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Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China

In this study, corona virus disease 2019 (COVID-19) transmission networks were built to analyze the epidemic situation of COVID-19 in Liaoning and Jilin provinces in early 2020. We explore the characteristics of the spread of COVID-19, and put forward effective recommendations for epidemic preventio...

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Autores principales: Feng, Tianyu, Zhang, Yulong, Sun, Helin, Zhang, He, Sun, Mengzi, Wang, Yudan, Sun, Chong, Li, Kexin, Wang, Yingshuang, Chai, Ruiyu, Zheng, Pingping, Chen, Yang, Pan, Pan, Bi, Chunli, Yao, Yan, Liu, Siyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257828/
https://www.ncbi.nlm.nih.gov/pubmed/34190148
http://dx.doi.org/10.1097/MD.0000000000026298
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author Feng, Tianyu
Zhang, Yulong
Sun, Helin
Zhang, He
Sun, Mengzi
Wang, Yudan
Sun, Chong
Li, Kexin
Wang, Yingshuang
Chai, Ruiyu
Zheng, Pingping
Chen, Yang
Pan, Pan
Bi, Chunli
Yao, Yan
Liu, Siyu
author_facet Feng, Tianyu
Zhang, Yulong
Sun, Helin
Zhang, He
Sun, Mengzi
Wang, Yudan
Sun, Chong
Li, Kexin
Wang, Yingshuang
Chai, Ruiyu
Zheng, Pingping
Chen, Yang
Pan, Pan
Bi, Chunli
Yao, Yan
Liu, Siyu
author_sort Feng, Tianyu
collection PubMed
description In this study, corona virus disease 2019 (COVID-19) transmission networks were built to analyze the epidemic situation of COVID-19 in Liaoning and Jilin provinces in early 2020. We explore the characteristics of the spread of COVID-19, and put forward effective recommendations for epidemic prevention and control. We collected demographic characteristics, exposure history, and course of action of COVID-19 cases. We described the demographic and case characteristics of these cases to show the basic characteristics of COVID-19 cases in both provinces. Combined with the spatial analysis of confirmed cases, the distribution law of the number of confirmed cases in different regions was analyzed. We exhibit the relationship among COVID-19 cases with a transmission network. The transmission characteristics of COVID-19 were analyzed through the transmission network. Mainly cases in Liaoning and Jilin provinces were imported cases from other provinces and the vast majority of these cases were related to Hubei province. The number of confirmed cases in different regions was positively correlated with their GDP and population. The main clinical symptoms of the cases were fever. Judge from the transmission network relationship between the 2 provinces, the transmission chain in Liaoning province contains fewer cases than that in Jilin province. The main transmission routes of the local cases in the 2 provinces were the family members, and the infection of the imported cases were mainly occurred in public places. It was estimated that the unidentified asymptomatic infected cases in the 2 provinces account for approximately 7.3% of the total number of infected cases. The length of the transmission chain suggests that the spread of COVID-19 can be effectively controlled with effective prevention measures.
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spelling pubmed-82578282021-07-08 Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China Feng, Tianyu Zhang, Yulong Sun, Helin Zhang, He Sun, Mengzi Wang, Yudan Sun, Chong Li, Kexin Wang, Yingshuang Chai, Ruiyu Zheng, Pingping Chen, Yang Pan, Pan Bi, Chunli Yao, Yan Liu, Siyu Medicine (Baltimore) 4400 In this study, corona virus disease 2019 (COVID-19) transmission networks were built to analyze the epidemic situation of COVID-19 in Liaoning and Jilin provinces in early 2020. We explore the characteristics of the spread of COVID-19, and put forward effective recommendations for epidemic prevention and control. We collected demographic characteristics, exposure history, and course of action of COVID-19 cases. We described the demographic and case characteristics of these cases to show the basic characteristics of COVID-19 cases in both provinces. Combined with the spatial analysis of confirmed cases, the distribution law of the number of confirmed cases in different regions was analyzed. We exhibit the relationship among COVID-19 cases with a transmission network. The transmission characteristics of COVID-19 were analyzed through the transmission network. Mainly cases in Liaoning and Jilin provinces were imported cases from other provinces and the vast majority of these cases were related to Hubei province. The number of confirmed cases in different regions was positively correlated with their GDP and population. The main clinical symptoms of the cases were fever. Judge from the transmission network relationship between the 2 provinces, the transmission chain in Liaoning province contains fewer cases than that in Jilin province. The main transmission routes of the local cases in the 2 provinces were the family members, and the infection of the imported cases were mainly occurred in public places. It was estimated that the unidentified asymptomatic infected cases in the 2 provinces account for approximately 7.3% of the total number of infected cases. The length of the transmission chain suggests that the spread of COVID-19 can be effectively controlled with effective prevention measures. Lippincott Williams & Wilkins 2021-07-02 /pmc/articles/PMC8257828/ /pubmed/34190148 http://dx.doi.org/10.1097/MD.0000000000026298 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 4400
Feng, Tianyu
Zhang, Yulong
Sun, Helin
Zhang, He
Sun, Mengzi
Wang, Yudan
Sun, Chong
Li, Kexin
Wang, Yingshuang
Chai, Ruiyu
Zheng, Pingping
Chen, Yang
Pan, Pan
Bi, Chunli
Yao, Yan
Liu, Siyu
Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China
title Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China
title_full Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China
title_fullStr Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China
title_full_unstemmed Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China
title_short Epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast China
title_sort epidemiological study on severe acute respiratory syndrome coronavirus 2 virus transmission network in northeast china
topic 4400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257828/
https://www.ncbi.nlm.nih.gov/pubmed/34190148
http://dx.doi.org/10.1097/MD.0000000000026298
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