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A note on Corona-virus (Covid-19) Infection in Italy

A statistical analysis of the corona-virus (Covid-19) infective process has been performed by a cooperative action during the period February-June 2020. A good analysis has been obtained by using an entropic model typical of phenomena where statistical entropy-negaentropy balance is expected to play...

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Autores principales: Pagano, Angelo, Pagano, Emanuele V., Pagano, Grazia, Spartà, Santi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432542/
https://www.ncbi.nlm.nih.gov/pubmed/32834917
http://dx.doi.org/10.1140/epjp/s13360-020-00674-4
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author Pagano, Angelo
Pagano, Emanuele V.
Pagano, Grazia
Spartà, Santi
author_facet Pagano, Angelo
Pagano, Emanuele V.
Pagano, Grazia
Spartà, Santi
author_sort Pagano, Angelo
collection PubMed
description A statistical analysis of the corona-virus (Covid-19) infective process has been performed by a cooperative action during the period February-June 2020. A good analysis has been obtained by using an entropic model typical of phenomena where statistical entropy-negaentropy balance is expected to play a major role. A saturation value of the infected humans was observed, and the number of people potentially (asymptomatic) involved in the process was determined with an accuracy of 15% in the Italian case, as relevant example. The saturation value represents about 16% of the total (symptomatic + asymptomatic) involved population in the process. The stability of the observed saturation level with the time shows that the governmental lockdown prescriptions, guided by scientists (virologists) have been effective to contain the diffusion of the virus and the associated human mortality.
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spelling pubmed-74325422020-08-18 A note on Corona-virus (Covid-19) Infection in Italy Pagano, Angelo Pagano, Emanuele V. Pagano, Grazia Spartà, Santi Eur Phys J Plus Regular Article A statistical analysis of the corona-virus (Covid-19) infective process has been performed by a cooperative action during the period February-June 2020. A good analysis has been obtained by using an entropic model typical of phenomena where statistical entropy-negaentropy balance is expected to play a major role. A saturation value of the infected humans was observed, and the number of people potentially (asymptomatic) involved in the process was determined with an accuracy of 15% in the Italian case, as relevant example. The saturation value represents about 16% of the total (symptomatic + asymptomatic) involved population in the process. The stability of the observed saturation level with the time shows that the governmental lockdown prescriptions, guided by scientists (virologists) have been effective to contain the diffusion of the virus and the associated human mortality. Springer Berlin Heidelberg 2020-08-18 2020 /pmc/articles/PMC7432542/ /pubmed/32834917 http://dx.doi.org/10.1140/epjp/s13360-020-00674-4 Text en © Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 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 Regular Article
Pagano, Angelo
Pagano, Emanuele V.
Pagano, Grazia
Spartà, Santi
A note on Corona-virus (Covid-19) Infection in Italy
title A note on Corona-virus (Covid-19) Infection in Italy
title_full A note on Corona-virus (Covid-19) Infection in Italy
title_fullStr A note on Corona-virus (Covid-19) Infection in Italy
title_full_unstemmed A note on Corona-virus (Covid-19) Infection in Italy
title_short A note on Corona-virus (Covid-19) Infection in Italy
title_sort note on corona-virus (covid-19) infection in italy
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432542/
https://www.ncbi.nlm.nih.gov/pubmed/32834917
http://dx.doi.org/10.1140/epjp/s13360-020-00674-4
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