Analysis on medical observation of 1 665 close contacts of COVID-19 cases
10.3760/cma.j.cn112338-20200227-00197
- VernacularTitle:1 665名新型冠状病毒肺炎密切接触者医学观察情况分析
- Author:
Qiling MA
1
;
Ping LI
;
Xiaoli CHEN
;
Zhenjun WU
;
Caiping LIU
;
Xiaoxia WANG
;
Wenjun WU
;
Hongyu LI
Author Information
1. 宁夏回族自治区银川市疾病预防控制中心 750001
- Keywords:
COVID-19;
Close contact;
Medical observation
- From:
Chinese Journal of Epidemiology
2020;41(12):2020-2023
- CountryChina
- Language:Chinese
-
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.
