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Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism
In this study, we propose an evolution law of COVID-19 transmission. An infinite ordered lattice represents population. Epidemic evolution is represented by a wave-like free spread starting from a first case as an epicentre. Free energy of the virus on a given day is defined equal to the natural log...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517754/ https://www.ncbi.nlm.nih.gov/pubmed/32975714 http://dx.doi.org/10.1007/s10237-020-01387-4 |
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author | Limam, Oualid Limam, Mohamed |
author_facet | Limam, Oualid Limam, Mohamed |
author_sort | Limam, Oualid |
collection | PubMed |
description | In this study, we propose an evolution law of COVID-19 transmission. An infinite ordered lattice represents population. Epidemic evolution is represented by a wave-like free spread starting from a first case as an epicentre. Free energy of the virus on a given day is defined equal to the natural logarithm of active infected cases number. We postulate a form of free energy built using thermodynamics of irreversible processes in analogy to isotherm wave propagation in solids and non-local elastic damage behaviour of materials. The proposed expression of daily free energy rate leads to dissipation of propagation introducing a parameter quantifying measures taking by governments to restrict transmission. Entropy daily rate representing disorder produced in the initial system is also explicitly defined. In this context, a simple law of evolution of infected cases as function of time is given in an iterative form. The model predicts different effects on peak of infected cases I(max) and epidemic period, including effects of population size N, effects of measures taking to restrict spread, effects of population density and effect of a parameter T similar to absolute temperature in thermodynamics. Different effects are presented first. The model is then applied to epidemic spread in Tunisia and compared with data registered since the report of the first confirmed case on March 2, 2020. It is shown that the low epidemic size in Tunisia is essentially due to a low population density and relatively strict restriction measures including lockdown and quarantine. |
format | Online Article Text |
id | pubmed-7517754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-75177542020-09-28 Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism Limam, Oualid Limam, Mohamed Biomech Model Mechanobiol Short Communication In this study, we propose an evolution law of COVID-19 transmission. An infinite ordered lattice represents population. Epidemic evolution is represented by a wave-like free spread starting from a first case as an epicentre. Free energy of the virus on a given day is defined equal to the natural logarithm of active infected cases number. We postulate a form of free energy built using thermodynamics of irreversible processes in analogy to isotherm wave propagation in solids and non-local elastic damage behaviour of materials. The proposed expression of daily free energy rate leads to dissipation of propagation introducing a parameter quantifying measures taking by governments to restrict transmission. Entropy daily rate representing disorder produced in the initial system is also explicitly defined. In this context, a simple law of evolution of infected cases as function of time is given in an iterative form. The model predicts different effects on peak of infected cases I(max) and epidemic period, including effects of population size N, effects of measures taking to restrict spread, effects of population density and effect of a parameter T similar to absolute temperature in thermodynamics. Different effects are presented first. The model is then applied to epidemic spread in Tunisia and compared with data registered since the report of the first confirmed case on March 2, 2020. It is shown that the low epidemic size in Tunisia is essentially due to a low population density and relatively strict restriction measures including lockdown and quarantine. Springer Berlin Heidelberg 2020-09-25 2021 /pmc/articles/PMC7517754/ /pubmed/32975714 http://dx.doi.org/10.1007/s10237-020-01387-4 Text en © 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 | Short Communication Limam, Oualid Limam, Mohamed Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism |
title | Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism |
title_full | Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism |
title_fullStr | Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism |
title_full_unstemmed | Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism |
title_short | Contribution to COVID-19 spread modelling: a physical phenomenological dissipative formalism |
title_sort | contribution to covid-19 spread modelling: a physical phenomenological dissipative formalism |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517754/ https://www.ncbi.nlm.nih.gov/pubmed/32975714 http://dx.doi.org/10.1007/s10237-020-01387-4 |
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