Social epidemiology is the branch of epidemiology concerned with the way that social structures, institutions and relationships influence health. It focuses on the social forces that contribute to the distribution of disease, including the analysis of well-known exposures (e.g. pollution, lifestyle) and how they emerge and are sustained through social factors. This course will introduce Social Epidemiology, including theories and methods widely used in the field. It offers an overview of mechanisms in which social factors influence health, frameworks in social epidemiology, and how to measure social factors and identify health inequalities. Last, but not least, the course aims to link methods in social epidemiology and demography through the study of population health considering social factors at multiple levels, from the micro to the macro levels.
Upon completion of the course, students will be able to understand theories and research methods of the social determinants of health, and use theoretical approaches and frameworks to study health inequalities. Students will learn about mechanisms in which social factors impact health and critically assess which methods to investigate these connections.
The course will be useful to Master students, pre-doctoral students, postdoctoral researchers and anyone interested in social epidemiology and population health.
It is expected that students have some basic knowledge in Statistical Methods.
Students must bring their own laptop and inform the course lecturer the statistical program they use if any: SPSS, Stata, R. If students are not familiar with any statistical program please let the lecturer know when registering for the course.
María Andrée is an Occupational Health Epidemiologist with a background in Public Health (MPH), Sociology and Demography (MA) and Occupational Health (PhD). She focuses her work on work-related social determinants of health. She has led studies on health and labour disparities and their connections to organizational and public policies.
Más informaciónData
27 maig 2024 - 29 maig 2024
Límit d'inscripció
27 març 2024
Horari
Monday to Wednesday from 11 to 13 hs and 14 to 16 hs
Modalitat
In person and online (hybrid)
Inscripció
300
Idioma
English