Related Experiment Video
Updated: Jul 19, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Use of a Modified SIRD Model to Analyze COVID-19 Data
Devosmita Sen1, Debasis Sen2,3
1Department of Chemical Engineering, Indian Institute of Technology, Bombay, Mumbai 400076, India.
Abstract:
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.
Related Concept Videos
Steps in Outbreak Investigation
Statistical Methods for Analyzing Epidemiological Data
Statistical Software for Data Analysis and Clinical Trials
Principles of Disease Surveillance
Censoring Survival Data
Mechanistic Models: Compartment Models in Individual and Population Analysis

