Bayesian Inference for COVID-19 Transmission Dynamics in India Using a Modified SEIR Model

Bayesian Inference for COVID-19 Transmission Dynamics in India Using a Modified SEIR Model

We propose a modified population-based susceptible-exposed-infectious-recovered (SEIR) compartmental model for a retrospective study of the COVID-19 transmission dynamics in India during the first wave. We extend the conventional SEIR methodology to account for the complexities of COVID-19 infection...

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Bibliographic Details
Main Authors: Kai Yin, Anirban Mondal, Martial Ndeffo-Mbah, Paromita Banerjee, Qimin Huang, David Gurarie
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
Bayesian inference
compartmental SEIR model
Markov Chain Monte Carlo
infectious disease modeling
Online Access:https://www.mdpi.com/2227-7390/10/21/4037

Internet

https://www.mdpi.com/2227-7390/10/21/4037

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