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Agent-Based Modeling of Noncommunicable Diseases

A Systematic Review

Bibliographic Data

ID14599633
AuthorsRoch A Nianogo (0000-0001-5932-6169, Roch 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 (0000-0002-9067-1697, Roch 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.)
Year2015
Volume105
Issue3
Pagese20-e31
Publication date2015-03-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2014.302426
PMID25602871
PMCIDPMC4330820
LanguageEN
Citations received14
References cited49

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

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Unique citing works14
Citations per year1,75
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 14

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