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. 2020;2(5):501-503.
doi: 10.1007/s42399-020-00306-z. Epub 2020 May 12.

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

Affiliations

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

Ettore Rocchi et al. SN Compr Clin Med. 2020.

Abstract

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.

Keywords: Covid-19; Epidemic model; SI(R) model; SIRS model.

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Conflict of interest statement

Conflict of InterestThe authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Evolution of a SI(R) model according to the parameter estimates proposed. For a better comprehension, both the Recovered (R) and the Infected (I) subpopulations are subdivided into Symptomatic and Asymptomatic subjects (ratio 1:9). S indicates the Susceptible subpopulation

References

    1. Karako Kenji, Song Peipei, Chen Yu, Tang Wei. Analysis of COVID-19 infection spread in Japan based on stochastic transition model. BioScience Trends. 2020;14(2):134–138. doi: 10.5582/bst.2020.01482. - DOI - PubMed
    1. Kuniya T. Prediction of the epidemic peak of coronavirus disease in Japan, 2020. J Clin Med. 2020;36:789. doi: 10.3390/jcm9030789. - DOI - PMC - PubMed
    1. Linton NM, Kobayashi T, Yang Y, Hayashi K, Akhmetzhanov AR, Jung S, Yuan B, Kinoshita R, Nishiura H. Incubation period and other epidemiological characteristics of 2019 novel coronavirus infections with right truncation: a statistical analysis of publicly available case data. J Clin Med. 2020;9:538. doi: 10.3390/jcm9020538. - DOI - PMC - PubMed
    1. Rothe C, Schunk M, Sothmann P, Bretzel G, Froeschl G, Wallrauch C, Zimmer T, Thiel V, Jankem C, Guggemos W, Seilmaier M, Drosten C, Vollmar P, Zwirglmaier K, Zange S, Wolfel R, Hoelscher M. Transmission of 2019-nCoV infection from an asymptomatic contact in Germany. N Engl J Med. 2020;382(10):970–971. doi: 10.1056/NEJMc2001468. - DOI - PMC - PubMed
    1. Mossong J, Hens N, Jit M, Beutels P, Auranen K, Mikolajczyk R, Massari M, Salmaso S, Tomba GS, Wallinga J, Heijne J, Sadkowska-Todys M, Rosinska M, Edmunds WJ. Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med. 2008;5(3):e74. doi: 10.1371/journal.pmed.0050074. - DOI - PMC - PubMed

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