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Systems Science and Population Health

Author: Abdulrahman M El-Sayed; Sandro Galea
Publisher: Oxford : Oxford University Press, 2017.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
SYSTEMS SCIENCE AND POPULATION HEALTH 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  Read more...
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Genre/Form: Electronic books
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Internet Resources
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Additional Physical Format: Print version:
El-Sayed, Abdulrahman M.
Systems Science and Population Health.
Oxford : Oxford University Press, ©2017
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Abdulrahman M El-Sayed; Sandro Galea
ISBN: 9780190492403 0190492406
OCLC Number: 973182593
Description: 1 online resource (241 pages)
Contents: Cover; Systems Science and Population Health; Copyright; Contents; Acknowledgments; Contributors; 1. Introduction; Section 1 Simplicity, Complexity, and Population Health; 2. Reductionism at the Dawn of Population Health; 3. Wrong Answers: When Simple Interpretations Create Complex Problems; 4. Complexity: The Evolution Toward 21st-​Century Science; 5. Systems Thinking in Population Health Research and Policy; Section 2 Methods in Systems Population Health; 6. Generation of Systems Maps: Mapping Complex Systems of Population health; 7. Systems Dynamics Models; 8. Agent-​Based Modeling 9. Microsimulation10. Social Network Analysis; Section 3 Systems Science Toward a Consequential Population Health; 11. Machine Learning; 12. Systems Science and the Social Determinants of Population Health; 13. Systems Approaches to Understanding How the Environment Influences Population Health and Population Health Interventions; 14. Systems of Behavior and Population Health; 15. Systems Under Your Skin; 16. Frontiers in Health Modeling; 17. Systems Science and Population Health; Index

Abstract:

SYSTEMS SCIENCE AND POPULATION HEALTH 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. This text offers the first educational and practical guide to this forward-thinking approach.

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