Epidemic Data Analysis Based on Data Visualization Technology

Abstract

The outbreak of COVID-19 at the end of 2019 has had a heavy impact on countries around the world, and its rapid spread has posed a huge challenge to the prevention and control work of all countries. Through data visualization technology, this paper comprehensively analyzes the epidemic data in China from multiple levels, including comparison analysis based on time span and comparison analysis based on countries. At the same time, this paper also analyzes the significant impact of the epidemic on China’s national economy from the macro and micro levels. Finally, the linear regression model is used to predict the GDP data during the epidemic period, and the comparison between the real and predicted GDP data during the epidemic period is made. It was found that the epidemic had a great impact on China’s national economy in the early stage, but the impact gradually weakened as time went by. Epidemic data analysis based on data visualization technology can provide powerful data support for epidemic prevention and control.