An Epidemic Model with Time-Distributed Recovery and Death Rates
Abstract
A compartmental epidemiological model with distributed recovery and death rates is proposed. In some particular cases, the model can be reduced to the conventional SIR model. However, in general, the dynamics of epidemic progression in this model is different. Distributed recovery and death rates are evaluated from COVID-19 data. The model is validated by the epidemiological data for different countries, and it shows better agreement with the data than the SIR model. The time-dependent disease transmission rate is estimated.
Domains
Analysis of PDEs [math.AP]| Origin | Files produced by the author(s) |
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