ArticleAmerican journal of epidemiology2019
Limiting Alcohol Outlet Density to Prevent Alcohol Use and Violence: Estimating Policy Interventions Through Agent-Based Modeling.
Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- A systematic review of operational research modelling for alcohol consumption and its consequences.Health systems (Basingstoke, England) · 2026Review
- Improving health and housing outcomes through a simulation and economic model: an evidence-based protocol of a group model building approach to develop an agent-based model.Frontiers in public health · 2025Article
- Assessing Links Between Alcohol Exposure and Firearm Violence: A Scoping Review Update.Alcohol research : current reviews · 2025Article
- Spatial Analysis of the Alcohol, Intimate Partner Violence, and HIV Syndemic Among Women in South Africa.AIDS and behavior · 2023Article
- Can Social Norms Explain Long-Term Trends in Alcohol Use? Insights from Inverse Generative Social Science.Journal of artificial societies and social simulation : JASSS · 2023Article
- Systems Thinking and Complexity Science Methods and the Policy Process in Non-communicable Disease Prevention: A Systematic Scoping Review.International journal of health policy and management · 2023Article
- Agent-Based Modeling: an Underutilized Tool in Community Violence Research.Current epidemiology reports · 2022Review
- Understanding Neighborhoods' Impact on Youth Substance Use and Mental Health Outcomes in Paterson, New Jersey: Protocol for a Community-Based Participatory Research Study.JMIR research protocols · 2021Article
- Place management in off-premise alcohol outlets: Results of a multi-methods study in a six-city California area.The International journal on drug policy · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 2 countries.
Funding
Abstract
Increasing alcohol outlet density is well-documented to be associated with increased alcohol use and problems, leading to the policy recommendation that limiting outlet density will decrease alcohol problems. Yet few studies of decreasing problematic outlets and outlet density have been conducted. We estimated the association between closing alcohol outlets and alcohol use and alcohol-related violence, using an agent-based model of the adult population in New York City. The model was calibrated according to the empirical distribution of the parameters across the city's population, including the density of on- and off-premise alcohol outlets. Interventions capped the alcohol outlet distribution at the 90th to the 50th percentiles of the New York City density, and closed 5% to 25% of outlets with the highest levels of violence. Capping density led to a lower population of light drinkers (42.2% at baseline vs. 38.1% at the 50th percentile), while heavy drinking increased slightly (12.0% at baseline vs. 12.5% at the 50th percentile). Alcohol-related homicides and nonfatal violence remained unchanged. Closing the most violent outlets was not associated with changes in alcohol use or related problems. Results suggest that focusing solely on closing alcohol outlets might not be an effective strategy to reduce alcohol-related problems.
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Registered trials
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.