Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (10): 89-94.doi: 10.6040/j.issn.1671-7554.0.2020.0674

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Epidemiological characteristics of COVID-19 in Xi’an city

ZHANG Hui1, SONG Shuxuan2, LIU Jifeng1, HE Zhen2, SHAO Zhongjun2, LIU Kun2   

  1. 1. Department of Infectious Disease Control, Xian Center for Disease Control and Prevention, Xian 710054, Shaanxi, China;
    2. Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xian 710032, Shaanxi, China
  • Published:2020-10-08

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Abstract: Objective To analyze the epidemiological characteristics of confirmed cases of coronavirus disease 2019(COVID-19)in Xian, so as to provide scientific basis for the prevention and control measures. Methods Data of COVID-19 cases were collected from the official website of Xian Health Commission and Shaanxi Province Health Commission, and analyzed with descriptive epidemiological analysis, Wilcoxon rank sum test and Kruskal-Wallis H test. Results Totally 125 cases(67 male and 58 female)were reported as of March 31. The average age of patients was(48.23±15.94, range 13-89)years, and those aged 35-54 years accounted for 44.00%(55/125). There were 52 imported cases and 73 local secondary cases, 117 of which had clear sources of infection while 8 cases had not. Death occurred in 3 cases. Altogether 23 cluster outbreaks were reported, involving 89 cases, among which 13(56.52%)were family clusters involving 38 cases(42.70%). The top three districts with reported cases were Yanta(29 cases), Xincheng(20 cases)and Lianhu(16 cases). Epidemic curve showed two peaks on Jan. 28(11 cases)and Jan. 31(10 cases), 2020. The median days were 1.0(0.5, 3.0)d from onset to the first visit, 4.0(3.0,6.5)d from the first visit to diagnosis, and 7.0(4.0,10.0)d from onset to diagnosis. There were significant differences in the days from the first visit to diagnosis between imported cases and local secondary cases(Z=-2.107, P=0.035), and in the days from onset to diagnosis between the cases who took medications and who did not take medications before the first visit(Z=-2.690, P=0.007). Conclusion The epidemic curve of COVID-19 in Xian could be divided into 3 phases: imported cases from other provinces, local secondary cases and imported cases from abroad. Family cluster was an important characteristic of COVID-19 in Xian. Imported cases could be diagnosed earlier than local secondary cases. Self-treatment before the first visit could affect the laboratory confirmation of COVID-19. Preventing imported cases from abroad is still the focus of future efforts.

Key words: Coronavirus disease 2019, Epidemiological characteristic, Family cluster

CLC Number: 

  • R181.3
[1] 熊成龙, 蒋露芳, 姜庆五. β-冠状病毒引起人类疾病的流行与控制[J]. 上海预防医学, 2020, 32(1): 58-66.
[2] World Health Organization. Coronavirus disease 2019(COVID-19)situation report-70 [EB/OL].(2020-03-30)[2020-03-31]. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports.
[3] 中华人民共和国国家卫生健康委员会. 新型冠状病毒肺炎诊疗方案(试行第五版修正版)[EB/OL].(2020-02-08)[2020-03-30]. http://www.nhc.gov.cn/xcs/zhengcwj/202002/d4b895337e19445f8d728fcaf1e3e13a.shtml.
[4] 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(第四版)[EB/OL].(2020-02-07)[2020-03-30]. http://www.nhc.gov.cn/xcs/zhengcwj/202002/573340613ab243b3a7f61df260551dd4.shtml.
[5] 陕西省人民政府.陕西启动突发公共卫生事件Ⅰ级应急响应[EB/OL].(2020-01-26)[2020-03-30]. http://www.shaanxi.gov.cn/sxxw/sxyw/159595.shtml.
[6] Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019(COVID-19)outbreak in China: Summary of a report of 72 314 cases from the Chinese center for disease control and prevention [J]. JAMA, 2020. doi: 10.1001/jama.2020.2648.
[7] Lauer SA, Grantz KH, Bi Q, et al. The incubation period of coronavirus disease 2019(COVID-19)from publicly reported confirmed cases: Estimation and application [J]. Ann Intern Med, 2020. doi: 10.7326/M20-0504.
[8] 曹盛力, 冯沛华, 时朋朋. 修正SEIR传染病动力学模型应用于湖北省2019冠状病毒病(COVID-19)疫情预测和评估[J].浙江大学学报(医学版), 2020, 49(2): 178-184. CAO Shengli, FENG Peihua, SHI Pengpeng. Study on the epidemic development of COVID-19 in Hubei province by a modified SEIR model [J]. Journal of Zhejiang University( Medical Sciences), 2020, 49(2): 178-184.
[9] 中国民用航空局. 中国民用航空局、中华人民共和国外交部、中华人民共和国国家卫生健康委员会、中华人民共和国海关总署、国家移民管理局关于目的地为北京的国际航班从指定第一入境点入境的公告(第2号)[EB/OL].(2020-03-22)[2020-03-30]. http://www.caac.gov.cn/XXGK/XXGK/TZTG/202003/t20200322_201625.shtml.
[10] 西安市市场监督管理局. 关于落实药品医疗器械企业复工复产措施的通知[EB/OL].(2020-03-14)[2020-03-30]. http://scjg.xa.gov.cn/newsDetail.action?article.newsId=20161655.
[11] 中国疾病预防控制中心新型冠状病毒肺炎应急响应机制流行病学组. 新型冠状病毒肺炎流行病学特征分析[J]. 中华流行病学杂志, 2020, 41(2): 145-151.
[12] 李陈晨, 马倩倩, 殷环, 等. 河南省新型冠状病毒肺炎高发区流行病学特征及防控分析[J]. 武汉大学学报(医学版), 2020,41(4):1-8. LI Chenchen, MA Qianqian, YIN Huan, et al. Epidemiological features and prevention measures of COVID-19 in high incidence areas of Henan Province [J]. Medical Journal of Wuhan University, 2020, 41(4): 1-8.
[13] 曹培明, 李晓旭, 严晓峰, 等. 重庆市主城区223例新型冠状病毒肺炎病例的回顾性流行病学分析[J]. 西南大学学报(自然科学版), 2020, 42(3): 10-16.
[14] 邱超奕. 国务院联防联控机制新闻发布会—本土疫情传播基本阻断[N/OL]. 人民日报海外版,(2020-03-30)[2020-03-30]. http://paper.people.com.cn/rmrbhwb/html/2020-03/30/node_865.htm”.
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