Evidence map›Paper›PMID 32582820›Full record

ArticleTobacco regulatory science2020

Agent-based Modeling in Tobacco Regulatory Science: Exploring 'What if' in Waterpipe Smoking.

Yong Yang, Kenneth D Ward, Ramzi G Salloum, Eric N Lindblom

Abstract read
In one paragraph

Article in Tobacco regulatory science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yong YangDivision of Social and Behavioral Science, School of Public Health, University of Memphis, Memphis, TN.
Kenneth D WardDivision of Social and Behavioral Science, School of Public Health, University of Memphis, Memphis, TN.
Ramzi G SalloumDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL.
Eric N LindblomTobacco Control and Food & Drug Law, O'Neill Institute for National & Global Health Law, Georgetown University Law Center, Washington, DC.

Funding

Translating evidence and building capacity to support waterpipe control in the Eastern MediterraneanR01TW010654 · FIC · FLORIDA INTERNATIONAL UNIVERSITY · PI ASFAR, TAGHRID, MAZIAK, WASIM · 2017 to 2021
$1.8M
Modeling the impact of flavor bans among young adult tobacco users using discrete choice experiments and agent-based modelingR03DA048460 · NIDA · UNIVERSITY OF MEMPHIS · PI YANG, YONG · 2019 to 2020
$144k
FIC NIH HHS R01 TW010654NIDA NIH HHS R03 DA048460
6 · The paper itself

Abstract

objectivesWaterpipe tobacco smoking (WTS) is an emerging public health crisis, particularly among youth and young adults. Different from the use of other tobacco products and e-cigarettes, WTS tends to be a social activity occurring among friends or persons associated with social networks. In this paper, we review a potential strategy for WTS-related research.

methodsAs a bottom-up computational model, agent-based modeling (ABM) can simulate the actions and interactions of agents, as well as the dynamic interactions between agents and their environments, to gain an understanding of the functioning of a system. ABM is particularly useful for incorporating the influence of social networks in WTS, and capturing people's space-time activity and the spatial distribution of WTS venues.

resultsComprehensive knowledge of WTS-related behaviors at the individual level is needed to take advantage of ABM and use it to examine policies such as the interaction between WTS and cigarette smoking and the effect of flavors used in waterpipe tobacco. Longitudinal and WTS-specific surveys and laboratory experiments are particularly helpful to understand WTS basic mechanisms and elicit individual preferences, respectively.

conclusionsWe argue that the uniqueness of WTS makes ABM a promising tool to be used in WTS-related research, as well as understanding use of other tobacco products.

Indexed as

agent-based modelinganalytic methodswaterpipe

Identifiers

PMID32582820
PMCPMC7314189

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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.