Evidence map›Paper›PMID 26421722›Full record

ArticlePloS one2015

Agent-Based Model Forecasts Aging of the Population of People Who Inject Drugs in Metropolitan Chicago and Changing Prevalence of Hepatitis C Infections.

Alexander Gutfraind, Basmattee Boodram, Nikhil Prachand, Atesmachew Hailegiorgis, Harel Dahari, Marian E Major

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Application of Distributed Agent-based Modeling to Investigate Opioid Use Outcomes in Justice Involved Populations.IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2021
    Article
  15. Review
  16. Article
  17. MULTI-OBJECTIVE MODEL EXPLORATION OF HEPATITIS C ELIMINATION IN AN AGENT-BASED MODEL OF PEOPLE WHO INJECT DRUGS.Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference · 2019
    Article
  18. Article
  19. Article
  20. Article
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

6 authors at 5 institutions in 1 country.

Alexander GutfraindDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America; The Program for Experimental & Theoretical Modeling, Department of Medicine, Loyola University Medical Center, Maywood, Illinois, United States of America; Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America.
Basmattee BoodramDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Nikhil PrachandSTI/HIV Surveillance, Chicago Department of Public Health, Chicago, Illinois, United States of America.
Atesmachew HailegiorgisDepartment of Computational Social Science, George Mason University, Fairfax, Virginia, United States of America.
Harel DahariThe Program for Experimental & Theoretical Modeling, Department of Medicine, Loyola University Medical Center, Maywood, Illinois, United States of America; Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Marian E MajorCenter for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America.
Center for Biologics Evaluation and Research · USChicago Department of Public Health · USGeorge Mason University · USLos Alamos National Laboratory · USUniversity of Illinois Chicago · US

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
Pilot Project ProgramP30GM110907 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2014 to 2018
$5.4M
COBRE Center for Evolutionary and Theoretical ImmunologyP20GM103452 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2012 to 2013
$4.2M
Intramural NIH HHSNIAID NIH HHS R01 AI078881NIAID NIH HHS R01-AI078881NIGMS NIH HHS P20 GM103452NIGMS NIH HHS P20-GM103452NIGMS NIH HHS P30 GM110907
6 · The paper itself

Abstract

People who inject drugs (PWID) are at high risk for blood-borne pathogens transmitted during the sharing of contaminated injection equipment, particularly hepatitis C virus (HCV). HCV prevalence is influenced by a complex interplay of drug-use behaviors, social networks, and geography, as well as the availability of interventions, such as needle exchange programs. To adequately address this complexity in HCV epidemic forecasting, we have developed a computational model, the Agent-based Pathogen Kinetics model (APK). APK simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection. We used multiple empirical data sources on Chicago PWID to build a spatial distribution of an in silico PWID population and modeled networks among the PWID by considering the geography of the city and its suburbs. APK was validated against 2012 empirical data (the latest available) and shown to agree with network and epidemiological surveys to within 1%. For the period 2010-2020, APK forecasts a decline in HCV prevalence of 0.8% per year from 44(± 2)% to 36(± 5)%, although some sub-populations would continue to have relatively high prevalence, including Non-Hispanic Blacks, 48(± 5)%. The rate of decline will be lowest in Non-Hispanic Whites and we find, in a reversal of historical trends, that incidence among non-Hispanic Whites would exceed incidence among Non-Hispanic Blacks (0.66 per 100 per years vs 0.17 per 100 person years). APK also forecasts an increase in PWID mean age from 35(± 1) to 40(± 2) with a corresponding increase from 59(± 2)% to 80(± 6)% in the proportion of the population >30 years old. Our studies highlight the importance of analyzing subpopulations in disease predictions, the utility of computer simulation for analyzing demographic and health trends among PWID and serve as a tool for guiding intervention and prevention strategies in Chicago, and other major cities.

Indexed as

Computer SimulationAdolescentAdultBlood-Borne PathogensChicagoDatasets as TopicFemaleHepatitis CHumansMaleNeedle-Exchange ProgramsPopulation DynamicsPopulation ForecastPopulation SurveillancePrevalenceSubstance Abuse, Intravenous

Identifiers

PMID26421722
PMCPMC4589282
OpenAlexW2224728505

What OpenQuestion holds

Textmetadata
LicenceCC0
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.