Complex Systems and Population Health

Häftad, Engelska, 2020

AvYorghos Apostolopoulos,Michael K. Lemke,Kristen Hassmiller Lich

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Currently, population health science is an integral part of global academic curricula. For over a century, the principles of the reductionist paradigm have guided population health curricula, training, research, and action. Researchers continue to draw upon these principles when theorizing, conceptualizing, designing studies, analyzing, and devising interventions to tackle complex population health problems. However, unresolved impasses in addressing pressing population health challenges have catalyzed calls for the integration of complex-systems-science-grounded approaches into population health science. Mounting evidence denotes that a complex systems paradigm can bring about dramatic, multipronged changes for education and training, and lead to innovative research, interventions, and policies. Despite the large and untapped promise of complex systems, the haphazard knowledge base from which academics, researchers, students, policymakers, and practitioners can draw has slowed their integration into the population health sciences. This volume fulfils this growing need by providing the knowledge base necessary to introduce a holistic complex systems paradigm in population health science. As such, it 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 theoretical, methodological and analytical perspectives. It is intended as a programmatic primer across a broad spectrum of population health stakeholders: from university professors and graduate students, to researchers, policymakers, and practitioners.

Produktinformation

Utgivningsdatum2020-08-13
Mått155 x 231 x 22 mm
Vikt476 g
FormatHäftad
SpråkEngelska
Antal sidor336
FörlagOUP USA
ISBN9780190880743

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Epidemiologi och medicinsk statistik inom Medicin

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.

TABLE OF CONTENTSPART I: POPULATION HEALTH SCIENCE IN A COMPLEX WORLDPrologueYorghos ApostolopoulosChapter 1 Bridging the divide: Where complex systems science meets population health scienceYorghos ApostolopoulosPART 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 healthMegan S. Patterson, Michael K. Lemke, and Jordan NelonChapter 3Population health as a complex adaptive system of systemsScott E. Page and Jon ZelnerChapter 4Complex network dynamics in population healthJames Moody and Dana K. PasqualeChapter 5Phase transitions and resilience in physical and psychological healthMarcel G.M. Olde Rikkert, Noemi Schuurman, and Rene J.F. MelisChapter 6How complex systems science can revolutionize population health theoryPatricia GoodsonTake-Home MessagesResources for Further Reading PART III: COMPLEX SYSTEMS AND METHODOLOGY IN POPULATION HEALTH SCIENCE Introductory Material: Preview and ObjectivesChapter 7 Designing population health research grounded in complex systems science Leah Frerichs and Natalie SmithChapter 8 Model thinking and formal modeling to improve our mental models in population health research and actionMichael K. LemkeChapter 9 Engaging stakeholders in mapping and modeling complex system structure to inform population health research and actionKristen Hassmiller Lich and Jill KuhlbergChapter 10Is it time to rethink "normal" in population health research? Neal Dawson and Pierpaolo AndrianiTake-Home MessagesResources for Further Reading PART IV: COMPLEX SYSTEMS AND ANALYTICAL TECHNIQUES IN POPULATION HEALTH SCIENCE Introductory Material: Preview and Objectives Chapter 11Mathematical modeling in population health research Karen Hicklin and Kristen Hassmiller LichChapter 12 Computational simulation modeling in population health research and policy Nathaniel OsgoodChapter 13System dynamics modeling to rethink health system reformJack Homer, Bobby Milstein, and Gary B. HirschChapter 14 Agent-based modeling to delineate opioid and other drug use epidemicsGeorgiy Bobashev, Lee D. Hoffer, and Francois R. LamyChapter 15Hybrid simulation modeling in population healthSally C. Brailsford, Dave C. Evenden, and Joe VianaChapter 16Validation of microsimulation models used for population health policyFernando Alarid-Escudero, Roman Gulati, and Carolyn M. RutterChapter 17 Computational simulation modeling: A tale of five models for health policy analysisMichael C. WolfsonChapter 18Physical sciences for non-physical problems: Understanding and controlling human diseaseLazaros GallosTake-Home Messages Resources for Further Reading PART V: TOWARD A NEW POPULATION HEALTH SCIENCEIntroductory Material: Preview and Objectives Chapter 19 Making the global complexity turn in population healthBrian CastellaniChapter 20 Harnessing complex systems: An emerging paradigm for a new population health science Yorghos ApostolopoulosTake-Home Messages Resources for Further Reading GLOSSARY OF TERMS INDEX