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Complex Systems and Computation in Public Health Sciences is the first comprehensive book in population health science that meaningfully integrates complex systems theory, methodology, modeling, computational simulation, and real-world applications while incorporating current population health perspectives.
List of contents
- TABLE OF CONTENTS
- PART I: POPULATION HEALTH SCIENCE IN A COMPLEX WORLD
- Prologue
- Yorghos Apostolopoulos
- Chapter 1
- Bridging the divide: Where complex systems science meets population health science
- Yorghos Apostolopoulos
- PART II: COMPLEX SYSTEMS AND THEORY IN POPULATION HEALTH SCIENCE
- Introductory Material: Preview and Objectives
- Chapter 2
- Complex systems in a nutshell: Foundational concepts for population health
- Megan S. Patterson, Michael K. Lemke, and Jordan Nelon
- Chapter 3
- Population health as a complex adaptive system of systems
- Scott E. Page and Jon Zelner
- Chapter 4
- Complex network dynamics in population health
- James Moody and Dana K. Pasquale
- Chapter 5
- Phase transitions and resilience in physical and psychological health
- Marcel G.M. Olde Rikkert, Noemi Schuurman, and Rene J.F. Melis
- Chapter 6
- How complex systems science can revolutionize population health theory
- Patricia Goodson
- Take-Home Messages
- Resources for Further Reading
- PART III: COMPLEX SYSTEMS AND METHODOLOGY IN POPULATION HEALTH SCIENCE
- Introductory Material: Preview and Objectives
- Chapter 7
- Designing population health research grounded in complex systems science
- Leah Frerichs and Natalie Smith
- Chapter 8
- Model thinking and formal modeling to improve our mental models in population health research and action
- Michael K. Lemke
- Chapter 9
- Engaging stakeholders in mapping and modeling complex system structure to inform population health research and action
- Kristen Hassmiller Lich and Jill Kuhlberg
- Chapter 10
- Is it time to rethink "normal" in population health research?
- Neal Dawson and Pierpaolo Andriani
- Take-Home Messages
- Resources for Further Reading
- PART IV: COMPLEX SYSTEMS AND ANALYTICAL TECHNIQUES IN POPULATION HEALTH SCIENCE
- Introductory Material: Preview and Objectives
- Chapter 11
- Mathematical modeling in population health research
- Karen Hicklin and Kristen Hassmiller Lich
- Chapter 12
- Computational simulation modeling in population health research and policy
- Nathaniel Osgood
- Chapter 13
- System dynamics modeling to rethink health system reform
- Jack Homer, Bobby Milstein, and Gary B. Hirsch
- Chapter 14
- Agent-based modeling to delineate opioid and other drug use epidemics
- Georgiy Bobashev, Lee D. Hoffer, and Francois R. Lamy
- Chapter 15
- Hybrid simulation modeling in population health
- Sally C. Brailsford, Dave C. Evenden, and Joe Viana
- Chapter 16
- Validation of microsimulation models used for population health policy
- Fernando Alarid-Escudero, Roman Gulati, and Carolyn M. Rutter
- Chapter 17
- Computational simulation modeling: A tale of five models for health policy analysis
- Michael C. Wolfson
- Chapter 18
- Physical sciences for non-physical problems: Understanding and controlling human disease
- Lazaros Gallos
- Take-Home Messages
- Resources for Further Reading
- PART V: TOWARD A NEW POPULATION HEALTH SCIENCE
- Introductory Material: Preview and Objectives
- Chapter 19
- Making the global complexity turn in population health
- Brian Castellani
- Chapter 20
- Harnessing complex systems: An emerging paradigm for a new population health science
- Yorghos Apostolopoulos
- Take-Home Messages
- Resources for Further Reading
- GLOSSARY OF TERMS
- INDEX
About the author
Yorghos Apostolopoulos is Associate Professor of Population Health and Founding Director of the Complexity & Computational Population Health Group at Texas A&M University.
Kristen Hassmiller Lich is an Associate Professor in the Department of Health Policy and Management at the University of North Carolina at Chapel Hill.
Michael Kenneth Lemke is Assistant Professor of Health and Behavioral Sciences at the University of Houston-Downtown in Houston, Texas, and Associate Director of the Complexity & Computational Population Health Group at Texas A&M University in College Station, Texas.
Summary
Complex Systems and Computation in Public Health Sciences is the first comprehensive book in population health science that meaningfully integrates complex systems theory, methodology, modeling, computational simulation, and real-world applications while incorporating current population health perspectives.
Additional text
The book is skillfully organized by the authors in way that moves the reader from simple to more complex and general to more specific considerations of the complex systems framework. The reader is afforded clear, concrete opportunities to explore population health science from the multifaceted system level lens versus a single cause perspective.
