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Model of epidemic control based on quarantine and message delivery

The model provides two novel strategies for the preventive control of epidemic diseases. One approach is related to the different isolating rates in latent period and invasion period. Experiments show that the increasing of isolating rates in invasion period, as long as over 0.5, contributes little...

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Detalles Bibliográficos
Autores principales: Wang, Xingyuan, Zhao, Tianfang, Qin, Xiaomeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127083/
https://www.ncbi.nlm.nih.gov/pubmed/32288100
http://dx.doi.org/10.1016/j.physa.2016.04.009
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author Wang, Xingyuan
Zhao, Tianfang
Qin, Xiaomeng
author_facet Wang, Xingyuan
Zhao, Tianfang
Qin, Xiaomeng
author_sort Wang, Xingyuan
collection PubMed
description The model provides two novel strategies for the preventive control of epidemic diseases. One approach is related to the different isolating rates in latent period and invasion period. Experiments show that the increasing of isolating rates in invasion period, as long as over 0.5, contributes little to the preventing of epidemic; the improvement of isolation rate in latent period is key to control the disease spreading. Another is a specific mechanism of message delivering and forwarding. Information quality and information accumulating process are also considered there. Macroscopically, diseases are easy to control as long as the immune messages reach a certain quality. Individually, the accumulating messages bring people with certain immunity to the disease. Also, the model is performed on the classic complex networks like scale-free network and small-world network, and location-based social networks. Results show that the proposed measures demonstrate superior performance and significantly reduce the negative impact of epidemic disease.
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spelling pubmed-71270832020-04-08 Model of epidemic control based on quarantine and message delivery Wang, Xingyuan Zhao, Tianfang Qin, Xiaomeng Physica A Article The model provides two novel strategies for the preventive control of epidemic diseases. One approach is related to the different isolating rates in latent period and invasion period. Experiments show that the increasing of isolating rates in invasion period, as long as over 0.5, contributes little to the preventing of epidemic; the improvement of isolation rate in latent period is key to control the disease spreading. Another is a specific mechanism of message delivering and forwarding. Information quality and information accumulating process are also considered there. Macroscopically, diseases are easy to control as long as the immune messages reach a certain quality. Individually, the accumulating messages bring people with certain immunity to the disease. Also, the model is performed on the classic complex networks like scale-free network and small-world network, and location-based social networks. Results show that the proposed measures demonstrate superior performance and significantly reduce the negative impact of epidemic disease. Elsevier B.V. 2016-09-15 2016-04-20 /pmc/articles/PMC7127083/ /pubmed/32288100 http://dx.doi.org/10.1016/j.physa.2016.04.009 Text en © 2016 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
Wang, Xingyuan
Zhao, Tianfang
Qin, Xiaomeng
Model of epidemic control based on quarantine and message delivery
title Model of epidemic control based on quarantine and message delivery
title_full Model of epidemic control based on quarantine and message delivery
title_fullStr Model of epidemic control based on quarantine and message delivery
title_full_unstemmed Model of epidemic control based on quarantine and message delivery
title_short Model of epidemic control based on quarantine and message delivery
title_sort model of epidemic control based on quarantine and message delivery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127083/
https://www.ncbi.nlm.nih.gov/pubmed/32288100
http://dx.doi.org/10.1016/j.physa.2016.04.009
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