Use of a Modified SIRD Model to Analyze COVID-19 Data

Since the starting of the year 2020, the whole world is facing a challenge due to an outbreak of an unprecedented COVID-19 pandemic owing to a novel coronavirus. Here, a modified susceptible-infected-recovered-dead model has been used to analyze the time series data of the pandemic for five countries. It is established that the present model is capable of simultaneously explaining the temporal evolution of active-infected, recovered, and dead population of all these five countries. The key parameters governing the temporal evolution of the spread of this pandemic are estimated and compared.

Automated summary

Since the beginning of 2020, the world has been facing a challenge with the outbreak of the unprecedented COVID-19 pandemic caused by a novel coronavirus. A modified susceptible-infected-recovered-dead model was used to analyze time series data of the pandemic in five countries, effectively explaining the temporal evolution of active-infected, recovered, and dead populations. The key parameters governing the spread of the pandemic were estimated and compared, highlighting the characteristics of the temporal evolution of the pandemic.