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 countrie...

Full description

Saved in:
Bibliographic Details
Published in:Industrial & engineering chemistry research 2021-03, Vol.60 (11), p.4251-4260
Main Authors: Sen, Devosmita, Sen, Debasis
Format: Article
Language:English
Subjects:
Kinetics, Catalysis, and Reaction Engineering
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0888-5885
1520-5045
DOI:10.1021/acs.iecr.0c04754