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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מידע ביבליוגרפי
Main Authors: Andrés Ríos-Gutiérrez, Soledad Torres, Viswanathan Arunachalam
פורמט: Article
שפה:English
יצא לאור: Public Library of Science (PLoS) 2023-01-01
סדרה:PLoS ONE
גישה מקוונת:https://doi.org/10.1371/journal.pone.0285624
תיאור
סיכום: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.
ISSN:1932-6203