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• W4200029596 abstract "The novel coronavirus SARS-Cov-2 is a pandemic condition and poses a massive menace to health. The governments of different countries and their various prohibitory steps to restrict the virus's expanse have changed individuals' communication processes. Due to physical and financial factors, the population's density is more likely to interact and spread the virus. We establish a mathematical model to present the spread of the COVID-19 in India and worldwide. By the simulation process, we find the infected cases, infected fatality rate, and recovery rate of the COVID-19. We validate the model by the rough set method. In the method, we obtain the accuracy for the infected case is 90.19%, an infection-fatality of COVID-19 is 94%, and the recovery is 85.57%, approximately the same as the actual situation reported WHO. This paper uses the generalized simulation process to predict the outbreak of COVID-19 for different continents. It gives the way of future trends of the COVID-19 outbreak till December 2021 and casts enlightenment about learning the drifts of the outbreak worldwide." @default.
• W4200029596 created "2021-12-31" @default.
• W4200029596 creator A5005271087 @default.
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• W4200029596 date "2021-12-10" @default.
• W4200029596 modified "2023-10-01" @default.
• W4200029596 title "Mathematical modeling of the outbreak of COVID-19" @default.
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• W4200029596 doi "https://doi.org/10.1007/s13721-021-00350-2" @default.
• W4200029596 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34909367" @default.
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