Systems science and population health / / edited by Abdulrahman M. El-Sayed, Sandro Galea

• Pubblicazione: New York, NY : , : Oxford University Press, , 2017
• Descrizione fisica: 1 online resource (241 pages) : illustrations
• Disciplina: 362.1
• Soggetto topico: Public health; Public health - Statistical services
• Persona (resp. second.): El-SayedAbdulrahman M.; GaleaSandro
• Note generali: Previously issued in print: 2017.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: Reductionism at the dawn of population health / Kristin Heitman -- Wrong answers : when simple interpretations create complex problems / David S. Fink, Katherine M. Keyes -- Complexity : the evolution towards 21st century science / Anton Palma, David W. Lounsbury -- Systems thinking in population health research and policy / Stephen Mooney -- Generation of systems maps: mapping complex systems of population health / Helen de Pinho -- Systems dynamics model / Eric Lofgren -- Agent-based modeling / Brandon Marshall -- Microsimulation / Sanjay Basu -- Social network analysis : the ubiquity of social networks and their importance for population health / Douglas A. Luke, Amar Dhand, Bobbi J. Carothers -- Machine learning / James H. Faghmous -- Systems science and the social determinants of population health / David S. Fink, Katherine M. Keyes, Magdalena Cerdá -- Systems approaches to understanding how the environment influences population health and population health interventions / Melissa Tracy -- Systems of behavior and population health / Mark Orr, Kathryn Ziemer, Daniel Chen -- Systems under your skin / Karina Standahl Olsen, Hege Bøvelstad, Eiliv Lund -- Frontiers in health modeling / Nathaniel Osgood -- Systems science and population health / Abdulrahman M. El-Sayed, Sandro Galea.
• Sommario/riassunto: 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.
• Titolo autorizzato: Systems science and population health
• ISBN: 0-19-049241-4; 0-19-049242-2; 0-19-049240-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910164927403321
• Lo trovi qui: Univ. Federico II