tetano
Editor, Senior Moderator
Soft comput
. 2021 Aug 28;1-15.
doi: 10.1007/s00500-021-06133-1. Online ahead of print.
Mathematical analysis of COVID-19 pandemic by using the concept of SIR model
Harish Garg[SUP] 1 [/SUP], Abdul Nasir[SUP] 2 [/SUP], Naeem Jan[SUP] 2 [/SUP], Sami Ullah Khan[SUP] 2 [/SUP]
Affiliations
Abstract
The health organizations around the world are currently facing one of the greatest challenges, to overcome the current global pandemic, COVID-19. It erupted in December 2019, in Wuhan City, China. It spreads rapidly throughout the world within couple of months. In this paper, the data of the COVID-19 have been collected, organized, analyzed and interpreted using the discrete-time model of SIR epidemic model. Moreover, results for several countries from different regions of the world have been obtained. Furthermore, comparative study has been carried out for the countries under consideration. The comparison was performed for the data of different countries on same dates of each month. However, the calculations are carried out for thirteen consecutive weeks, to investigate the rate of spread and the control of the disease in these countries. This guides us to some important concepts like factors favoring the spread of virus and those resisting the spread. Different regions are studied and their data have been evaluated to know which regions are the most effected. This study helps to know the important factors about the behavior of the coronavirus in different environments, such as lockdowns, temperatures, humidity and other restrictions. The proposed concepts and equations can be used to project the upcoming behavior of the pandemic.
Keywords: Comparative study; Discrete-time SIR model; Rate of infection of COVID-19; SIR model.
. 2021 Aug 28;1-15.
doi: 10.1007/s00500-021-06133-1. Online ahead of print.
Mathematical analysis of COVID-19 pandemic by using the concept of SIR model
Harish Garg[SUP] 1 [/SUP], Abdul Nasir[SUP] 2 [/SUP], Naeem Jan[SUP] 2 [/SUP], Sami Ullah Khan[SUP] 2 [/SUP]
Affiliations
- PMID: 34483720
- PMCID: PMC8397880
- DOI: 10.1007/s00500-021-06133-1
Abstract
The health organizations around the world are currently facing one of the greatest challenges, to overcome the current global pandemic, COVID-19. It erupted in December 2019, in Wuhan City, China. It spreads rapidly throughout the world within couple of months. In this paper, the data of the COVID-19 have been collected, organized, analyzed and interpreted using the discrete-time model of SIR epidemic model. Moreover, results for several countries from different regions of the world have been obtained. Furthermore, comparative study has been carried out for the countries under consideration. The comparison was performed for the data of different countries on same dates of each month. However, the calculations are carried out for thirteen consecutive weeks, to investigate the rate of spread and the control of the disease in these countries. This guides us to some important concepts like factors favoring the spread of virus and those resisting the spread. Different regions are studied and their data have been evaluated to know which regions are the most effected. This study helps to know the important factors about the behavior of the coronavirus in different environments, such as lockdowns, temperatures, humidity and other restrictions. The proposed concepts and equations can be used to project the upcoming behavior of the pandemic.
Keywords: Comparative study; Discrete-time SIR model; Rate of infection of COVID-19; SIR model.