Statistical Approaches to Understand COVID-19 Severity and Fatality

Statistical methods are essential tools for confronting the current COVID-19 pandemic.

These include approaches for quantifying the health impacts of the pandemic, methods for

identification of patterns, or risk stratification, for estimating the risk of individuals to become

infected, and of patients to die, and important clues on how to approach prediction models in a

comprehensive way. The purpose of this chapter is to review basic statistical concepts related

to characterization of COVID-19 severity and provide an application of a real scenario related to

the identification of predictors of COVID-19 fatality in evolving databases. Some other statistical

descriptions and comments are made of problems drawn from real situations.

Keywords: COVID-19, Statistics, Epidemiology, Prediction models, Health impact, Stratification, Severity, Fatality, Cuba

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