Evidence map›Paper›PMID 25602871›Full record

SynthesisAmerican journal of public health2015

Agent-based modeling of noncommunicable diseases: a systematic review.

Roch A Nianogo, Onyebuchi A Arah

Abstract readSystematic Review
In one paragraph

Synthesis in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Complex Systems Approaches to Diet: A Systematic Review.American journal of preventive medicine · 2019
    Pooled it
  3. Pooled it
  4. Article
  5. Simulated retail food environments: A literature review of systems science approaches to advance equity in access to healthy diets.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Applications of agent-based modeling in trauma research.Psychological trauma : theory, research, practice and policy · 2023
    Article
  12. Understanding the Impact of Social Networks on the Spread of Obesity.International journal of environmental research and public health · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  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

2 authors.

Roch A NianogoRoch A. Nianogo and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA). Onyebuchi A. Arah is also with the Center for Health Policy Research, UCLA, and the California Center for Population Research, UCLA, as well as the Academic Medical Center, University of Amsterdam, The Netherlands.
Onyebuchi A Arah

Funding

The impact of natural experiments on child obesity: A systems science approachR01HD072296 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PRELIP, MICHAEL LEE, WANG, MAY C · 2013 to 2017
$2.4M
NICHD NIH HHS 1R01HD072296-01A1NICHD NIH HHS R01 HD072296
6 · The paper itself

Abstract

We reviewed the use of agent-based modeling (ABM), a systems science method, in understanding noncommunicable diseases (NCDs) and their public health risk factors. We systematically reviewed studies in PubMed, ScienceDirect, and Web of Sciences published from January 2003 to July 2014. We retrieved 22 relevant articles; each had an observational or interventional design. Physical activity and diet were the most-studied outcomes. Often, single agent types were modeled, and the environment was usually irrelevant to the studied outcome. Predictive validation and sensitivity analyses were most used to validate models. Although increasingly used to study NCDs, ABM remains underutilized and, where used, is suboptimally reported in public health studies. Its use in studying NCDs will benefit from clarified best practices and improved rigor to establish its usefulness and facilitate replication, interpretation, and application.

Indexed as

Chronic DiseaseEpidemiologic MethodsEvidence-Based MedicineModels, TheoreticalDatabases, BibliographicHumansMotor ActivityRisk Factors

Identifiers

PMID25602871
PMCPMC4330820

What OpenQuestion 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 OpenQuestion graph.