Evidence map›Paper›PMID 35865008›Full record

ArticleIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum2021

Application of Distributed Agent-based Modeling to Investigate Opioid Use Outcomes in Justice Involved Populations.

Eric Tatara, John Schneider, Madeline Quasebarth, Nicholson Collier, Harold Pollack, Basmattee Boodram, Sam Friedman, Elizabeth Salisbury-Afshar, Mary Ellen Mackesy-Amiti, Jonathan Ozik

Abstract read
In one paragraph

Article in IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum : [proceedings]. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Eric TataraDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.
John SchneiderDepartments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL, USA.
Madeline QuasebarthDepartments of Medicine and Public Health Sciences, University of Chicago, Chicago, IL, USA.
Nicholson CollierDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.
Harold PollackCrown School of Social Work Policy and Practice, University of Chicago, Chicago, IL, USA.
Basmattee BoodramDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA.
Sam FriedmanDepartment of Population Health, New York University Langone Medical School, New York, NY, USA.
Elizabeth Salisbury-AfsharDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Mary Ellen Mackesy-AmitiDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA.
Jonathan OzikDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, IL, USA.

Funding

Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
NIDA NIH HHS U2C DA050098
6 · The paper itself

Abstract

Criminal justice involved (CJI) individuals with a history of opioid use disorder (OUD) are at high risk of overdose and death in the weeks following release from jail. We developed the Justice-Community Circulation Model (JCCM) to investigate OUD/CJI dynamics post-release and the effects of interventions on overdose deaths. The JCCM uses a synthetic agent-based model population of approximately 150,000 unique individuals that is generated using demographic information collected from multiple Chicago-area studies and data sets. We use a high-performance computing (HPC) workflow to implement a sequential approximate Bayesian computation algorithm for calibrating the JCCM. The calibration results in the simulated joint posterior distribution of the JCCM input parameters. The calibrated model is used to investigate the effects of a naloxone intervention for a mass jail release. The simulation results show the degree to which a targeted intervention focusing on recently released jail inmates can help reduce the risk of death from opioid overdose.

Indexed as

agent-based modelingBayesian calibrationhigh-performance computingHPC workflow

Identifiers

PMID35865008
PMCPMC9297575

What OpenQuestion holds

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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.