Document Type : Original Article(s)
Author
Assistant Professor, Information Technology, Department of Computer, Esfarayen Engineering Higher Education Complex, Esfarayen, Iran
Abstract
Introduction: The World Health Organization (WHO) announced the new corona virus epidemic called coronavirus disease 2019 (COVID-19) as a public health emergency with international information. In this special modeling, they specifically use the device to model diseases. The purpose of this study was to analyze the spread of COVID-19 in Iran using the Susceptible-Infected-Removed (SIR) tool and to determine the R0 identification rate of infected individuals in the community.Methods: In this study, first the disease progression trend was investigated and then the SIR model was used to identify the R0 indicators of epidemic characteristics and some viral diseases in the programming environment. Data related to transmission of virus infection in Iran from 02/21/2020 to 10/12/2021 were selected from the GitHub source in the COVID-19 analysis.Results: Based on the results obtained from the SIR model, in the period of 600 days, the estimated number of infected people was 5619032, with the maximum point of this period taking place on the 47th day from the beginning of the period. On the other hand, considering the obtained values, the prevalence rate of R0 in the final three months, the spread of the disease was largely controlled, however, the prevalence rate was more than one.Conclusion: Considering that significant changes have occurred since the beginning of vaccination in Iran, it can be concluded that the spread of the disease has been largely controlled, but as long as the prevalence rate is more than one, more control should be exercised.
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