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.
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.
Abdulrahman M. El-Sayed, MD, DPhil, is a public health physician and epidemiologist. He serves the City of Detroit as the Executive Director of the Detroit Health Department and Health Officer. Under his leadership, the Detroit Health Department has emerged as a state and national leader in promoting healthy air quality, lead elimination, and public health innovation. Dr. El-Sayed's research explores urban health policy, the social determinants of health, and health inequalities. Previously, he was a professor in the Department of Epidemiology at Columbia University. Sandro Galea, MD, DrPH, is a physician and an epidemiologist interested in the social production of health of urban populations. His work explores innovative cells-to-society approaches to population health questions. He is interested in advancing a consequentialist approach to population health scholarship. He currently serves as Robert A. Knox Professor and Dean of the School of Public Health at Boston University. He is a past president of the Society for Epidemiologic Research, and an elected member of the National Academy of Medicine. Together they have been engaged in systems science scholarship and education for more than 15 years.
Inhaltsangabe
1.Introduction Abdulrahman M. El-Sayed SECTION 1: Simplicity, complexity and population health 2. Reductionism at the dawn of population health Kristin Heitman 3. Wrong answers: when simple interpretations create complex problems David S. Fink, Katherine M. Keyes 4. Complexity: the evolution towards 21st century science Anton Palma, David W. Lounsbury 5. Systems thinking in population health research and policy Stephen Mooney SECTION 2: Methods in systems population health 6. Generation of systems maps: mapping complex systems of population health Helen de Pinho 7. Systems dynamics models Eric Lofgren 8. Agent-based modeling Brandon Marshall 9. Microsimulation Sanjay Basu 10. Social network analysis: the ubiquity of social networks and their importance for population health Douglas A. Luke, Amar Dhand, Bobbi J. Carothers SECTION 3: Systems science towards a consequential population health 11. Machine learning James H. Faghmous 12. Systems science and the social determinants of population health David S. Fink, Katherine M. Keyes, Magdalena Cerda 13. Systems approaches to understanding how the environment influences population health and population health interventions Melissa Tracy 14. Systems of behavior and population health Mark Orr, Kathryn Ziemer, Daniel Chen 15. Systems under your skin Karina Standahl Olsen, Hege Bovelstad, Eiliv Lund 16. Frontiers in health modeling Nathaniel Osgood 17. Systems science and population health Abdulrahman M. El-Sayed, Sandro Galea
1.Introduction Abdulrahman M. El-Sayed SECTION 1: Simplicity, complexity and population health 2. Reductionism at the dawn of population health Kristin Heitman 3. Wrong answers: when simple interpretations create complex problems David S. Fink, Katherine M. Keyes 4. Complexity: the evolution towards 21st century science Anton Palma, David W. Lounsbury 5. Systems thinking in population health research and policy Stephen Mooney SECTION 2: Methods in systems population health 6. Generation of systems maps: mapping complex systems of population health Helen de Pinho 7. Systems dynamics models Eric Lofgren 8. Agent-based modeling Brandon Marshall 9. Microsimulation Sanjay Basu 10. Social network analysis: the ubiquity of social networks and their importance for population health Douglas A. Luke, Amar Dhand, Bobbi J. Carothers SECTION 3: Systems science towards a consequential population health 11. Machine learning James H. Faghmous 12. Systems science and the social determinants of population health David S. Fink, Katherine M. Keyes, Magdalena Cerda 13. Systems approaches to understanding how the environment influences population health and population health interventions Melissa Tracy 14. Systems of behavior and population health Mark Orr, Kathryn Ziemer, Daniel Chen 15. Systems under your skin Karina Standahl Olsen, Hege Bovelstad, Eiliv Lund 16. Frontiers in health modeling Nathaniel Osgood 17. Systems science and population health Abdulrahman M. El-Sayed, Sandro Galea
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