|
|
Features of close contacts of COVID-19 cases in Jiulongpo District |
CHEN Cheng, XIA Yunli, SUN Yajun, LEI Peng, XIAO Lun
|
Jiulongpo Center for Disease Control and Prevention, Chongqing 400039, China |
|
|
Abstract Objective To explore the features of close contacts of coronavirus disease 2019 ( COVID-19 ) cases in Jiulongpo District, Chongqing, so as to provide evidence for the management of close contacts and the control of the epidemic. Methods Demographic characteristics, contact history and medical records of close contacts of COVID-19 cases in Jiulongpo District from January 22 to April 10, 2020 was collected according to the COVID-19 Prevention and Control Program ( sixth version ) . Descriptive statistical analysis was performed. Results Totally 602 close contacts were found, and 30 of them were infected, with an attack rate of 4.98%. Twenty-seven cases were diagnosed before February 10. The close contacts mainly aged from 20 to 59 years ( 457, 75.91% ) ; most were relatives of COVID-19 cases ( 219, 36.38% ) , and 64 (10.63%) were medical staff. Most contacted occasionally ( 338, 56.15% ), at home ( 190, 31.56% ) , and through the same meal ( 181, 30.07% ) . The attack rate of close contacts aged 40 years and over was 7.49%, which was higher than 2.37% of those aged under 40 years ( P<0.05 ). The attack rate of close contacts increased with contact frequency ( P<0.05 ) . The attack rates of close contacts were significantly different in different relations with cases, contact places and contact modes ( P<0.05 ); the attack rates of colleagues and relatives were 20.41% and 8.68%; the attack rates of close contacts in the workplace settings and family were 17.54% and 10.00%; the attack rates of sharing the same bed, living in the same room and working in the same room were 44.44%, 18.60% and 17.24%. Conclusions The close contacts of COVID-19 cases in Jiulongpo District, Chongqing who aged 40 years or above, exposed in family settings and in the workplace were associated with higher risk of infection.
|
Received: 06 May 2020
Revised: 18 June 2020
Published: 10 September 2020
|
|
|
|
|
[1] 柴光军,索继江,刘运喜,等.新型冠状病毒肺炎暴发疫情流行病学调查经验初探[J].中华医院感染学杂志,2020,30(8):1147-1151. [2] 陈武,林嘉威,吴生根,等.福建省新型冠状病毒肺炎患者密切接触者的流行病学特征与感染危险因素[J].中华疾病控制杂志,2020,24(5):562-585. [3] 曾晶,邱乐平,邹晏,等.四川省新型冠状病毒肺炎密切接触者分析[J].中国公共卫生,2020,36(4):503-506. [4] 王小军,文亨军,王小博,等.甘肃省首起新型冠状病毒肺炎非家庭聚集性疫情分析[J].中国呼吸与危重监护杂志,2020,19(2):172-175. [5] 乔丹,王松强,王小丽,等.郑州市新型冠状病毒肺炎聚集性疫情分析[J].中国人兽共患病学报,2020,36(5):388-391. [6] 葛君华,丁斌彬,陈杨,等.天台县新型冠状病毒肺炎病例流行特征分析[J].预防医学,2020,32(6):588-590. [7] 马钰,马蒙蒙,罗业飞,等.广州市新型冠状病毒肺炎密切接触者感染危险因素分析[J].中国公共卫生,2020,36(4):507-511. [8] 虞乔木,郑东桦.新冠肺炎疫情防控常态化研究[J].中国公共安全(学术版),2020(1):65-68. [9] 中华人民共和国国家卫生健康委员会. 新型冠状病毒肺炎防控方案(第六版)[EB/OL].(2020-03-07)[2020-06-18].http://www.nhc.gov.cn/jkj/s3577/202003/4856d5b0458141fa9f376853224d41d7.shtml. [10] 梅小亚,赵林畅.大数据在重大流行病疫情防控中的应用及展望[J].河海大学学报(哲学社会科学版),2020,22(2):39-47. [11] 殷道根,段学燕,王庆川,等.基层医疗集团体系下社区健康服务机构防控新型冠状病毒肺炎疫情实践[J].实用心脑肺血管病杂志,2020,28(2):18-22. [12] 刘运喜,索继江,柴光.新型冠状病毒肺炎暴发与大流行的流行病学调查及应对策略[J].中华医院感染学杂志,2020,30(7):1-5. [13] 杨丽,李战,刘晓雪,等.济南市新型冠状病毒肺炎密切接触者隔离医学观察情况分析与评价[J].山东大学学报(医学版),2020,58(4):12-16. [14] 陈镜宇,罗业涛,梁小华,等.重大突发公共卫生事件中政策对控制效果的影响——以重庆市新型冠状病毒肺炎疫情防控为例[J].儿科药学杂志,2020,26(4):28-31. [15] 中华预防医学会新型冠状病毒肺炎防控专家组. 新型冠状病毒肺炎流行病学特征的最新认识[J].中国病毒病杂志,2020,10(2):86-92. [16] 陈琦,吴杨,陈楚鼎,等.湖北省新型冠状病毒肺炎流行病学特征分析[J].公共卫生与预防医学,2020,31(3):105-109. [17] 王爱华,龙泉,田春.重庆市渝西地区新冠肺炎确诊病例首发症状及流行病学特征[J].中国感染控制杂志,2020,19(3):234-238. |
|
|
|