An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá

Rios-Gutierrez, Andres; Torres, Soledad; Arunachalam, Viswanathan

Abstract

This paper studies the updated estimation method for estimating the transmission rate changes over time. The models for the population dynamics under SEIR epidemic models with stochastic perturbations are analysed the dynamics of the COVID-19 pandemic in Bogotá, Colombia. We performed computational experiments to interpret COVID-19 dynamics using actual data for the proposed models. We estimate the model parameters and updated their estimates for reported infected and recovered data. © 2023 Ríos-Gutiérrez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Más información

Título según WOS: An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá
Título según SCOPUS: An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá
Título de la Revista: PLOS ONE
Volumen: 18
Número: 8 August
Editorial: Public Library of Science
Fecha de publicación: 2023
Idioma: English
DOI:

10.1371/journal.pone.0285624

Notas: ISI, SCOPUS