Statistical Investigation of Novel Corona Virus COVID -19

  • Supriya Khaitan, Anamika Mitra, Priyanka Shukla,Dr Sudeshna Chakraborty

Abstract

With the uprising cases of corona virus (COVID-19), the whole world has come to stand still. The deadly virus has infected more than 672,000 cases and caused 31,000 deaths and the number is still rising. The intensity of pressure on government is too high, so it is critical to understand the reason of rising number and ways it can be controlled. The study shows the analysis of the spread of COVID-19 on the basis of age, travel history and symptoms-based clusters. In this paper, data of Ministry of Health (MoH) of the COVID -19 affected country China, till 29h March 2020, is analysed based on basic demographic data (age, sex and symptoms). Clustering is used to categorise the symptoms based on age group ranging from 0 to 87 years.

Published
2020-04-25
How to Cite
Supriya Khaitan, Anamika Mitra, Priyanka Shukla,Dr Sudeshna Chakraborty. (2020). Statistical Investigation of Novel Corona Virus COVID -19. International Journal of Control and Automation, 13(2s), 01 - 06. Retrieved from https://sersc.org/journals/index.php/IJCA/article/view/11534