摘要
目的分析北京市2020年上半年报告的新型冠状病毒肺炎(coronavirus disease 2019,COVID-19)病例的流行病学特征,为采取进一步的防控措施提供依据。方法收集北京市2020年1月19日-6月8日传染病报告信息管理系统中上报的所有COVID-19病例,描述其流行病学特征。结果截至2020年6月8日,北京市共报告611例病例,其中确诊病例594例(97.22%),无症状感染者17例(2.78%),死亡9例,粗病死率1.52%(9/594),男女性别比0.86∶1,病例年龄集中在20~69岁(499例,占81.67%),无症状感染者、轻型和普通型患者522例(85.43%)。病例的时间分布呈现双峰特征,分别为境内病例和境外输入病例,境内输入病例造成的关联病例多于境外输入病例(χ^2=124.681,P<0.01)。结论北京市COVID-19病例年龄范围广,下一步工作中需继续严格境内密切接触者管理,减少关联病例,避免聚集性疫情的出现。
Objective In order to provide theoretical basis for prevention and control of the disease,this study analyzed the epidemiological characteristics of coronavirus disease 2019(COVID-2019)of Beijing in the first half year of 2020.Methods All COVID-2019 cases reported from January 19 to June 8,2020 through Chinese Infectious Disease Information System(CIDIS)was extracted,and the epidemiological characteristics of these cases was described.Results As of June 8,2020,there were total 611 cases in Beijing reported by CIDIS,594(97.22%)of them were confirmed cases,17(2.78%)were asymptomatic cases,and 9 cases were dead.The rude mortality rate was 1.52%(9/594)、Among these cases,the male to female radio was 0.86∶1,most of the them were aged 20-69 years(499,81.67%),and the number of asymptomatic,mild and common cases was 522(85.43%).The time distribution of these reported cases presented two peaks presenting domestic cases and imported cases respectively,and the related cases of domestic cases was more than that of the imported cases(χ^2=124.68,P<0.01).Conclusions In Beijing,the age range of reported cases of COVID-19 was broad.It is necessary to supervise the close contacts strictly in order to reduce the related cases and avoid the outbreaks.
作者
贾蕾
王小莉
窦相峰
刘白薇
何战英
李阳桦
王全意
庞星火
JIA Lei;WANG Xiao-Li;DOU Xiang-Feng;LIU Bai-Wei;HE Zhan-Ying;LI Yang-Hua;WANG Quan-Yi;PANG Xing-Huo(Beijing Center for Disease Control and Prevention/Beijing Center for Preventive Medicine Research,Beijing 100013,China)
出处
《首都公共卫生》
2020年第3期120-123,共4页
Capital Journal of Public Health
关键词
新型冠状病毒肺炎
流行特征
北京
Coronavirus disease 2019(COVID-19)
Epidemiological characteristics
Beijing
