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Transport effect of COVID-19 pandemic in France()

An extension of the classical pandemic SIRD model is considered for the regional spread of COVID-19 in France under lockdown strategies. This compartment model divides the infected and the recovered individuals into undetected and detected compartments respectively. By fitting the extended model to...

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Autores principales: Guan, Lina, Prieur, Christophe, Zhang, Liguo, Prieur, Clémentine, Georges, Didier, Bellemain, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7534839/
https://www.ncbi.nlm.nih.gov/pubmed/33041633
http://dx.doi.org/10.1016/j.arcontrol.2020.09.009
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author Guan, Lina
Prieur, Christophe
Zhang, Liguo
Prieur, Clémentine
Georges, Didier
Bellemain, Pascal
author_facet Guan, Lina
Prieur, Christophe
Zhang, Liguo
Prieur, Clémentine
Georges, Didier
Bellemain, Pascal
author_sort Guan, Lina
collection PubMed
description An extension of the classical pandemic SIRD model is considered for the regional spread of COVID-19 in France under lockdown strategies. This compartment model divides the infected and the recovered individuals into undetected and detected compartments respectively. By fitting the extended model to the real detected data during the lockdown, an optimization algorithm is used to derive the optimal parameters, the initial condition and the epidemics start date of regions in France. Considering all the age classes together, a network model of the pandemic transport between regions in France is presented on the basis of the regional extended model and is simulated to reveal the transport effect of COVID-19 pandemic after lockdown. Using the measured values of displacement of people between cities, the pandemic network of all cities in France is simulated by using the same model and method as the pandemic network of regions. Finally, a discussion on an integro-differential equation is given and a new model for the network pandemic model of each age class is provided.
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spelling pubmed-75348392020-10-06 Transport effect of COVID-19 pandemic in France() Guan, Lina Prieur, Christophe Zhang, Liguo Prieur, Clémentine Georges, Didier Bellemain, Pascal Annu Rev Control Article An extension of the classical pandemic SIRD model is considered for the regional spread of COVID-19 in France under lockdown strategies. This compartment model divides the infected and the recovered individuals into undetected and detected compartments respectively. By fitting the extended model to the real detected data during the lockdown, an optimization algorithm is used to derive the optimal parameters, the initial condition and the epidemics start date of regions in France. Considering all the age classes together, a network model of the pandemic transport between regions in France is presented on the basis of the regional extended model and is simulated to reveal the transport effect of COVID-19 pandemic after lockdown. Using the measured values of displacement of people between cities, the pandemic network of all cities in France is simulated by using the same model and method as the pandemic network of regions. Finally, a discussion on an integro-differential equation is given and a new model for the network pandemic model of each age class is provided. Elsevier Ltd. 2020 2020-10-05 /pmc/articles/PMC7534839/ /pubmed/33041633 http://dx.doi.org/10.1016/j.arcontrol.2020.09.009 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Guan, Lina
Prieur, Christophe
Zhang, Liguo
Prieur, Clémentine
Georges, Didier
Bellemain, Pascal
Transport effect of COVID-19 pandemic in France()
title Transport effect of COVID-19 pandemic in France()
title_full Transport effect of COVID-19 pandemic in France()
title_fullStr Transport effect of COVID-19 pandemic in France()
title_full_unstemmed Transport effect of COVID-19 pandemic in France()
title_short Transport effect of COVID-19 pandemic in France()
title_sort transport effect of covid-19 pandemic in france()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7534839/
https://www.ncbi.nlm.nih.gov/pubmed/33041633
http://dx.doi.org/10.1016/j.arcontrol.2020.09.009
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