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Author:

Guan Lina (Guan Lina.) | Prieur Christophe (Prieur Christophe.) | Zhang Liguo (Zhang Liguo.) (Scholars:张利国) | Prieur Clémentine (Prieur Clémentine.) | Georges Didier (Georges Didier.) | Bellemain Pascal (Bellemain Pascal.)

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PubMed

Abstract:

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.

Keyword:

Optimization Pandemic model COVID-19 Network model

Author Community:

  • [ 1 ] [Guan Lina]Faculty of Information Technology, Beijing University of Technology, 100124, Beijing, China
  • [ 2 ] [Prieur Christophe]Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, F-38000 Grenoble, France
  • [ 3 ] [Zhang Liguo]Faculty of Information Technology, Beijing University of Technology, 100124, Beijing, China
  • [ 4 ] [Prieur Clémentine]Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, 38000 Grenoble, France
  • [ 5 ] [Georges Didier]Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, F-38000 Grenoble, France
  • [ 6 ] [Bellemain Pascal]Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, F-38000 Grenoble, France

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Source :

Annual reviews in control

ISSN: 1367-5788

Year: 2020

Volume: 50

Page: 394-408

9 . 4 0 0

JCR@2022

ESI HC Threshold:115

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 23

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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