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COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model
Based on the characteristic of the COVID-19 asymptomatic infection, and due to the shortage of traditional mathematical models of transmission dynamics of infectious diseases, we propose a new SAIR model. This SAIR model fully considers the infectious characteristics of asymptomatic cases and the tr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142714/ http://dx.doi.org/10.1016/j.csfx.2021.100060 |
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author | Ying, Liu Xiaoqing, Tang |
author_facet | Ying, Liu Xiaoqing, Tang |
author_sort | Ying, Liu |
collection | PubMed |
description | Based on the characteristic of the COVID-19 asymptomatic infection, and due to the shortage of traditional mathematical models of transmission dynamics of infectious diseases, we propose a new SAIR model. This SAIR model fully considers the infectious characteristics of asymptomatic cases and the transformation characteristics between the four kinds case. According to the data released by the National Health Commission of P.R.C, the model parameters are calculated, and the transmission process of the COVID-19 is simulated dynamically. It is found that the SAIR model data are in good agreement with the actual data, and the time characteristics of the infection rate are particularly accurate, proving the accuracy and effectiveness of the model. Then, on the basis of the differences between the model data and the real data, the standard deviation of the error is calculated. From the standard deviation, the functional intervals of the confirmed infection rate and the asymptomatic infection rate, the interval of the total number of cases in the model, and the interval of the number of asymptomatic cases in the society are also calculated. The number of asymptomatic cases in society is of important and realistic significance for the assessment of risk and subsequent control measures. Then, according to the dynamic simulation data of the model with changed value of parameters, the remarkable effects of strict quarantines are discussed. Finally, the possible direction of further study is given. |
format | Online Article Text |
id | pubmed-8142714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81427142021-05-25 COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model Ying, Liu Xiaoqing, Tang Chaos, Solitons & Fractals: X Article Based on the characteristic of the COVID-19 asymptomatic infection, and due to the shortage of traditional mathematical models of transmission dynamics of infectious diseases, we propose a new SAIR model. This SAIR model fully considers the infectious characteristics of asymptomatic cases and the transformation characteristics between the four kinds case. According to the data released by the National Health Commission of P.R.C, the model parameters are calculated, and the transmission process of the COVID-19 is simulated dynamically. It is found that the SAIR model data are in good agreement with the actual data, and the time characteristics of the infection rate are particularly accurate, proving the accuracy and effectiveness of the model. Then, on the basis of the differences between the model data and the real data, the standard deviation of the error is calculated. From the standard deviation, the functional intervals of the confirmed infection rate and the asymptomatic infection rate, the interval of the total number of cases in the model, and the interval of the number of asymptomatic cases in the society are also calculated. The number of asymptomatic cases in society is of important and realistic significance for the assessment of risk and subsequent control measures. Then, according to the dynamic simulation data of the model with changed value of parameters, the remarkable effects of strict quarantines are discussed. Finally, the possible direction of further study is given. The Authors. Published by Elsevier Ltd. 2021-06 2021-05-24 /pmc/articles/PMC8142714/ http://dx.doi.org/10.1016/j.csfx.2021.100060 Text en © 2021 The Authors 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 Ying, Liu Xiaoqing, Tang COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model |
title | COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model |
title_full | COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model |
title_fullStr | COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model |
title_full_unstemmed | COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model |
title_short | COVID-19: Is it safe now? Study of asymptomatic infection spread and quantity risk based on SAIR model |
title_sort | covid-19: is it safe now? study of asymptomatic infection spread and quantity risk based on sair model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142714/ http://dx.doi.org/10.1016/j.csfx.2021.100060 |
work_keys_str_mv | AT yingliu covid19isitsafenowstudyofasymptomaticinfectionspreadandquantityriskbasedonsairmodel AT xiaoqingtang covid19isitsafenowstudyofasymptomaticinfectionspreadandquantityriskbasedonsairmodel |