Overview

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. Table of Contents Front Matter Summary 1 Introduction 2 Tobacco Control Landscape 3 Building Effective Models to Guide Policy Decision Making 4 An Evaluation Framework for Policy-Relevant Agent-Based Models 5 Review of the Social Network Analysis for Policy on Directed Graph Networks Model 6 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 Index

Full Product Details

Author:   Institute of Medicine ,  Board on Population Health and Public Health Practice ,  Committee on the Assessment of Agent-Based Models to Inform Tobacco Product Regulation ,  V. Ayano Ogawa
Publisher:   National Academies Press
Imprint:   National Academies Press
Dimensions:   Width: 15.20cm , Height: 2.00cm , Length: 22.90cm
Weight:   0.476kg
ISBN:  

9780309317221

ISBN 10:   0309317223
Pages:   290
Publication Date:   17 August 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Front Matter; 2 Summary; 3 1 Introduction; 4 2 Tobacco Control Landscape; 5 3 Building Effective Models to Guide Policy Decision Making; 6 4 An Evaluation Framework for Policy-Relevant Agent-Based Models; 7 5 Review of the Social Network Analysis for Policy on Directed Graph Networks Model; 8 6 Data and Implementation Needs for Computational Modeling for Tobacco Control; 9 Appendix A: Considerations and Best Practices in Agent-Based Modeling to Inform Policy--Ross A. Hammond; 10 Appendix B: Agent-Based Models for Policy Analysis--Lawrence Blume; 11 Appendix C: Assessing Agent-Based Models for Regulatory Applications: Lessons from Energy Analysis--Alan H. Sanstad; 12 Appendix D: Committee Meeting Agendas; 13 Appendix E: Committee Biographical Sketches; 14 Index

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