Social epidemiology is the study of how social interactionsΠ²Πβsocial norms, laws, institutions, conventia, social conditions and behaviorΠ²Πβaffect the health of populations. This practical, comprehensive introduction to methods in social epidemiology is written by experts in the field. It is perfect
Methods in Social Epidemiology
β Scribed by J. Michael Oakes; Jay S Kaufman
- Publisher
- Jossey-Bass
- Year
- 2017
- Tongue
- English
- Leaves
- 603
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
A thorough, practical reference on the social patterns behind health outcomesMethods in Social Epidemiologyprovides students and professionals with a comprehensive reference for studying the social distribution and social determinants of health. Covering the theory, models, and methods used to measure and analyze these phenomena, this book serves as both an introduction to the field and a practical manual for data collection and analysis. This new second edition has been updated to reflect the field's tremendous growth in recent years, including advancements in statistical modeling and study designs. New chapters delve into genetic methods, structural cofounding, selection bias, network methods, and more, including new discussion on qualitative data collection with disadvantaged populations.
Social epidemiology studies the way society's innumerable social interactions, both past and present, yields different exposures and health outcomes between individuals within populations. This book provides a thorough, detailed overview of the field, with expert guidance toward the real-world methods that fuel the latest advances.
Identify, measure, and track health patterns in the population
Discover how poverty, race, and socioeconomic factors become risk factors for disease
Learn qualitative data collection techniques and methods of statistical analysis
Examine up-to-date models, theory, and frameworks in the social epidemiology sphere
As the field continues to evolve, researchers continue to identify new disease-specific risk factors and learn more about how the social system promotes and maintains well-known exposure disparities. New technology in data science and genomics allows for more rigorous investigation and analysis, while the general thinking in the field has become more targeted and attentive to causal inference and core assumptions behind effect identification. It's an exciting time to be a part of the field, andMethods in Social Epidemiologyprovides a solid reference for any student, researcher, or faculty in public health.
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