Development of a computational modeling laboratory for examining tobacco control policies: Tobacco Town.

ABSTRACT: A key focus of recent policy efforts to curb tobacco product usage has been the role of place-specifically the density of retail and advertising and the resulting spatial pattern of access and exposure for consumers. Policies can alter the environment by reducing density or shifting distribution of tobacco retail and thus limiting access and exposure. Since little empirical evidence exists for the potential impact of these policies across potentially heterogeneous places, we develop and apply an original spatial computational model to simulate place-based retail tobacco control policies. The model is well-grounded in theory and available empirical evidence. We apply the model in four representative settings to demonstrate the utility of this approach as a policy laboratory, to develop gene

SUBMITTER: Hammond RA 

PROVIDER: S-EPMC11410381 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature