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Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases

In 2020, an unexpectedly large outbreak of the coronavirus disease 2019 (COVID-19) epidemic was reported in mainland China. As we known, the epidemic was caused by imported cases in other provinces of China except for Hubei in 2020. In this paper, we developed a differential equation model with trac...

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Detalles Bibliográficos
Autores principales: Li, Ming-Tao, Cui, Jin, Zhang, Juan, Sun, Gui-Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010348/
https://www.ncbi.nlm.nih.gov/pubmed/33821224
http://dx.doi.org/10.1016/j.idm.2021.03.007
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author Li, Ming-Tao
Cui, Jin
Zhang, Juan
Sun, Gui-Quan
author_facet Li, Ming-Tao
Cui, Jin
Zhang, Juan
Sun, Gui-Quan
author_sort Li, Ming-Tao
collection PubMed
description In 2020, an unexpectedly large outbreak of the coronavirus disease 2019 (COVID-19) epidemic was reported in mainland China. As we known, the epidemic was caused by imported cases in other provinces of China except for Hubei in 2020. In this paper, we developed a differential equation model with tracing isolation strategy with close contacts of newly confirmed cases and discrete time imported cases, to perform assessment and risk analysis for COVID-19 outbreaks in Tianjin and Chongqing city. Firstly, the model behavior without imported cases was given. Then, the real-time regeneration number in Tianjin and Chongqing city revealed a trend of rapidly rising, and then falling fast. Finally, sensitivity analysis demonstrates that the earlier with Wuhan lock-down, the fewer cases in these two cities. One can obtain that the tracing isolation of close contacts of newly confirmed cases could effectively control the spread of the disease. But it is not sensitive for the more contact tracing isolation days on confirmed cases, the fewer cases. Our investigation model could be potentially helpful to provide model building technology for the transmission of COVID-19.
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spelling pubmed-80103482021-03-31 Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases Li, Ming-Tao Cui, Jin Zhang, Juan Sun, Gui-Quan Infect Dis Model Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu In 2020, an unexpectedly large outbreak of the coronavirus disease 2019 (COVID-19) epidemic was reported in mainland China. As we known, the epidemic was caused by imported cases in other provinces of China except for Hubei in 2020. In this paper, we developed a differential equation model with tracing isolation strategy with close contacts of newly confirmed cases and discrete time imported cases, to perform assessment and risk analysis for COVID-19 outbreaks in Tianjin and Chongqing city. Firstly, the model behavior without imported cases was given. Then, the real-time regeneration number in Tianjin and Chongqing city revealed a trend of rapidly rising, and then falling fast. Finally, sensitivity analysis demonstrates that the earlier with Wuhan lock-down, the fewer cases in these two cities. One can obtain that the tracing isolation of close contacts of newly confirmed cases could effectively control the spread of the disease. But it is not sensitive for the more contact tracing isolation days on confirmed cases, the fewer cases. Our investigation model could be potentially helpful to provide model building technology for the transmission of COVID-19. KeAi Publishing 2021-03-31 /pmc/articles/PMC8010348/ /pubmed/33821224 http://dx.doi.org/10.1016/j.idm.2021.03.007 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
Li, Ming-Tao
Cui, Jin
Zhang, Juan
Sun, Gui-Quan
Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases
title Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases
title_full Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases
title_fullStr Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases
title_full_unstemmed Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases
title_short Transmission analysis of COVID-19 with discrete time imported cases: Tianjin and Chongqing as cases
title_sort transmission analysis of covid-19 with discrete time imported cases: tianjin and chongqing as cases
topic Special issue on Modelling and Forecasting the 2019 Novel Coronavirus (2019-nCoV) Transmission; Edited by Prof. Carlos Castillo-Chavez, Prof. Gerardo Chowell-Puente, Prof. Ping Yan, Prof. Jianhong Wu
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010348/
https://www.ncbi.nlm.nih.gov/pubmed/33821224
http://dx.doi.org/10.1016/j.idm.2021.03.007
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