The application of modeling and simulation to public health: Assessing the quality of Agent-Based Models for obesity
The application of modeling and simulation to public health: Assessing the quality of Agent-Based Models for obesity
复制标题
DOI：
10.1016/j.simpat.2020.102268
复制
发表时间：
2021-01-16
影响因子：
4.2
通讯作者：
Keith, James
中科院分区：
文献类型：
--
作者：
Giabbanelli, Philippe J.;Tison, Boone;Keith, James
肥胖研究中使用的早期建模和模拟模型往往非常详细地描述体内的体重动态，或者通过将肥胖描述为一种传染病（例如，体重在同龄人之间直接“传播”）来提供对社会环境影响的非常简化的看法。 2010 年代，肥胖模拟作为一个新的跨学科研究领域出现，在健康和模拟领域发表了许多文章。跨学科团队已经开始创建综合模型，并且随着人们越来越认识到建模是公共卫生的强大工具，政策制定者越来越多地接触到应该支持其决策过程的模型。一些评论已经记录了如何将此类模型用于公共卫生或政策制定者如何参与模型构建过程。然而，尚无系统评价调查这些模型是否经过严格开发。因此，我们的目标是通过提供基于建模和仿真最佳实践的首次系统审查来解决这一差距。我们调查了 2013 年至 2019 年间开发的 32 个基于主体的模型。这项评估工作对于了解这些模型在支持公共卫生决策方面的可信程度非常重要。还需要进行评估，通过确定建模和模拟界如何满足改善基于代理的肥胖模型以促进公共卫生的特定短期和长期需求，来指导该领域的未来发展。
Early modeling and simulation models used in obesity research tended to be highly detailed on weight dynamics within the body or provided a very simplified view of socio-environmental influences by portraying obesity as a contagious disease (e.g., where weight directly 'spreads' among peers). The 2010's have witnessed the emergence of simulations for obesity as a new interdisciplinary field of research, leading to many articles in both health and simulation venues. Interdisciplinary teams have embarked on creating comprehensive models and, through the growing recognition of modeling as a powerful tool for public health, policymakers have been increasingly exposed to models that ought to support their decision-making processes. Several reviews have already documented how such models may be used in public health or how policymakers can be engaged in the model-building process. However, no systematic review has yet investigated whether the models were developed rigorously. We thus aim to address this gap by providing the first systematic review grounded in best practices for modeling and simulation. We investigate 32 Agent-Based Models developed between 2013 and 2019. This assessment effort is important to understand the extent to which these models can be trusted to support public health decisions. An assessment is also necessary to guide future developments in the field by identifying how the modeling and simulation community can address specific short-and long-term needs in improving Agent-Based Models of obesity for public health.