Epidemiological study of a family cluster of coronavirus disease 2019 in Fangshan District， Beijing
10.19428/j.cnki.sjpm.2021.20708
- VernacularTitle:北京市房山区一起新型冠状病毒肺炎家庭聚集性疫情流行病学调查
- Author:
Ke-wen WEI
1
;
Li-li LI
1
;
Zhong-hui MA
1
;
Jing TIAN
1
;
Zhen KAN
1
;
Shao-ping HUANG
1
Author Information
1. Department for Infectious and Endemic Diseases Control，Fangshan District Center for Disease Control and Prevention， Beijing 102488， China
- Publication Type:Research Article
- Keywords:
corona virus disease 2019;
2019 novel coronavirus;
cluster;
epidemiological characteristics;
case management
- From:
Shanghai Journal of Preventive Medicine
2021;33(10):935-939
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To conduct epidemiological investigation of a family cluster of coronavirus disease 2019 （COVID-19） in Fangshan District， Beijing， so as to provide reference and scientific basis for the strategy of prevention and control. Methods:Based on the "Prevention and Control Plan for COVID-19 （Third Edition）"issued by the National Health Commission of China， two cases from the same family were studied by field epidemiological investigation method. Sputum and/or throat swab specimens were collected and sent to the laboratory of Fangshan District Center for Disease Control and Prevention （CDC） for nucleic acid detection of 2019 novel coronavirus （2019-nCoV）. Tracking close contacts and isolation observation were conducted. Results:Both sputum and throat swab specimens of case 1 were positive for 2019-nCoV nucleic acid on February 3rd， 2020. Case 2 （wife of case 1） received screening as a close contact， and throat swab specimen was positive on February 4th， 2020. Therefore， it was determined to be a family cluster. The epidemic was effectively controlled after a series of measures， including isolation treatment， medical observation according to management of close contact and terminal disinfection of residence. Conclusion:The CDC professionals should strengthen monitoring of new findings， comprehensively analyze case data based on the latest research trends， improve professional sensitivity， and conduct timely screening to detect cases as soon as possible for the prevention of further epidemic spreading.
