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Title
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A stochastic model for spread of Covid-19 based on the impact of different safety protocols
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Type
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Presentation
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Keywords
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Stochastic model, COVID-19, Reproduction number, Numerical simulation, Collocation method
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Abstract
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In this work, a stochastic mathematical model for the transmission of Coronavirus disease is investigated to study the effect of different safety protocols, for instance, social-distancing, mask use and quarantine on the spread of this virus. For this purpose, the details of the proposed deterministic COVID-19 model and its stochastic version are described. Finally, numerical solutions are determined by using a collocation approach to illustrate the impact of different parameters on the dynamics of the disease.
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Researchers
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ُSeddighe Banihashemi (Second Researcher), Afshin Babaei (First Researcher)
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