https://doi.org/10.1140/epjp/s13360-023-04628-4
Regular Article
Numerical simulations with mitigation strategies on Barabási–Albert network for the spread of coronavirus in Pakistan
1
Department of Mathematics, University of Central Punjab, Lahore, Pakistan
2
Department of Mathematics, Firat University, 23119, Elazig, Turkey
3
Department of Computer Engineering, Biruni University, 34010, Istanbul, Turkey
4
Department of Medical Research, China Medical University Hospital, 40402, Taichung, Taiwan
5
Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia
6
Technical Education and Vocational Training Authority, Government of the Punjab, Lahore, Pakistan
Received:
20
September
2023
Accepted:
23
October
2023
Published online:
3
November
2023
Since its emergence in China in 2019, the coronavirus has exerted its impact on every nation. Throughout this period, epidemiological models have been employed to anticipate the disease’s patterns. These models rely on the random diffusion of the virus, overlooking the inherent social interactions within communities. A pioneering approach involves incorporating the concept of networks to account for these human interactions. The present study presents visual depictions of numerical simulations utilizing the Susceptible–Infected–Recovered model on the Barabási–Albert network. This enables an analysis of coronavirus dynamics in Pakistan while considering diverse mitigation strategies. The findings underscore that effective infection management involves preventing its spread into central hubs-nodes with extensive connections-and significantly curtailing social interactions within society.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
