Health Data Science: Unraveling the Global Burden of Disease

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Health Data Science: Unraveling the Global Burden of Disease, Exploring Global Health Data: A Journey Through Disease, Disability, and the Tools That Make Sense of It All.

Course Description

This course provides a comprehensive introduction to the Global Burden of Disease (GBD) study, equipping participants with the tools and knowledge to analyze global health trends using GBD Results and GBD Compare. It is designed for those interested in epidemiology, public health, and health data analysis, offering a structured approach to understanding disease burden, mortality, and risk factors at a global scale.

The course begins by introducing the GBD framework and its importance in tracking disease patterns. It then explores key epidemiological databases, guiding learners through the most relevant sources of health data. Participants will develop hands-on experience using the GBD Results Tool, which provides access to extensive health metrics, and GBD Compare, a powerful visualization tool that enables comparisons across time, locations, and demographics.

Additional sections cover fundamental epidemiological concepts, including Disability Adjusted Life Years(DALY), risk factors, and disease etiology, along with a glossary of terms to support a clear understanding of technical definitions. The course concludes with an assessment to reinforce learning and a summary of key insights on how GBD data can inform health policy and research.

By the end of this course, participants will have gained practical skills to interpret and utilize GBD data effectively, supporting data-driven decision-making in public health and epidemiology.


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