期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2021
卷号：69
期号：9
页码：33-41
DOI：10.14445/22312803/IJCTT-V69I9P106
语种：English
出版社：Seventh Sense Research Group
摘要：Due to the unavoidable spreading of covid-19 and even taking all substantial measures, the infected ratio and the expiry rate of lives seem uncontrolled. In this aggravated situation, it seems crucial to take extraordinary measures to deal with the extraordinary pandemic situation, and it is only possible if the actual pandemic propagation ratio is to be acquainted. Therefore, a shrewd pandemic model is being developed that will generate real-time infection statistics on an hourly, weekly, and monthly basis. This shrewd model utilizes the well-known dataset, and when this dataset will be applied to determine the status of three types of infection as the number of infected people, the time when pandemic begins, and the time when the pandemic disappears. The time-based results are generated by conduction simulation in the python Simpy framework, and the generated results are the hallmark of real-time infection spreading ratio, and it shows that when the extraordinary measures for infection ratio are indispensable and when it becomes plausible.
