Daniel Kim - New Horizons in Modeling and Simulation for Social Epidemiology and Public Health

1 Cover

2 Title Page

3 Copyright Page

4 List of Contributors

5 Foreword References

6 Acknowledgements

7 List of Figures

8 List of Tables

9 Part I: Introduction 1 A Primer on the Social Determinants of Health 1.1 Introduction 1.2 The Health Olympics: Winners and Losers 1.3 What are the Social Determinants of Health? 1.4 The 3 P's (people, places, and policies) Population Health Triad 1.5 Conventional Approaches to Studying the Social Determinants of Health 1.6 Novel Approaches to Strengthen Causal Inference in Studying the Social Determinants of Health 1.7 What Do We Know About the Social Determinants of Health? 1.8 How Addressing the Social Determinants of Health Could Change Lives References 2 Rationale for New Modeling and Simulation Tools 2.1 Advantages of Systems Science Approaches over Conventional Approaches 2.2 Specific Advantages of Agent‐Based Modeling and Microsimulation Modeling 2.3 Comparison of Agent‐Based and Microsimulation Models 2.4 Why ABM and MSM are Useful for Studying the Social Determinants of Health 2.5 Structure of this Book References

10 Part II: Agent‐Based Modeling 3 Overview of Current Concepts and Process for Agent‐Based Modeling 3.1 The Components of an Agent‐Based Model: Key Terms 3.2 Steps in Designing and Deploying an Agent‐Based Model 3.3 History of ABM Application and Categories of ABM Usage References 4 Agent‐Based Modeling in the Social Sciences 4.1 Introduction 4.2 Segregation 4.3 Power Laws 4.4 The Anasazi 4.5 Conclusions References 5 Agent‐Based Modeling in Public Health 5.1 Introduction 5.2 Scale of ABM Usage in Public Health 5.3 Example Models: Infectious Disease 5.4 Example Models: Obesity 5.5 Example Models: Tobacco Control 5.6 Conclusions References 6 Section Summary 6.1 Past Use of ABM for Public Policy Translation 6.2 Bridging Gaps to Advance Agent‐Based Modeling of Social Determinants of Health References

11 Part III: Microsimulation Modeling 7 Concepts and Methods for Microsimulation Modeling in the Social Sciences 7.1 Introduction 7.2 Methodological Choices 7.3 Population Scope 7.4 Policy Scope 7.5 Building a Microsimulation Model 7.6 Applications for Policy Making: Illustrations in the Domain of Health 7.7 Conclusions References 8 Empirical Evidence Using Microsimulation Models in the Social Sciences 8.1 Introduction 8.2 Microsimulation and Economics 8.3 Microsimulation and the Prediction of Behavioral Changes 8.4 Beyond Economics: Microsimulation and Other Social Sciences 8.5 Microsimulation and Geography 8.6 Microsimulation and Transports 8.7 Microsimulation and Environmental Sciences 8.8 Conclusions References 9 Applications of Microsimulation Models to the Social Determinants of Health and Public Health 9.1 Overview 9.2 Direct Empirical Applications to the Study of the Social Determinants of Health 9.3 Other Empirical Applications of Microsimulation Models to Medicine and Public Health 9.4 Chapter Summary References 10 Section Summary 10.1 Summary of Previous Chapters 10.2 Direct Public Policy Relevance of Microsimulation 10.3 Bridging Gaps to Advance Microsimulation Modeling of the Social Determinants of Health References

12 Part IV: Conclusions 11 Future Directions 11.1 Avenues for Future Research 11.2 Conceptual Model and Empirical Examples of Integration of ABM and MSM 11.3 Facilitators and Constraints in the Continued Emergence of Modeling and Simulation of the Social Determinants of Health 11.4 Implications for Public Health References

13 Index

14 Wiley Series in Modeling and Simulation

15 End User License Agreement

1 Chapter 4Table 4.1 Selected subsequent papers related to Schelling's original ABM pape...Table 4.2 Selected subsequent papers related to Axtell et al.'s original ABM ...

2 Chapter 5Table 5.1 Number of hits from the literature search for peer‐reviewed publish...

3 Chapter 7Table 7.1 Selection of microsimulation health‐related models.

4 Chapter 8Table 8.1 Number of entries related to “microsimulation” in social sciences.Table 8.2 Incidence of indirect tax payments.

1 Chapter 1 Figure 1.1 Life expectancy at birth for OECD countries. Figure 1.2 A social determinants of health conceptual framework. Figure 1.3 The 3 P's (people, places, and policies) Population Health Triad.... Figure 1.4 Examples of multiple public sectors collectively adopting a Healt...

2 Chapter 2 Figure 2.1 Key differences between agent‐based modeling, microsimulation mod...

3 Chapter 3 Figure 3.1 The PARTE framework.

4 Chapter 4Figure 4.1 Schelling checkerboard (initial state).Figure 4.2 Schelling checkerboard (first six moves).Figure 4.3 Schelling checkerboard (final state) .Figure 4.4 Power law phenomena crop up throughout the social sciences: (a) U...Figure 4.5 The Long House Valley in northeastern Arizona, present day.Figure 4.6 Dynamic landscape of potential maize production in Long House Val...Figure 4.7 Actual and simulated population of Long House Valley between 800 ...

5 Chapter 7Figure 7.1 Building blocks of a microsimulation model.

6 Chapter 8Figure 8.1 Marginal effective tax rates (%) across the European Union, 2007....Figure 8.2 Total net child‐contingent payments vs. gross family/parental ben...Figure 8.3 Impact of fiscal consolidation measures by household income decil...Figure 8.4 Europe and the United States: own‐wage elasticities.

7 Chapter 9Figure 9.1 Published documents in Web of Science using combined keywords “mi...

8 Chapter 11Figure 11.1 Conceptual components of a potential ABM–MSM hybrid model and it...

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