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Systems science and population health

Author: Abdulrahman M El-Sayed; Sandro Galea
Publisher: New York, NY Oxford University Press 2017
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This work employs principles from across a range of sciences to refine the way we understand population health. By augmenting traditional analytic approaches with new tools like machine learning, microsimulation, and social network analysis, population health can be studied as a dynamic and complex system. This allows us to understand population health as a complex whole, offering new insights and perspectives that  Read more...
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Details

Additional Physical Format: Print version
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Abdulrahman M El-Sayed; Sandro Galea
ISBN: 9780190492427 0190492422 9780190492397 0190492392
OCLC Number: 1013580953
Notes: Previously issued in print: 2017
Zielgruppe - Audience: Specialized
Description: 1 Online-Ressource (1 online resource)
Contents: 1.Introduction Abdulrahman M. El-SayedSECTION 1: Simplicity, complexity and population health 2. Reductionism at the dawn of population healthKristin Heitman3. Wrong answers: when simple interpretations create complex problemsDavid S. Fink, Katherine M. Keyes4. Complexity: the evolution towards 21st century scienceAnton Palma, David W. Lounsbury 5. Systems thinking in population health research and policyStephen MooneySECTION 2: Methods in systems population health6. Generation of systems maps: mapping complex systems of population healthHelen de Pinho7. Systems dynamics modelsEric Lofgren8. Agent-based modelingBrandon Marshall9. MicrosimulationSanjay Basu10. Social network analysis: the ubiquity of social networks and their importance for population healthDouglas A. Luke, Amar Dhand, Bobbi J. CarothersSECTION 3: Systems science towards a consequential population health11. Machine learningJames H. Faghmous12. Systems science and the social determinants of population healthDavid S. Fink, Katherine M. Keyes, Magdalena Cerda13. Systems approaches to understanding how the environment influences population health and population health interventionsMelissa Tracy14. Systems of behavior and population healthMark Orr, Kathryn Ziemer, Daniel Chen15. Systems under your skinKarina Standahl Olsen, Hege Bovelstad, Eiliv Lund16. Frontiers in health modelingNathaniel Osgood17. Systems science and population healthAbdulrahman M. El-Sayed, Sandro Galea
Responsibility: Abdulrahman M. El-Sayed and Sandro Galea

Abstract:

This work employs principles from across a range of sciences to refine the way we understand population health. By augmenting traditional analytic approaches with new tools like machine learning, microsimulation, and social network analysis, population health can be studied as a dynamic and complex system. This allows us to understand population health as a complex whole, offering new insights and perspectives that stand to improve the health of the public. The text offers the first educational and practical guide to this forward-thinking approach

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