New Horizons in Modeling and Simulation for Social Epidemiology and Public Health

Daniel Kim

• Publisher: Wiley
• Year: 2021
• Print ISBN:
  9781118589304
• eBook ISBN:
  9781118589571
• Edition: 1
• Topic: Medicine
• Subtopic: Epidemiology

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.

Part I
Introduction

1
A Primer on the Social Determinants of Health

Daniel Kim

Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA

School of Public Policy and Urban Affairs, Northeastern University, Boston, MA, USA

1.1 Introduction

We begin this book with a simple example of cross‐country comparisons of life expectancy that illustrates the striking differences in health across populations. The social determinants of health—fundamental social and economic conditions in which we live, work, and play—may help to shape and explain such stark population health inequalities. In this introductory chapter, I present a conceptual framework for the social determinants of health and two related population health frameworks—the 3 P's (people, places, and policies) Population Health Triad and the Health in All Policies (HiAP) approach. I next discuss approaches for studying the social determinants of health, highlight what we know so far about them, and give some practical examples of their estimated large public health impacts if we were to intervene and modify them.

1.2 The Health Olympics: Winners and Losers

The “Health Olympics” is a term that was coined to describe how rich countries perform relative to each other in life expectancy at birth (Population Health Forum 2003). Figure 1.1 shows these results for 2017 by sex and for the sexes combined based on data for Organisation for Economic Co‐operation and Development (OECD) countries (OECD 2018). In these hypothetical Olympics, there are clear winners and losers.

Despite being one of the richest nations in the world, the United States fails to medal in this imaginary international competition; in fact, it falls well short of the podium, placing twenty‐seventh, with an overall life expectancy of 78.6 years. By contrast, Japan wins the gold medal for life expectancy for men and women combined at 84.1 years—first among women at 87.1 years, second among men at 81.0 years—and bests the United States by 5.5 years, an enormous gap in life expectancy at a population level. Meanwhile, Australia and a number of countries in the European Union either land on the medal podium or are at least very close to it (Figure 1.1).

Figure 1.1 Life expectancy at birth for OECD countries.

Source: From OECD (2018).

Differences in life expectancy at birth are often ascribed to a number of factors, including variations in living standards, lifestyle risk factors, education, and access to health services. But what additional insights can research shed in relation to such patterns? In 2013, the U.S. National Academy of Sciences (NAS) commissioned a scientific panel to explore such cross‐national comparisons in life expectancy. This panel released its findings in a report entitled U.S. Health in International Perspective: Shorter Lives Poorer Health (National Research Council and Committee on Population 2013). The panel compared health outcomes in the United States to those of 16 comparable high‐income countries, including whether the US health disadvantage exists across all ages. It also explored potential explanations and assessed the broader implications of these findings. The panel identified a strikingly consistent and pervasive pattern of higher mortality and worse health among Americans compared to those in other nations between the late 1990s and 2008. This health disadvantage starts at birth, affects all age groups up to age 75, and encompasses multiple health and disease outcomes and conditions (e.g. injuries and homicide, infections, heart disease, obesity, and arthritis) and biological and behavioral risk factors (National Research Council and Committee on Population 2013).

Furthermore, the NAS panel reported that premature deaths occurring before age 50 accounted for as much as two‐thirds of the difference in life expectancy in men between the United States and other countries and one‐third of the difference in women (National Research Council and Committee on Population 2013). Skyrocketing overdoses of drugs, primarily due to opioids, are a major contributor to these premature deaths (National Center for Health Statistics 2017). These fatal overdoses played a role in declines in life expectancy among Americans for a second consecutive year in 2015 and 2016 (Kochanek et al. 2017), marking the first time this has happened in more than half a century. Gun deaths also rose in 2016 for a second consecutive year. Firearm‐related injuries contribute substantially to life expectancy, accounting for 7.1% of premature deaths or years of potential life lost before the age of 65 (Fowler et al. 2015).

Americans reach the age of 50 in worse health than their counterparts in other high‐income countries as older adults experience higher levels of morbidity and mortality from chronic diseases. Even socioeconomically advantaged (i.e. college educated or higher income) Americans fare worse than their counterparts in England and other countries (National Research Council and Committee on Population 2013). In offering potential explanations for these patterns, the panel referenced underlying societal factors—which we now commonly refer to as the social determinants of health—as possible root causes of the higher levels of morbidity and mortality and shorter life expectancies in the United States (National Research Council and Committee on Population 2013). For instance, despite its vast economy, the United States possesses considerably higher poverty rates and levels of income inequality than most high‐income countries. In addition, although the United States once led the world in educational performance, students in many other countries now routinely outperform US students; these findings are analogous to the relative standings of these countries in the Health Olympics. Finally, in contrast to the United States, a number of other countries such as Sweden and Norway in Scandinavia offer larger public welfare and other social safety net programs. Such programs and services could conceivably help residents to better weather the storm of adverse effects on health caused by poor economic and social conditions (Adema et al. 2011; Kim 2016).

1.3 What are the Social Determinants of Health?

In 2005, the World Health Organization (WHO) established a Commission on the Social Determinants of Health that was tasked with the job of supporting countries to address the upstream social factors that shape population health and health inequities (WHO Commission on the Social Determinants of Health 2008). The overall goal of the Commission was to draw the attention of governments and society to the social determinants of health and to create better social conditions for health, particularly amongst the most vulnerable populations. The commission delivered its final report to the WHO in 2008 (WHO Commission on the Social Determinants of Health 2008).

As defined by the WHO Commission, the social determinants of health are “the conditions in which people are born, grow, live, work, and age” (WHO Commission on the Social Determinants of Health 2008). These social determinants extend well beyond the confines of the health care system and include aspects of our neighborhood and workplace environments (e.g. the food, built, and social environments) and the social and economic policies (e.g. tax policies) that govern the regions in which we live. It is these “upstream” ...

Table of contents

• Cover
• Table of Contents
• Title Page
• Copyright Page
• List of Contributors
• Foreword
• Acknowledgements
• List of Figures
• List of Tables
• Part I: Introduction
• Part II: Agent‐Based Modeling
• Part III: Microsimulation Modeling
• Part IV: Conclusions
• Index
• Wiley Series in Modeling and Simulation
• End User License Agreement