Dimensional Modelling Case Study Part 1 – Age Group


Age plays an important role in medicine and medical research. A patient’s ages is commonly grouped into small number of age ranges, reflecting the severity of certain disease on different age groups. With COVID-19 still ravaging the world, it’s important to understand the risk factors for sever COVID-19 outcomes, which increase with age.

However, different countries uses different age grouping to analyze the the severity outcomes. Based on this site: Worldometer – Coronavirus Age, Sex, Demographics, New York City Health has published their COVID-19 mortality rate base on these age groups:

0-17 18-44 45-64 65-74 75+