How can data science help us deal with the new crown epidemic?

During the new crown pneumonia epidemic, many data scientists and business analysis practitioners were drawn into the field of epidemiology-of course, most of them are willing to do so. Large companies with data science teams want to know as much as possible about the possible infections of this epidemic in the areas where they do business. Some organizations originally have some epidemiologists or medical staff, but they do not necessarily have enough analysts to quantitatively analyze the data on the virus prevalence and case growth.

The main direction of these data scientists‘ efforts is to report or predict cases and/or deaths caused by new coronary pneumonia. Although there are many websites that provide basic descriptive analysis on the epidemic situation of this disease, most of the websites do not provide predictions on the number of future infection cases and deaths, and the data provided by these websites is not detailed enough to provide information. Enterprise use. Many companies, due to their own industry characteristics and business models, have ample reasons to do this work to figure out the impact of the epidemic on their businesses, customers, and employees.

Because each specific use case of data science depends on the environment, I will also introduce the company that applies the use case when I introduce each use case. Some companies and their representatives wanted to remain anonymous, but they confirmed the details of the project.