SITK23001U Course in Register Based Epidemiology

Historical tradition in comprehensive, systematic collection of health data for entire Danish population into national health registers, presents unique opportunities for public health informatics and basis for effective disease surveillance and public health promotion in Denmark. This course will provide an introduction to the field of public health informatics and the key concepts, including public health, information systems, disease classification, big data management, descriptive epidemiology, data quality and validation. Furthermore, the course will provide an overview of the major Danish health registers and, for selected registers (CPR, Cause of Death Register, Cancer Registry, National Patient Register, Diabetes Register, etc.) a detailed insight will be provided into their background, purpose, historical development, technical aspects of data collection and content, and data quality and validity. Examples will be given of Danish register application in epidemiological research in areas such as disease surveillance, risk factors for chronic diseases, prevention and treatment, evaluation of screening programs, surveillance of epidemics, etc. Students will work with vital disease statistics, such as birth rates, mortality, prevalence and incidence rates for the major chronic diseases (cancer, cardiovascular and respiratory diseases, diabetes, etc.). Students will learn how to define these different health outcomes from Danish health registers through hands-on exercises with real register data, by using statistical software. Examples will be given of Danish register application in epidemiological research in areas such as disease surveillance, risk factors for chronic diseases, prevention and treatment, evaluation of screening programs, surveillance of epidemics, etc. Students will work with vital disease statistics, such as birth rates, mortality, prevalence and incidence rates for the major chronic diseases (cancer, cardiovascular and respiratory diseases, diabetes, etc.). Students will learn how to define these different health outcomes from Danish health registers through hands-on exercises with real register data, by using statistical software. Examples will be given of Danish register application in epidemiological research in areas such as disease surveillance, risk factors for chronic diseases, prevention and treatment, evaluation of screening programs, surveillance of epidemics, etc. Students will work with vital disease statistics, such as birth rates, mortality, prevalence and incidence rates for the major chronic diseases (cancer, cardiovascular and respiratory diseases, diabetes, etc.). Students will learn how to define these different health outcomes from Danish health registers through hands-on exercises with real register data, by using statistical software. such as birth rates, mortality, prevalence and incidence rates for the major chronic diseases (cancer, cardiovascular and respiratory diseases, diabetes, etc.). Students will learn how to define these different health outcomes from Danish health registers through hands-on exercises with real register data, by using statistical software. such as birth rates, mortality, prevalence and incidence rates for the major chronic diseases (cancer, cardiovascular and respiratory diseases, diabetes, etc.).