The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics

Abstract The WHO has described coronavirus disease 2019 (COVID-19) as a pandemic due to the speed and scale of its transmission. Without effective interventions, the rapidly increasing number of COVID-19 cases would greatly increase the burden of clinical treatments. Identifying the transmission sou...

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Autores principales: Caiying Luo, Yue Ma, Pei Jiang, Tao Zhang, Fei Yin
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b1cc4e420aac4b33b7d8b601b71f696c
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spelling oai:doaj.org-article:b1cc4e420aac4b33b7d8b601b71f696c2021-12-02T18:27:49ZThe construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics10.1038/s41598-021-87802-x2045-2322https://doaj.org/article/b1cc4e420aac4b33b7d8b601b71f696c2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87802-xhttps://doaj.org/toc/2045-2322Abstract The WHO has described coronavirus disease 2019 (COVID-19) as a pandemic due to the speed and scale of its transmission. Without effective interventions, the rapidly increasing number of COVID-19 cases would greatly increase the burden of clinical treatments. Identifying the transmission sources and pathways is of vital importance to block transmission and allocate limited public health resources. According to the relationships among cases, we constructed disease transmission network graphs for the COVID-19 epidemic through a visualization technique based on individual reports of epidemiological data. We proposed an analysis strategy of the transmission network with the epidemiological data in Tianjin and Chengdu. The transmission networks showed different transmission characteristics. In Tianjin, an imported case of COVID-19 can produce an average of 2.9 secondary infections and ultimately produce as many as 4 generations of infections, with a maximum of 6 cases being generated before the imported case is identified. In Chengdu, 45 noninformative cases and 24 cases with vague exposure information made accurate information about the transmission network difficult to provide. The proposed analysis framework of visualized transmission networks can trace the transmission source and contacts, assess the current situation of transmission and prevention, and provide evidence for the global response and control of the COVID-19 pandemic.Caiying LuoYue MaPei JiangTao ZhangFei YinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Caiying Luo
Yue Ma
Pei Jiang
Tao Zhang
Fei Yin
The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics
description Abstract The WHO has described coronavirus disease 2019 (COVID-19) as a pandemic due to the speed and scale of its transmission. Without effective interventions, the rapidly increasing number of COVID-19 cases would greatly increase the burden of clinical treatments. Identifying the transmission sources and pathways is of vital importance to block transmission and allocate limited public health resources. According to the relationships among cases, we constructed disease transmission network graphs for the COVID-19 epidemic through a visualization technique based on individual reports of epidemiological data. We proposed an analysis strategy of the transmission network with the epidemiological data in Tianjin and Chengdu. The transmission networks showed different transmission characteristics. In Tianjin, an imported case of COVID-19 can produce an average of 2.9 secondary infections and ultimately produce as many as 4 generations of infections, with a maximum of 6 cases being generated before the imported case is identified. In Chengdu, 45 noninformative cases and 24 cases with vague exposure information made accurate information about the transmission network difficult to provide. The proposed analysis framework of visualized transmission networks can trace the transmission source and contacts, assess the current situation of transmission and prevention, and provide evidence for the global response and control of the COVID-19 pandemic.
format article
author Caiying Luo
Yue Ma
Pei Jiang
Tao Zhang
Fei Yin
author_facet Caiying Luo
Yue Ma
Pei Jiang
Tao Zhang
Fei Yin
author_sort Caiying Luo
title The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics
title_short The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics
title_full The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics
title_fullStr The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics
title_full_unstemmed The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics
title_sort construction and visualization of the transmission networks for covid-19: a potential solution for contact tracing and assessments of epidemics
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b1cc4e420aac4b33b7d8b601b71f696c
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