Rövid leírás:
Population Health Science formalizes an emerging discipline at the crossroads of social and medical sciences, demography, and economicsan emerging approach to population studies that represents a seismic shift in how traditional health sciences measure and observe health events.
Több
Hosszú leírás:
Population Health Science formalizes an emerging discipline at the crossroads of social and medical sciences, demography, and economicsan emerging approach to population studies that represents a seismic shift in how traditional health sciences measure and observe health events.
Bringing together theories and methods from diverse fields, this text provides grounding in the factors that shape population health. The overall approach is one of consequentialist science: designing creative studies that identify causal factors in health with multidisciplinary rigor.
Distilled into nine foundational principles, this book guides readers through population science studies that strategically incorporate:
? macrosocial factors
? multilevel, lifecourse, and systems theories
? prevention science fundamentals
? return on investment
? equity and efficiency
Harnessing the power of scientific inquiry and codifying the knowledge base for a burgeoning field, Population Health Science arms readers with tools to shift the curve of population health.
This book’s great strength derives from a clear and cohesive narrative dealing with the complex, messy and dynamic way in which the social context of our lives interacts with our individual biological make-up and behaviours – in the here and now, and even preceding conception. […] The authors seek to embolden the next generation of epidemiologists not to be deterred by political and practical constraints and to embrace ubiquitous factors – those macrosocial variables which might seem out of reach, almost impenetrable.
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Tartalomjegyzék:
1. An introduction to population health science
2. Conceptualizing and evaluating causes for population health science
3. The causes of cases versus causes of incidence
4. Population health across levels, systems, and the lifecourse
5. Ubiquity and the macrosocial determinants of population health
6. Causal architecture to understand what matters most: theory
7. Causal architecture and what matters most: quantitative examples
8. Valuing population health interventions, measuring return on investment
9. Equity and efficiency in population health science
10. Prediction in population health science
11. Case study: Can we reduce obesity by encouraging people to eat better?
12. Case study: Simulating the impact of high-risk and population intervention strategies for the prevention of disease
13. Tensions in population health science
