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Discontinuity, Nonlinearity, and Complexity

Dimitry Volchenkov (editor), Dumitru Baleanu (editor)

Dimitry Volchenkov(editor)

Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409, USA


Dumitru Baleanu (editor)

Cankaya University, Ankara, Turkey; Institute of Space Sciences, Magurele-Bucharest, Romania


The Effect of Social Distancing on Spreading of COVID-19: A Modelling Approach

Discontinuity, Nonlinearity, and Complexity 11(1) (2022) 91--96 | DOI:10.5890/DNC.2022.03.007

Aktar Saikh, Nurul Huda Gazi

Department of Mathematics and Statistics, Aliah University, IIA/27, New Town, Kolkata-700160, India

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Social distancing is a leading concern to the infectious COVID-19 outbreak or any other epidemic diseases which are spreading through the close contact or droplet transmission between a susceptible and infected person. An SIR model is introduced to describe the disease dynamics of the closed cases of Iran as of 31 March 2020. As the pandemic is going on, it is difficult to discuss more insights. We have tried to show the effect of social distancing on the spreading of COVID-19. The study reveals that the well maintains of social or physical distancing reduces the number of infections and deaths due to COVID-19.


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