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[Analysis on medical observation of 1 665 close contacts of COVID-19 cases].
Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Dec 10; 41(12):2020-2023.ZL

Abstract

Objective: To understand the identification and medical observation of close contacts of COVID-19 cases in a city and provide scientific basis for the adjustment of the epidemic prevention and control strategies. Methods: Descriptive epidemiological methods were used to analyze the general characteristics of all the close contacts of COVID-19 cases in a city. Throat swabs were collected from the close contacts for real-time fluorescent RT-PCR. The confirmed cases were diagnosed according to diagnosis and treatment of COVID-19 (trial version 5). Results: Among the 1 665 close contacts of COVID-19 cases in a city, 10 were diagnosed as COVID-19 cases during the medical observation period, accounting for 30.30% of all the confirmed cases in a city, most of them were close relatives of the confirmed cases. The longest contact time with the confirmed cases was 8 days and the shortest was 0 days. Ten COVID-19 cases in close contacts constituted to six family clusters. Conclusions: In COVID-19 prevention and control in a city, the active tracking of the transmission chains of the confirmed cases and timely identification of the close contacts were conducted. The people who had close contacts with the confirmed COVID-19 cases within 14 days before onset were all placed under medical observation, which played a key role in the effective prevention and control of COVID-19 epidemic in a city. Nearly one third of COVID-19 cases occurred during the medical observation period, so the infection sources were effectively controlled and transmission routes were effectively blocked, which greatly facilitated the prevention of the clusters of COVID-19 cases.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

Yinchuan Municipal Center for Disease Control and Prevention, Ningxia Hui Autonomous Region, Yinchuan 750001, China.

MeSH

COVID-19ChinaCitiesContact TracingEpidemicsHumansReal-Time Polymerase Chain Reaction

Pub Type(s)

Journal Article

Language

chi

PubMed ID

33378812

Citation

Ma, Q L., et al. "[Analysis On Medical Observation of 1 665 Close Contacts of COVID-19 Cases]." Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, vol. 41, no. 12, 2020, pp. 2020-2023.

Ma QL, Li P, Chen XL, et al. [Analysis on medical observation of 1 665 close contacts of COVID-19 cases]. Zhonghua Liu Xing Bing Xue Za Zhi. 2020;41(12):2020-2023.

Ma, Q. L., Li, P., Chen, X. L., Wu, Z. J., Liu, C. P., Wang, X. X., Wu, W. J., & Li, H. Y. (2020). [Analysis on medical observation of 1 665 close contacts of COVID-19 cases]. Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi, 41(12), 2020-2023. https://doi.org/10.3760/cma.j.cn112338-20200227-00197

Ma QL, et al. [Analysis On Medical Observation of 1 665 Close Contacts of COVID-19 Cases]. Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Dec 10;41(12):2020-2023. PubMed PMID: 33378812.

* Article titles in AMA citation format should be in sentence-case

TY - JOUR T1 - [Analysis on medical observation of 1 665 close contacts of COVID-19 cases]. AU - Ma,Q L, AU - Li,P, AU - Chen,X L, AU - Wu,Z J, AU - Liu,C P, AU - Wang,X X, AU - Wu,W J, AU - Li,H Y, PY - 2020/12/30/entrez PY - 2020/12/31/pubmed PY - 2021/1/6/medline KW - COVID-19 KW - Close contact KW - Medical observation SP - 2020 EP - 2023 JF - Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi JO - Zhonghua Liu Xing Bing Xue Za Zhi VL - 41 IS - 12 N2 - Objective: To understand the identification and medical observation of close contacts of COVID-19 cases in a city and provide scientific basis for the adjustment of the epidemic prevention and control strategies. Methods: Descriptive epidemiological methods were used to analyze the general characteristics of all the close contacts of COVID-19 cases in a city. Throat swabs were collected from the close contacts for real-time fluorescent RT-PCR. The confirmed cases were diagnosed according to diagnosis and treatment of COVID-19 (trial version 5). Results: Among the 1 665 close contacts of COVID-19 cases in a city, 10 were diagnosed as COVID-19 cases during the medical observation period, accounting for 30.30% of all the confirmed cases in a city, most of them were close relatives of the confirmed cases. The longest contact time with the confirmed cases was 8 days and the shortest was 0 days. Ten COVID-19 cases in close contacts constituted to six family clusters. Conclusions: In COVID-19 prevention and control in a city, the active tracking of the transmission chains of the confirmed cases and timely identification of the close contacts were conducted. The people who had close contacts with the confirmed COVID-19 cases within 14 days before onset were all placed under medical observation, which played a key role in the effective prevention and control of COVID-19 epidemic in a city. Nearly one third of COVID-19 cases occurred during the medical observation period, so the infection sources were effectively controlled and transmission routes were effectively blocked, which greatly facilitated the prevention of the clusters of COVID-19 cases. SN - 0254-6450 UR - https://www.unboundmedicine.com/medline/citation/33378812/[Analysis_on_medical_observation_of_1_665_close_contacts_of_COVID_19_cases]_ DB - PRIME DP - Unbound Medicine ER -