图书简介
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.
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 $ $ $ https://global.oup.com/academic/product/9780190880743 $ $ $ MBN; MBNS $ Public health & preventive medicine; Epidemiology & medical statistics
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