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Exact properties of SIQR model for COVID-19

The SIQR model is reformulated where compartments for infected and quarantined are redefined so as to be appropriate to COVID-19, and exact properties of the model are presented. It is shown that the maximum number of infected at large depends strongly on the quarantine rate and that the quarantine...

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Autor principal: Odagaki, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680020/
https://www.ncbi.nlm.nih.gov/pubmed/33250562
http://dx.doi.org/10.1016/j.physa.2020.125564
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author Odagaki, Takashi
author_facet Odagaki, Takashi
author_sort Odagaki, Takashi
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description The SIQR model is reformulated where compartments for infected and quarantined are redefined so as to be appropriate to COVID-19, and exact properties of the model are presented. It is shown that the maximum number of infected at large depends strongly on the quarantine rate and that the quarantine measure is more effective than the lockdown measure in controlling the pandemic. The peak of the number of quarantined patients is shown to appear some time later than the time that the number of infected becomes maximum. On the basis of the expected utility theory, a theoretical framework to find out an optimum strategy in the space of lockdown measure and quarantine measure is proposed for minimizing the maximum number of infected and for controlling the outbreak of pandemic at its early stage.
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spelling pubmed-76800202020-11-23 Exact properties of SIQR model for COVID-19 Odagaki, Takashi Physica A Article The SIQR model is reformulated where compartments for infected and quarantined are redefined so as to be appropriate to COVID-19, and exact properties of the model are presented. It is shown that the maximum number of infected at large depends strongly on the quarantine rate and that the quarantine measure is more effective than the lockdown measure in controlling the pandemic. The peak of the number of quarantined patients is shown to appear some time later than the time that the number of infected becomes maximum. On the basis of the expected utility theory, a theoretical framework to find out an optimum strategy in the space of lockdown measure and quarantine measure is proposed for minimizing the maximum number of infected and for controlling the outbreak of pandemic at its early stage. Elsevier B.V. 2021-02-15 2020-11-21 /pmc/articles/PMC7680020/ /pubmed/33250562 http://dx.doi.org/10.1016/j.physa.2020.125564 Text en © 2020 Elsevier B.V. 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
Odagaki, Takashi
Exact properties of SIQR model for COVID-19
title Exact properties of SIQR model for COVID-19
title_full Exact properties of SIQR model for COVID-19
title_fullStr Exact properties of SIQR model for COVID-19
title_full_unstemmed Exact properties of SIQR model for COVID-19
title_short Exact properties of SIQR model for COVID-19
title_sort exact properties of siqr model for covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680020/
https://www.ncbi.nlm.nih.gov/pubmed/33250562
http://dx.doi.org/10.1016/j.physa.2020.125564
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