Data Science: A Useful Tool for Understanding SARS-CoV-2 Information Facts
Nicandro Cruz-Ram ́ırez, Guillermo de Jesús Hoyos-Rivera, Sonia Lilia Mestizo-Gutiérrez, Horacio Tapia‐McClung · BENTHAM SCIENCE PUBLISHERS eBooks · 2022
By the end of 2019, a local pneumonia outbreak in Wuhan, China, was determined to be caused by a novel form of coronavirus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which, since then, has spread worldwide thus becoming the most important public health issue of the beginning of the 21st century. As a response, governments and health organizations started collecting data about this disease for analyzing it, trying to draw conclusions that could lead to a better understanding of it, and eventually to alleviate its effects. Through the analysis of the available data, our area of interest has to do with finding possible correlations By the end of 2019, a local pneumonia outbreak in Wuhan, China, was determined to be caused by a novel form of coronavirus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which, since then, has spread worldwide thus becoming the most important public health issue of the beginning of the 21st century. As a response, governments and health organizations started collecting data about this disease for analyzing it, trying to draw conclusions that could lead to a better understanding of it, and eventually to alleviate its effects. Through the analysis of the available data, our area of interest has to do with finding possible correlations.