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,...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | One Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352771422000520 |
| _version_ | 1811178557859168256 |
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| author | Kai Yang Jiali Deng Xiaoli Tuo Shuangfeng Fan Yong Yue Hui Liu Zhijian Liu Shuang Zhang Lingyi Wang Rong Dai Yao Zhao |
| author_facet | Kai Yang Jiali Deng Xiaoli Tuo Shuangfeng Fan Yong Yue Hui Liu Zhijian Liu Shuang Zhang Lingyi Wang Rong Dai Yao Zhao |
| author_sort | Kai Yang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T06:20:22Z |
| format | Article |
| id | doaj.art-24702fa5f56d4c67a1d8e97605fcda90 |
| institution | Directory Open Access Journal |
| issn | 2352-7714 |
| language | English |
| last_indexed | 2024-04-11T06:20:22Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | One Health |
| spelling | doaj.art-24702fa5f56d4c67a1d8e97605fcda902022-12-22T04:40:36ZengElsevierOne Health2352-77142022-12-0115100420Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, ChinaKai Yang0Jiali Deng1Xiaoli Tuo2Shuangfeng Fan3Yong Yue4Hui Liu5Zhijian Liu6Shuang Zhang7Lingyi Wang8Rong Dai9Yao Zhao10Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaDepartment of Orthopaedics, Chengdu Medical College, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of China; Corresponding author.Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaDepartment of Infectious Disease Control, Center for Disease Control and Prevention of Chenghua District, Chengdu, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaChengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu, Sichuan, People's Republic of ChinaWith 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.http://www.sciencedirect.com/science/article/pii/S2352771422000520Close contactEpidemiological characteristicsTracing and managementSpatial distributionDisease conversion |
| spellingShingle | Kai Yang Jiali Deng Xiaoli Tuo Shuangfeng Fan Yong Yue Hui Liu Zhijian Liu Shuang Zhang Lingyi Wang Rong Dai Yao Zhao Analysis of the close contact management mode and epidemiological characteristics of COVID-19 in Chengdu, China One Health Close contact Epidemiological characteristics Tracing and management Spatial distribution Disease conversion |
| 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 | Close contact Epidemiological characteristics Tracing and management Spatial distribution Disease conversion |
| url | http://www.sciencedirect.com/science/article/pii/S2352771422000520 |
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