Title of article :
Comparison of COVID-19 Pandemic Dynamics in Asian Countries with Statistical Modeling
Author/Authors :
Zuo, Min School of Management - China University of Mining and Technology - Xuzhou City - Jiangsu Province, China , Khosa, Saima K Department of Statistics - Bahauddin Zakariya University - Multan, Pakistan , Ahmad, Zubair Department of Statistics - Yazd University - Yazd, Iran , Almaspoor, Zahra Department of Statistics - Yazd University - Yazd, Iran
Abstract :
In the current scenario, the outbreak of a pandemic disease COVID-19 is of great interest. A broad statistical analysis of this event is
still to come, but it is immediately needed to evaluate the disease dynamics in order to arrange the appropriate quarantine activities,
to estimate the required number of places in hospitals, the level of individual protection, the rate of isolation of infected persons,
and among others. In this article, we provide a convenient method of data comparison that can be helpful for both the
governmental and private organizations. Up to date, facts and figures of the total the confirmed cases, daily confirmed cases,
total deaths, and daily deaths that have been reported in the Asian countries are provided. Furthermore, a statistical model is
suggested to provide a best description of the COVID-19 total death data in the Asian countries.
Keywords :
COVID-19 , Pandemic , Dynamics , WMHC
Journal title :
Computational and Mathematical Methods in Medicine