Title Assessing the use of agent-based models for tobacco regulation / Committee on the Assessment of Agent-Based Models to Inform Tobacco Product Regulation, Board on Population Health and Public Health Practice ; Robert Wallace, Amy Geller, V. Ayano Ogawa, editors ; Institute of Medicine of the National Academies

Published Washington, D.C. : National Academies Press, [2015]

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Description 1 online resource (1 PDF file (xviii, 271 pages)) Contents Tobacco control landscape -- Building effective models to guide policy decision making -- An evaluation framework for policy-relevant agent-based models -- Review of the social network analysis for policy on directed graph networks model -- Data and implementation needs for computational modeling for tobacco control -- Appendix A: Considerations and best practices in agent-based modeling to inform policy: Ross A. Hammond -- Appendix B: Agent-based models for policy analysis: Lawrence Blume -- Appendix C: Assessing agent-based models for regulatory applications: lessons from energy analysis: Alan H. Sanstad -- Appendix D: Committee meeting agendas -- Appendix E: Committee biographical sketches Summary Tobacco consumption continues to be the leading cause of preventable disease and death in the United States. The Food and Drug Administration (FDA) regulates the manufacture, distribution, and marketing of tobacco products -- specifically cigarettes, cigarette tobacco, roll-your-own tobacco, and smokeless tobacco -- to protect public health and reduce tobacco use in the United States. Given the strong social component inherent to tobacco use onset, cessation, and relapse, and given the heterogeneity of those social interactions, agent-based models have the potential to be an essential tool in assessing the effects of policies to control tobacco. Assessing the Use of Agent-Based Models for Tobacco Regulation describes the complex tobacco environment; discusses the usefulness of agent-based models to inform tobacco policy and regulation; presents an evaluation framework for policy-relevant agent-based models; examines the role and type of data needed to develop agent-based models for tobacco regulation; provides an assessment of the agent-based model developed for FDA; and offers strategies for using agent-based models to inform decision making in the future Notes Title from PDF title page Bibliography Includes bibliographical references and index Notes This study was supported by Contract/Grant No. HHSF22301031T between the National Academy of Sciences and the Department of Health and Human Services: Food and Drug Administration. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the organizations or agencies that provided support for the project Online resource (viewed on September 17, 2015) Subject Smoking -- Health aspects -- United States Smoking cessation -- United States Tobacco use -- United States -- Prevention Tobacco use -- Health aspects -- Research -- United States Nicotine addiction -- Treatment. Medical policy. Mathematical models. Tobacco Use -- prevention & control Tobacco Use -- legislation & jurisprudence Tobacco Use Cessation Government Regulation Health Policy Computational Biology Models, Theoretical mathematical models. POLITICAL SCIENCE -- Public Policy -- Social Security. POLITICAL SCIENCE -- Public Policy -- Social Services & Welfare. Nicotine addiction -- Treatment Medical policy Mathematical models Smoking cessation Smoking -- Health aspects Tobacco use -- Prevention SUBJECT United States https://id.nlm.nih.gov/mesh/D014481 Subject United States Form Electronic book Author Wallace, Robert B., 1942- editor. Geller, Amy (Amy B.), editor. Ogawa, V. Ayano, editor. Institute of Medicine (U.S.). Committee on the Assessment of Agent-Based Models to Inform Tobacco Product Regulation, issuing body. ISBN 9780309317221 0309317223 9780309317238 0309317231

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