A Brief Theory of Epidemic Kinetics

In the context of the COVID-19 epidemic, and on the basis of the Theory of Dynamical Systems, we propose a simple theoretical approach for the expansion of contagious diseases, with a particular focus on viral respiratory tracts. The infection develops through contacts between contagious and exposed...

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Main Author: François Louchet
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Biology
Subjects:
Online Access:https://www.mdpi.com/2079-7737/9/6/134
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spelling doaj-eadbb8e47d344b9e95806dd8fd1686452020-11-25T03:29:26ZengMDPI AGBiology2079-77372020-06-01913413410.3390/biology9060134A Brief Theory of Epidemic KineticsFrançois Louchet0Grenoble Institute of Technology and Laboratoire de Glaciologie et de Geophysique de l’Environnement, CNRS, Grenoble University (Retired), 38410 St Martin d’Uriage, FranceIn the context of the COVID-19 epidemic, and on the basis of the Theory of Dynamical Systems, we propose a simple theoretical approach for the expansion of contagious diseases, with a particular focus on viral respiratory tracts. The infection develops through contacts between contagious and exposed people, with a rate proportional to the number of contagious and of non-immune individuals, to contact duration and turnover, inversely proportional to the efficiency of protection measures, and balanced by the average individual recovery response. The obvious initial exponential increase is readily hindered by the growing recovery rate, and also by the size reduction of the exposed population. The system converges towards a stable attractor whose value is expressed in terms of the “reproductive rate” <i>R</i><sub>0</sub>, depending on contamination and recovery factors. Various properties of the attractor are examined, and particularly its relations with <i>R</i><sub>0</sub>. Decreasing this ratio below a critical value leads to a tipping threshold beyond which the epidemic is over. By contrast, significant values of the above ratio may bring the system through a bifurcating hierarchy of stable cycles up to a chaotic behaviour.https://www.mdpi.com/2079-7737/9/6/134epidemicCOVID-19contamination kineticsherd immunitydynamical systemsreproductive rate
collection DOAJ
language English
format Article
sources DOAJ
author François Louchet
spellingShingle François Louchet
A Brief Theory of Epidemic Kinetics
Biology
epidemic
COVID-19
contamination kinetics
herd immunity
dynamical systems
reproductive rate
author_facet François Louchet
author_sort François Louchet
title A Brief Theory of Epidemic Kinetics
title_short A Brief Theory of Epidemic Kinetics
title_full A Brief Theory of Epidemic Kinetics
title_fullStr A Brief Theory of Epidemic Kinetics
title_full_unstemmed A Brief Theory of Epidemic Kinetics
title_sort brief theory of epidemic kinetics
publisher MDPI AG
series Biology
issn 2079-7737
publishDate 2020-06-01
description In the context of the COVID-19 epidemic, and on the basis of the Theory of Dynamical Systems, we propose a simple theoretical approach for the expansion of contagious diseases, with a particular focus on viral respiratory tracts. The infection develops through contacts between contagious and exposed people, with a rate proportional to the number of contagious and of non-immune individuals, to contact duration and turnover, inversely proportional to the efficiency of protection measures, and balanced by the average individual recovery response. The obvious initial exponential increase is readily hindered by the growing recovery rate, and also by the size reduction of the exposed population. The system converges towards a stable attractor whose value is expressed in terms of the “reproductive rate” <i>R</i><sub>0</sub>, depending on contamination and recovery factors. Various properties of the attractor are examined, and particularly its relations with <i>R</i><sub>0</sub>. Decreasing this ratio below a critical value leads to a tipping threshold beyond which the epidemic is over. By contrast, significant values of the above ratio may bring the system through a bifurcating hierarchy of stable cycles up to a chaotic behaviour.
topic epidemic
COVID-19
contamination kinetics
herd immunity
dynamical systems
reproductive rate
url https://www.mdpi.com/2079-7737/9/6/134
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