Project 3: Tobacco Town Policy Modeling

项目3：烟草小镇政策建模

• 批准号: 10251880
• 负责人: KURT M. RIBISL
• 金额: $ 47.15万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10251880
• 关键词: Accounting; Address; Area; Behavior; Characteristics; Communities; Complex; Computer Models; Consumption; Country; Data; Development; Disease; Effectiveness; Environment; Environmental Risk Factor; Evaluation; Evidence based intervention; Funding; Future; Geographic Distribution; Geography; Goals; Individual; Industry; Intervention; Laboratories; Licensing; Low income; Marketing; Mechanics; Modeling; Neighborhoods; Pattern; Persons; Pilot Projects; Police; Policies; Policy Research; Population; Price; Public Health; Research Project Grants; Schools; Science; Science Policy; Shapes; Smoking; Study models; Time; Tobacco; Tobacco Industry; Tobacco use; Transportation; Urban Community; Vulnerable Populations; base; cost; density; design; disparity elimination; economic disparity; ethnic minority population; evidence base; experience; experimental study; health disparity; innovation; interest; models and simulation; multiple data sources; preventable death; programs; prospective; public health relevance; public policy on tobacco; racial and ethnic; racial disparity; reduce tobacco use; response; sexual minority; smoking cessation; smoking initiation; social; socioeconomic disparity; suburb; tobacco advertising; tobacco control; tobacco flavor; tobacco products; tobacco regulation; tobacco user; tool

Project 3 Tobacco Town: Project Summary/Abstract Tobacco use continues to be the greatest cause of preventable death and disease in the US, and socioeconomic disparities persist in many communities and populations. New and innovative tobacco control interventions focused on the retail environment are gaining ground, and aim to reduce the pervasiveness of tobacco products and eliminate disparities, chiefly through one of three mechanisms: place (e.g., lowering tobacco retailer density), price (e.g., curbing discounts), or product availability (e.g., limiting flavored tobacco products). However, the evidence supporting the effectiveness of these strategies is just emerging. Developing a strong evidence base for retail tobacco control is a priority for practitioners. While prospective experimental studies to assess these interventions are difficult, if not impossible, to conduct, computational modeling is poised to help fill the evidence gap. The goal of the proposed study is to develop a computational agent-based model to examine and compare the potential impact of various retail tobacco control strategies across different community contexts. The study has three primary aims. 1) Develop Tobacco Town, an agent-based model that represents community environments with individual current and potential tobacco users. The model will incorporate realistic geographic and commercial spaces, individual tobacco use behaviors (e.g., initiation, cessation, purchase), and retailer practices (e.g., pricing and product availability). 2) Use the model as a simulated laboratory to implement innovative strategies to better understand how each might impact smoking-related behaviors. We will also consider the strategies in terms of vulnerable populations, specifically racial/ethnic and sexual minorities and low-income residents. 3) Tailor Tobacco Town to represent diverse neighborhoods in 10-12 large urban- suburban areas in the US to examine potential context-specific effects of different interventions. While helping to build the evidence base for innovative tobacco control strategies, the Tobacco Town model will also enhance the relevance of this evidence through simulating various interventions in different contexts. Finally, the model and its results will advance the use of computational approaches to tobacco control and reducing tobacco use, and public health more broadly.

项目3烟草镇：项目摘要/摘要 烟草的使用仍然是美国可预防死亡和疾病的最大原因， 在许多社区和人口中，社会经济差异持续存在。新和 专注于零售环境的创新烟草控制干预措施正在发展， 旨在减少烟草产品的普遍性并消除差异，主要是 通过三种机制之一：位置（例如，降低烟草零售商密度），价格（例如， 折扣）或产品可用性（例如，限制了调味的烟草产品）。但是， 支持这些策略有效性的证据只是出现。发展强者 零售烟草控制的证据基础是从业者的优先事项。虽然潜在的 评估这些干预措施的实验研究很难（即使不是不可能）进行， 计算建模有望帮助填补证据差距。拟议的研究的目的是 开发基于计算代理的模型，以检查和比较 跨不同社区环境的各种零售烟草控制策略。该研究有 三个主要目标。 1）开发烟草镇，这是一种基于代理的模型，代表 具有个人当前和潜在烟草用户的社区环境。该模型将 结合现实的地理和商业空间，单个烟草使用行为（例如， 启动，停止，购买）和零售商实践（例如定价和产品可用性）。 2） 使用该模型作为模拟实验室来实施创新策略以更好地理解 每个人如何影响与吸烟有关的行为。我们还将以术语来考虑策略 弱势群体，特别是种族/种族和性少数群体和低收入 居民。 3）量身定制烟草镇，代表10-12个大型城市的不同社区 美国的郊区地区检查不同干预措施的潜在背景特异性影响。 在帮助建立创新烟草控制策略的证据基础的同时，烟草 城镇模型还将通过模拟各种 在不同情况下的干预措施。最后，模型及其结果将推动使用 烟草控制和减少烟草使用的计算方法，更多 广泛。