Smart Decision Making Using Data Science Technology with COVID-19 Data*

The rapid spread of the novel coronavirus COVID-19 since December 2019 has posed unprecedented challenges to healthcare systems and decision-makers in public health. The responses to the virus differed from country to country, which led to variable outcomes throughout. Understanding how the answer to the virus and resource availability affected the outcomes is important. In this paper, we present our work on using various data science technologies including correlation analysis, regression analysis, and exploratory data analysis to understand the relationship among different variables and factors. We also present a set of data visualization tools that consist of two types of geospatial visualization functions, standard bar chart, stacked bar chart, and line chart. These tools help users to better understand the data and to make smart decisions in policies related to response, prevention, and intervention of pandemic episodes.