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A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model

Many attempts to build epidemic models of the current Covid-19 epidemic have been made in the recent past. However, only models postulating permanent immunity have been proposed. In this paper, we propose a SI(R) model in order to forecast the evolution of the epidemic under the hypothesis of not pe...

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Detalles Bibliográficos
Autores principales: Rocchi, Ettore, Peluso, Sara, Sisti, Davide, Carletti, Margherita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216868/
https://www.ncbi.nlm.nih.gov/pubmed/32399517
http://dx.doi.org/10.1007/s42399-020-00306-z
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author Rocchi, Ettore
Peluso, Sara
Sisti, Davide
Carletti, Margherita
author_facet Rocchi, Ettore
Peluso, Sara
Sisti, Davide
Carletti, Margherita
author_sort Rocchi, Ettore
collection PubMed
description Many attempts to build epidemic models of the current Covid-19 epidemic have been made in the recent past. However, only models postulating permanent immunity have been proposed. In this paper, we propose a SI(R) model in order to forecast the evolution of the epidemic under the hypothesis of not permanent immunity. This model offers an analytical solution to the problem of finding possible steady states, providing the following equilibrium values: Susceptible about 17%, Recovered (including deceased and healed) ranging from 79 to 81%, and Infected ranging from 2 to 4%. However, it is crucial to consider that the results concerning the recovered, which at first glance are particularly impressive, include the huge proportion of asymptomatic subjects. On the basis of these considerations, we analyse the situation in the province of Pesaro-Urbino, one of the main outbreaks of the epidemic in Italy.
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spelling pubmed-72168682020-05-12 A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model Rocchi, Ettore Peluso, Sara Sisti, Davide Carletti, Margherita SN Compr Clin Med Covid-19 Many attempts to build epidemic models of the current Covid-19 epidemic have been made in the recent past. However, only models postulating permanent immunity have been proposed. In this paper, we propose a SI(R) model in order to forecast the evolution of the epidemic under the hypothesis of not permanent immunity. This model offers an analytical solution to the problem of finding possible steady states, providing the following equilibrium values: Susceptible about 17%, Recovered (including deceased and healed) ranging from 79 to 81%, and Infected ranging from 2 to 4%. However, it is crucial to consider that the results concerning the recovered, which at first glance are particularly impressive, include the huge proportion of asymptomatic subjects. On the basis of these considerations, we analyse the situation in the province of Pesaro-Urbino, one of the main outbreaks of the epidemic in Italy. Springer International Publishing 2020-05-12 2020 /pmc/articles/PMC7216868/ /pubmed/32399517 http://dx.doi.org/10.1007/s42399-020-00306-z Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Covid-19
Rocchi, Ettore
Peluso, Sara
Sisti, Davide
Carletti, Margherita
A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model
title A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model
title_full A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model
title_fullStr A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model
title_full_unstemmed A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model
title_short A Possible Scenario for the Covid-19 Epidemic, Based on the SI(R) Model
title_sort possible scenario for the covid-19 epidemic, based on the si(r) model
topic Covid-19
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216868/
https://www.ncbi.nlm.nih.gov/pubmed/32399517
http://dx.doi.org/10.1007/s42399-020-00306-z
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