Novel Coronavirus 2019-Visualization and Prediction

ABSTRACT

The Novel Coronavirus 2019 is a crucial issue that has been a major global concern over the recent months. Visualizing its current situation and predicting its future development is beneficial for people to accurately recognize the circumstance and to take effective measures accordingly. This work uses novel charts to visualize Covid-19 on the global scale and continental scale with correlation analysis among and spread analysis. K-means clustering is also applied to group countries by number of infections and linking them with the countries' unique policies in combating the virus. An innovative method to predict the short evolution future of the virus is provided using a regression with Leaky ReLu. Shelford's law of tolerance is referred to and compared with. The visualization suggests that North America has the greatest number of confirmed cases, and the situation is worsening over time. A positive relation between the numbers for confirmed, deaths, and recovered cases is observed. The approximate burst time and spread route of the virus in different continents can also be derived. The country policy analysis compares the measures taken by various countries around the world with its results and concludes that more rigorous measures are generally more effective at controlling the spread of the virus. The future evolution trend of the virus is dependent on the behaviors of people is implied from the prediction analysis. This work aims to help people gain a better understanding of the current situation and the future evolution of Covid-19 as well as providing insights for improving measures adopted by countries in combating the virus.