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

PLoS One. 2023 Aug 21;18(8):e0285624. doi: 10.1371/journal.pone.0285624. eCollection 2023.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Colombia / epidemiology
  • Humans
  • Pandemics
  • Population Dynamics

Grants and funding

The author VA acknowledge support from the DIB, Universidad Nacional de Colombia project No.57809 and MATH-AmSud 18 MATH-07 SaSMoTiDep Project. The author ST acknowledge support from Basal Project FB210005, and Fondecyt 1221373 and 1230807.