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Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China

With the development of the novel coronavirus disease 2019 (COVID-19) epidemic and the increase in cases, as a potential source of infection, the risk of close contact has gradually increased. However, few studies have analyzed the tracking and management of cross-regional personnel. In this study,...

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Autores principales: Yang, Kai, Deng, Jiali, Tuo, Xiaoli, Fan, Shuangfeng, Yue, Yong, Liu, Hui, Liu, Zhijian, Zhang, Shuang, Wang, Lingyi, Dai, Rong, Zhao, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323207/
https://www.ncbi.nlm.nih.gov/pubmed/35910302
http://dx.doi.org/10.1016/j.onehlt.2022.100420
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author Yang, Kai
Deng, Jiali
Tuo, Xiaoli
Fan, Shuangfeng
Yue, Yong
Liu, Hui
Liu, Zhijian
Zhang, Shuang
Wang, Lingyi
Dai, Rong
Zhao, Yao
author_facet Yang, Kai
Deng, Jiali
Tuo, Xiaoli
Fan, Shuangfeng
Yue, Yong
Liu, Hui
Liu, Zhijian
Zhang, Shuang
Wang, Lingyi
Dai, Rong
Zhao, Yao
author_sort Yang, Kai
collection PubMed
description With the development of the novel coronavirus disease 2019 (COVID-19) epidemic and the increase in cases, as a potential source of infection, the risk of close contact has gradually increased. However, few studies have analyzed the tracking and management of cross-regional personnel. In this study, we hope to understand the effectiveness and feasibility of existing close contact management measures in Chengdu, so as to provide a reference for further prevention and control of the epidemic. The close contact management mode and epidemiological characteristics of 40,425 close contacts from January 22, 2020, to March 1, 2022, in Chengdu, China, were analyzed. The relationship with index cases was mainly co-passengers (57.58%) and relatives (7.20%), and the frequency of contact was mainly occasional contact (70.39%). A total of 400 (0.99%) close contacts were converted into cases, which were mainly found in the first and second nucleic acid tests (53.69%), and the contact mode was mainly by sharing transportation (63.82%). In terms of close contact management time, both the supposed ((11.93 ± 3.00) days vs. (11.92 ± 7.24) days) and actual ((13.74 ± 17.47) days vs. (12.60 ± 4.35) days) isolation times in Chengdu were longer than those of the outer cities (P < 0.001). For the local clustered epidemics in Chengdu, the relationship with indexed cases was mainly colleagues (12.70%). The tracing and management of close contacts is a two-way management measure that requires cooperation among departments. Enhancing existing monitoring and response capabilities can control the spread of the epidemic to a certain extent.
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spelling pubmed-93232072022-07-27 Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China Yang, Kai Deng, Jiali Tuo, Xiaoli Fan, Shuangfeng Yue, Yong Liu, Hui Liu, Zhijian Zhang, Shuang Wang, Lingyi Dai, Rong Zhao, Yao One Health Research Paper With the development of the novel coronavirus disease 2019 (COVID-19) epidemic and the increase in cases, as a potential source of infection, the risk of close contact has gradually increased. However, few studies have analyzed the tracking and management of cross-regional personnel. In this study, we hope to understand the effectiveness and feasibility of existing close contact management measures in Chengdu, so as to provide a reference for further prevention and control of the epidemic. The close contact management mode and epidemiological characteristics of 40,425 close contacts from January 22, 2020, to March 1, 2022, in Chengdu, China, were analyzed. The relationship with index cases was mainly co-passengers (57.58%) and relatives (7.20%), and the frequency of contact was mainly occasional contact (70.39%). A total of 400 (0.99%) close contacts were converted into cases, which were mainly found in the first and second nucleic acid tests (53.69%), and the contact mode was mainly by sharing transportation (63.82%). In terms of close contact management time, both the supposed ((11.93 ± 3.00) days vs. (11.92 ± 7.24) days) and actual ((13.74 ± 17.47) days vs. (12.60 ± 4.35) days) isolation times in Chengdu were longer than those of the outer cities (P < 0.001). For the local clustered epidemics in Chengdu, the relationship with indexed cases was mainly colleagues (12.70%). The tracing and management of close contacts is a two-way management measure that requires cooperation among departments. Enhancing existing monitoring and response capabilities can control the spread of the epidemic to a certain extent. Elsevier 2022-07-26 /pmc/articles/PMC9323207/ /pubmed/35910302 http://dx.doi.org/10.1016/j.onehlt.2022.100420 Text en © 2022 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 Research Paper
Yang, Kai
Deng, Jiali
Tuo, Xiaoli
Fan, Shuangfeng
Yue, Yong
Liu, Hui
Liu, Zhijian
Zhang, Shuang
Wang, Lingyi
Dai, Rong
Zhao, Yao
Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China
title Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China
title_full Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China
title_fullStr Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China
title_full_unstemmed Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China
title_short Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China
title_sort analysis of the close contact management mode and epidemiological characteristics of covid-19 in chengdu, china
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9323207/
https://www.ncbi.nlm.nih.gov/pubmed/35910302
http://dx.doi.org/10.1016/j.onehlt.2022.100420
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