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.

The ultimate guide to dissemination and implementation research for public health, medicine, and the social sciences In the past twenty years, dissemination and implementation (D&I) research has sought to narrow the gap between the discovery of new knowledge and its application in public health, mental health, and health care settings. The challenges of moving research to practice and policy are universal, and future progress calls for collaborative partnerships and cross-country research. The fundamental tenet of D&I research-taking what we know about improving health and putting it into practice-must be the highest priority. Dissemination and Implementation Research in Health is the definitive roadmap to effecting change in health and science from today's leading D&I researchers. With insights from around the globe, these scholars collectively address key issues in the field including how to evaluate evidence based on effective interventions, how to design an appropriate study, and how to track a set of essential outcomes. Their work has been updated in this third edition with a strong focus on health equity and new chapters on de-implementation, scale-up and sustainment, and training and capacity building. This new edition also focuses on barriers to uptake of evidence-based interventions in the communities where people live their lives and from the social service agencies, hospitals, and clinics where they receive care. Now in its third edition, Dissemination and Implementation Research in Health remains the quintessential guide to making research more consequential for researchers and practitioners in health and the social sciences.

This handbook provides a unique, systematic and comprehensive overview from leading experts in the field of the policy-making tools deployed at all the phases of the policy process. It covers the fundamentals of both new and established policy tools – from regulation and public enterprises to subsidies and information campaigns, as well as new tools, such as social impact investing, nudges, crowdsourcing, co-production and new digital governance and data analysis techniques. The book consists of nine sections with five corresponding to the major research emphases of studies on policy tools across the stages of the policy cycle (agenda-setting, formulation, decision-making, implementation and evaluation). These are accompanied by overviews of key research and concepts, a discussion of how different kinds of tools can be usefully combined in simple or complex policy portfolios or mixes, and a concluding section on future research directions. Consolidating the state of knowledge and uniting classic foundational material with recent advancements in theory and practice in one location, the handbook is a defining volume in this field. The Routledge Handbook of Policy Tools is essential reading and an authoritative reference for scholars, students, researchers and practitioners of public policy, public administration, and public management, as well as those interested in comparative politics and government, public organizations and the use of policy tools and instruments in individual policy areas from climate change to public health.

Today, we know cities as shared spaces with the potential to both threaten and promote human health: while urban areas are known to amplify the transmission of epidemics like Ebola, urban residency is also associated with longer, healthier lives. Modern cities encompass a wide ecology of infrastructures, institutions and services that impact health, from access to improved sanitation and early childhood education to the design of buildings and transportation systems. So how has this centuries-long transformation in human settlement affected the mindset surrounding public health research and practice? Urban Public Health is an interdisciplinary collaboration from experts across the globe that approaches the issue of urban health research from a uniquely public health orientation. The carefully crafted and thoughtful chapters in this volume grapple with the complexity of the urban setting as a physical and social space while also providing an abundance of global and local examples of current urban health practices. Urban Public Health is divided into four pragmatic sections which cover core conceptual models of public health and their inequities, methods of urban health research assessment, methods of urban health research analysis and explanation, and ultimately, opportunities for urban health research to inform action through partnership and collaboration, including those which elevate community voices and capacities. An accessible guide for both students and researchers alike, Urban Public Health shines a light on how to understand, measure and change the urban setting so that cities grow, people thrive, and no one is left behind.

System of Systems Modeling and Analysis provides the reader with motivation, theory, methodology, and examples of modeling and analysis for system of system (SoS) problems. In addition to theory, this book contains history and conceptual definitions, as well as the theoretical fundamentals of SoS modeling and analysis. It then describes methods for SoS modeling and analysis, including use of existing methodology and original work, specifically oriented to SoS. Providing a bridge between theory and practice for modeling and analysis of SoS, this book includes generalized concepts and Methods, Tools, and Processes (MTP) applicable to SoS across any application domain. Examples of application from various fields will be used to provide a practical demonstration of the use of the methodologies. Features Offers a modern presentation of SoS principles and guided description of applying a modeling and analysis process to SoS engineering Provides additional modeling approaches useful for SoS engineering, including agent-based modeling Covers the current gap in literature between theory and modeling/application Features examples of applications from various fields, such as energy grids and regional transportation Includes questions, examples, and exercises at the end of each chapter This book is intended for senior undergraduate students in engineering programs studying SoS modeling, SoS analysis, and SoS engineering courses. Professional engineers will also benefit from MTP and examples as a baseline for specific user applications.

Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert′s Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.

This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on ​natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters.

Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques. Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results. A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.

An introduction to state-of-the-art modeling and simulation approaches for social and economic determinants of population health New Horizons in Modeling and Simulation for Social Epidemiology and Public Health offers a comprehensive introduction to modeling and simulation that addresses the many complex research questions in social epidemiology and public health. This book highlights a variety of practical applications and illustrative examples with a focus on modeling and simulation approaches for the social and economic determinants of population health. The book contains classic case examples in agent-based modeling (ABM) as well as essential information on ABM applications to public health including for infectious disease modeling, obesity, and tobacco control. This book also surveys applications of microsimulation (MSM) including of tax-benefit policies to project impacts of the social determinants of health. Specifically, this book: Provides an overview of the social determinants of health and the public health significance of addressing the social determinants of health Gives a conceptual foundation for the application of ABM and MSM to study the social determinants of health Offers methodological introductions to both ABM and MSM approaches with illustrative examples Includes cutting-edge systematic reviews of empirical applications of ABM and MSM in the social sciences, social epidemiology, and public health Discusses future directions for empirical research using ABM and MSM, including integrating aspects of both ABM and MSM and implications for public health policies Written for a broad audience of policy analysts, public planners, and researchers and practitioners in public health and public policy including social epidemiologists, New Horizons in Modeling and Simulation for Social Epidemiology and Public Health offers a fundamental guide to the social determinants of health and state-of-the-art applications of ABM and MSM to studying the social and economic determinants of population health.