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Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China
Introduction: Close contacts have become a potential threat to the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to understand the epidemiological characteristics of close contacts of confirmed or suspected cases of COVID-19 in the surrounding cities of Chengdu, China,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714902/ https://www.ncbi.nlm.nih.gov/pubmed/34976905 http://dx.doi.org/10.3389/fpubh.2021.645798 |
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author | Yang, Kai Deng, Jiali Wang, Liang Jiang, Shan Lu, Rong Liu, Zhijian Tuo, Xiaoli |
author_facet | Yang, Kai Deng, Jiali Wang, Liang Jiang, Shan Lu, Rong Liu, Zhijian Tuo, Xiaoli |
author_sort | Yang, Kai |
collection | PubMed |
description | Introduction: Close contacts have become a potential threat to the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to understand the epidemiological characteristics of close contacts of confirmed or suspected cases of COVID-19 in the surrounding cities of Chengdu, China, so as to provide a basis for the management strategy of close contacts. Methods: Close contacts were determined through epidemiological investigation of indicated cases, and relevant information was entered in the “Close Contact Information Management System.” Retrospective data of close contacts from January 22 to May 1, 2020 were collected and organized. Meanwhile, the contact mode, isolation mode, and medical outcome of close contacts were descriptively analyzed. Results: A total of 986 close contacts were effectively traced, with an average age of (36.69 ± 16.86) years old, who were mainly distributed in cities of eastern Chengdu. The frequency of contact was mainly occasional contact, 80.42% of them were relatives and public transportation personnel. Besides, the time of tracking close contacts and feedback was (10.64 ± 5.52) and (7.19 ± 6.11) days, respectively. A total of seven close contacts were converted to confirmed cases. Conclusions: Close contacts of COVID-19 have a risk of invisible infection. Early control of close contacts may be helpful to control the epidemic of COVID-19. |
format | Online Article Text |
id | pubmed-8714902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87149022021-12-30 Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China Yang, Kai Deng, Jiali Wang, Liang Jiang, Shan Lu, Rong Liu, Zhijian Tuo, Xiaoli Front Public Health Public Health Introduction: Close contacts have become a potential threat to the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to understand the epidemiological characteristics of close contacts of confirmed or suspected cases of COVID-19 in the surrounding cities of Chengdu, China, so as to provide a basis for the management strategy of close contacts. Methods: Close contacts were determined through epidemiological investigation of indicated cases, and relevant information was entered in the “Close Contact Information Management System.” Retrospective data of close contacts from January 22 to May 1, 2020 were collected and organized. Meanwhile, the contact mode, isolation mode, and medical outcome of close contacts were descriptively analyzed. Results: A total of 986 close contacts were effectively traced, with an average age of (36.69 ± 16.86) years old, who were mainly distributed in cities of eastern Chengdu. The frequency of contact was mainly occasional contact, 80.42% of them were relatives and public transportation personnel. Besides, the time of tracking close contacts and feedback was (10.64 ± 5.52) and (7.19 ± 6.11) days, respectively. A total of seven close contacts were converted to confirmed cases. Conclusions: Close contacts of COVID-19 have a risk of invisible infection. Early control of close contacts may be helpful to control the epidemic of COVID-19. Frontiers Media S.A. 2021-12-15 /pmc/articles/PMC8714902/ /pubmed/34976905 http://dx.doi.org/10.3389/fpubh.2021.645798 Text en Copyright © 2021 Yang, Deng, Wang, Jiang, Lu, Liu and Tuo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Yang, Kai Deng, Jiali Wang, Liang Jiang, Shan Lu, Rong Liu, Zhijian Tuo, Xiaoli Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China |
title | Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China |
title_full | Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China |
title_fullStr | Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China |
title_full_unstemmed | Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China |
title_short | Tracing Management and Epidemiological Characteristics of COVID-19 Close Contacts in Cities Around Chengdu, China |
title_sort | tracing management and epidemiological characteristics of covid-19 close contacts in cities around chengdu, china |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714902/ https://www.ncbi.nlm.nih.gov/pubmed/34976905 http://dx.doi.org/10.3389/fpubh.2021.645798 |
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