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

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...

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Detalles Bibliográficos
Autores principales: Ríos-Gutiérrez, Andrés, Torres, Soledad, Arunachalam, Viswanathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441809/
https://www.ncbi.nlm.nih.gov/pubmed/37603570
http://dx.doi.org/10.1371/journal.pone.0285624
Descripción
Sumario: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.

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