID to treat to reach the goal and the continued treatment levels required to maintain decreased incidence. Method: We used an agent-based model to study varying levels of DAA treatment among HCV-infected PWID from Chicago, IL, and the effects of reducing DAA treatment after elimination is reached. The model uses individual temporal viral load profiles to determine transmission probabilities relative to the HCV RNA titers of receptive syringe-sharing PWID. Results: Modeling predicts that insufficient DAA treatment can result in a continuous increase of HCV incidence over a 25-year period, with no significant decrease. Elimination can be achieved within 10 years with sufficient treatment levels. However, when DAA treatment is stopped, rates of new chronic HCV infections rapidly increase, returning to preelimination levels within 5 years. Annual treatment of ≥0.5% would maintain the elimination goal, but identifying and treating small numbers of infected people annually in PWID populations would be resource intensive. Conclusions: The challenge to achieve and maintain the elimination goal underscores the importance of augmenting DAA treatment with intervention strategies such as syringe service programs and vaccines.

Indexed as

direct-acting antiviralshepatitis C virusmathematical modelingtreatment

Identifiers

PMID42292767
PMCPMC13262533

What Socratic holds

Textmetadata
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 Socratic graph.