Cargando…

A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal

We propose a compartmental mathematical model for the spread of the COVID-19 disease, showing its usefulness with respect to the pandemic in Portugal, from the first recorded case in the country till the end of the three states of emergency. New results include the compartmental model, described by...

Descripción completa

Detalles Bibliográficos
Autores principales: Lemos-Paião, Ana P., Silva, Cristiana J., Torres, Delfim F.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674087/
http://dx.doi.org/10.1016/j.ecocom.2020.100885
_version_ 1783611443217694720
author Lemos-Paião, Ana P.
Silva, Cristiana J.
Torres, Delfim F.M.
author_facet Lemos-Paião, Ana P.
Silva, Cristiana J.
Torres, Delfim F.M.
author_sort Lemos-Paião, Ana P.
collection PubMed
description We propose a compartmental mathematical model for the spread of the COVID-19 disease, showing its usefulness with respect to the pandemic in Portugal, from the first recorded case in the country till the end of the three states of emergency. New results include the compartmental model, described by a system of seven ordinary differential equations; proof of positivity and boundedness of solutions; investigation of equilibrium points and their stability analysis; computation of the basic reproduction number; and numerical simulations with official real data from the Portuguese health authorities. Besides completely new, the proposed model allows to describe quite well the spread of COVID-19 in Portugal, fitting simultaneously not only the number of active infected individuals but also the number of hospitalized individuals, respectively with a [Formula: see text] error of [Formula: see text] and [Formula: see text] with respect to the initial population. Such results are very important, from a practical point of view, and far from trivial from a mathematical perspective. Moreover, the obtained value for the basic reproduction number is in agreement with the one given by the Portuguese authorities at the end of the three emergency states.
format Online
Article
Text
id pubmed-7674087
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-76740872020-11-19 A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal Lemos-Paião, Ana P. Silva, Cristiana J. Torres, Delfim F.M. Ecological Complexity Article We propose a compartmental mathematical model for the spread of the COVID-19 disease, showing its usefulness with respect to the pandemic in Portugal, from the first recorded case in the country till the end of the three states of emergency. New results include the compartmental model, described by a system of seven ordinary differential equations; proof of positivity and boundedness of solutions; investigation of equilibrium points and their stability analysis; computation of the basic reproduction number; and numerical simulations with official real data from the Portuguese health authorities. Besides completely new, the proposed model allows to describe quite well the spread of COVID-19 in Portugal, fitting simultaneously not only the number of active infected individuals but also the number of hospitalized individuals, respectively with a [Formula: see text] error of [Formula: see text] and [Formula: see text] with respect to the initial population. Such results are very important, from a practical point of view, and far from trivial from a mathematical perspective. Moreover, the obtained value for the basic reproduction number is in agreement with the one given by the Portuguese authorities at the end of the three emergency states. Elsevier B.V. 2020-12 2020-11-19 /pmc/articles/PMC7674087/ http://dx.doi.org/10.1016/j.ecocom.2020.100885 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Lemos-Paião, Ana P.
Silva, Cristiana J.
Torres, Delfim F.M.
A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal
title A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal
title_full A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal
title_fullStr A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal
title_full_unstemmed A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal
title_short A New Compartmental Epidemiological Model for COVID-19 with a Case Study of Portugal
title_sort new compartmental epidemiological model for covid-19 with a case study of portugal
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674087/
http://dx.doi.org/10.1016/j.ecocom.2020.100885
work_keys_str_mv AT lemospaiaoanap anewcompartmentalepidemiologicalmodelforcovid19withacasestudyofportugal
AT silvacristianaj anewcompartmentalepidemiologicalmodelforcovid19withacasestudyofportugal
AT torresdelfimfm anewcompartmentalepidemiologicalmodelforcovid19withacasestudyofportugal
AT lemospaiaoanap newcompartmentalepidemiologicalmodelforcovid19withacasestudyofportugal
AT silvacristianaj newcompartmentalepidemiologicalmodelforcovid19withacasestudyofportugal
AT torresdelfimfm newcompartmentalepidemiologicalmodelforcovid19withacasestudyofportugal