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• W3204096018 abstract "The dynamics of COVID-19 in India are captured using a set of delay differential equations by dividing a constant population into six compartments. The equilibrium points are calculated and stability analysis is performed. Sensitivity analysis is performed on the parameters of the model. Bifurcation analysis is performed and the critical delay is calculated. By formulating the spread parameter as a function of temperature, the impact of temperature on the population is studied. We concluded that with the decrease in temperature, the average infections in the population increases. In view of the coming winter season in India, there will be an increase in new infections. This model falls in line with the characteristics that increase in isolation delay increases average infections in the population." @default.
• W3204096018 created "2021-10-11" @default.
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• W3204096018 date "2021-01-01" @default.
• W3204096018 modified "2023-09-30" @default.
• W3204096018 title "Low temperatures or high isolation delay increases the average COVID-19 infections in India : A Mathematical modeling approach" @default.
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• W3204096018 doi "https://doi.org/10.1515/cmb-2020-0122" @default.
• W3204096018 hasPublicationYear "2021" @default.
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