Issue |
E3S Web Conf.
Volume 270, 2021
International scientific forum on computer and energy Sciences (WFCES 2021)
|
|
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Article Number | 01003 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202127001003 | |
Published online | 09 June 2021 |
Development of a simulation model for the spread of COVID-19 coronavirus infection in Kaluga region
1
Kaluga State University named after K.E.Tsiolkovski, 26, Stepan Razin St., 248023, Kaluga, Russia
2
Financial University, Kaluga Branch, 17 Chizhevskogo 248016, St., Kaluga, Russia
* Corresponding author: TkachenkoAL@tksu.ru
The development of the situation around Covid-19 is an urgent problem for the whole world, and it is still not known exactly how the pandemic will develop. However, based on the data of the virus spread to date, it is possible to model the approximate outcome of the activities of humanity in the fight against Covid-19. To develop this model, we used a simulation tool-AnyLogic (Personal Learning Edition) with support for the Java programming language. This software has a large analytical functionality. When creating the Covid-19 infection model, the free version of the program was used. This model is only relevant if the pandemic continues at the same pace. There are many factors that can deviate from the presented model in any direction: early release from restrictive measures, virus mutations, forced vaccination of the population, and other measures that directly affect the main indicators of infection development. In the process of modelling the spread of Covid-19 coronavirus infection in the Kaluga region, results were obtained that reflect the rate of development of the pandemic. Thus, it is possible to identify the weaknesses of the fight against viruses and further minimize the rate of development of the disease.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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