ReviewComputational and mathematical methods in medicine2017
Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations.
Review in Computational and mathematical methods in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 37 citations in OpenAlex.
- The PHEM-B toolbox of methods for incorporating the influences on Behaviour into Public Health Economic Models.BMC public health · 2024Article
- The long-term effectiveness and cost-effectiveness of public health interventions; how can we model behavior? A review.Health economics · 2023Review
- DESIGN AND DEPLOYMENT OF A SIMULATION PLATFORM: CASE STUDY OF AN AGENT-BASED MODEL FOR YOUTH SUICIDE PREVENTION.Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference · 2022Article
- Toward Systems Models for Obesity Prevention: A Big Role for Big Data.Current developments in nutrition · 2022Article
- Applications of Complex Systems Models to Improve Retail Food Environments for Population Health: A Scoping Review.Advances in nutrition (Bethesda, Md.) · 2022Article
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- Optimization of Agent-Based Models Through Coarse-Graining: A Case Study in Microbial Ecology.Letters in biomathematics · 2021Article
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- Dynamic Empirically Based Model for Understanding Future Trends in US Obesity Prevalence in the Context of Social Influences.Obesity (Silver Spring, Md.) · 2019Article
- Evaluating the Impact of Improving Access on Consumption of Fruits and Vegetables in a Rural Community in Texas: A Modeling Study.Health equity · 2019Article
- Capturing the fast-food landscape in England using large-scale network analysis.EPJ data science · 2018Article
- Channeling Patient Flow in China: An Agent-Based Model of Insurance Reimbursement and Hierarchical Care.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most adults are overweight or obese in many western countries. Several population-level interventions on the physical, economical, political, or sociocultural environment have thus attempted to achieve a healthier weight. These interventions have involved different weight-related behaviours, such as food behaviours. Agent-based models (ABMs) have the potential to help policymakers evaluate food behaviour interventions from a systems perspective. However, fully realizing this potential involves a complex procedure starting with obtaining and analyzing data to populate the model and eventually identifying more efficient cross-sectoral policies. Current procedures for ABMs of food behaviours are mostly rooted in one technique, often ignore the food environment beyond home and work, and underutilize rich datasets. In this paper, we address some of these limitations to better support policymakers through two contributions. First, via a scoping review, we highlight readily available datasets and techniques to deal with these limitations independently. Second, we propose a three steps' process to tackle all limitations together and discuss its use to develop future models for food behaviours. We acknowledge that this integrated process is a leap forward in ABMs. However, this long-term objective is well-worth addressing as it can generate robust findings to effectively inform the design of food behaviour interventions.
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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.