An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá-Reference-Cited by-同舟云学术

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

Published:2023-08-21 Issue:8 Volume:18 Page:e0285624
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Ríos-Gutiérrez Andrés,Torres Soledad,Arunachalam Viswanathan^ORCID

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.

Funder

Dirección de Investigación, Universidad Nacional de Colombia

Fondecyt

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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