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预防医学  2020, Vol. 32 Issue (4): 330-333    DOI: 10.19485/j.cnki.issn2096-5087.2020.04.002
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宁波市新型冠状病毒肺炎病例流行特征分析
张栋梁, 易波, 陈奕, 丁克琴, 王海波, 董红军, 许国章, 王爱红, 马晓, 张琰, 方挺
宁波市疾病预防控制中心,浙江 宁波 315010
Epidemiological characteristics of coronavirus disease 2019 in Ningbo
ZHANG Dongliang, YI Bo, CHEN Yi, DING Keqin, WANG Haibo, DONG Hongjun, XU Guozhang, WANG Aihong, MA Xiao, ZHANG Yan, FANG Ting
Ningbo Center for Disease Control and Prevention,Ningbo,Zhejiang 315010,China
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摘要 目的 分析宁波市2020年1月22日—2月22日报告的新型冠状病毒肺炎(COVID-19)确诊病例流行特征,为COVID-19疫情防控提供依据。方法 通过中国疾病预防控制信息系统传染病监测系统收集宁波市2020年1月22日—2月22日COVID-19确诊病例资料,采用描述流行病学方法分析病例的时间分布、地区分布、人群分布、临床表现和暴露史等流行特征。结果 1月22日—2月22日,宁波市累计报告COVID-19确诊病例157例,无死亡病例。1月22日报告首例COVID-19确诊病例,1月22日—2月4日为确诊病例发病高峰,单日最高15例,流行曲线呈持续人传人增殖的传播模式,2月5日后报告病例明显减少。宁波市10个县(市、区)均有病例报告,其中海曙区报告最多,69例占43.95%。病例年龄集中在30~69岁,123例占78.34%;职业以农民、家务待业和离退休人员为主,94例占59.87%。以轻症病例为主,138例占87.90%。输入病例51例,占病例总数的32.48%。首例确诊病例为宁波市本地病例,疫情早期呈现出本地病例和输入病例共同流行态势,与1月19日大型佛事集体活动造成的聚集性疫情有关。该活动共导致67例COVID-19确诊病例和15例无症状感染者。累计报告聚集性疫情22起,确诊病例138例,占确诊病例总数的87.90%。结论 宁波市COVID-19疫情早期呈现本地病例和输入病例共同流行态势,病例以女性为主,年龄集中在30~69岁,以农民、家务待业和离退休为主;采取综合防治措施后,宁波市COVID-19疫情取得阶段性成效。
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张栋梁
易波
陈奕
丁克琴
王海波
董红军
许国章
王爱红
马晓
张琰
方挺
关键词 新型冠状病毒肺炎严重急性呼吸道综合征冠状病毒2型流行特征    
AbstractObjective To analyze the epidemiological characteristics of coronavirus disease 2019 (COVID-19) cases reported in Ningbo from January 22 to February 22, 2020, so as to provide guidance for the prevention and control of the COVID-19 epidemic. Methods The confirmed cases of COVID-19 reported by Ningbo were selected from National Diseases Prevention and Control Information System to analyze the epidemiological characteristics by descriptive epidemiological method, including time, spatial and population distribution, clinical symptoms and exposure history. Results A total of 157 confirmed cases of COVID-19 were reported and there was no death. The first confirmed case was reported on January 22. On the incidence curve, the peak was from January 22 to February 4, with a maximum of 15 cases in a single day. The incidence curve presented sustained human-to-human transmission. The number of the cases showed a declining trend from February 5. The confirmed cases were reported in all 10 counties(cities or districts),among which 69(43.95%)cases were reported in Haishu District. The confirmed cases were mainly 30-69 years old,accounting for 78.34%;were mainly farmers,household workers and retired people,accounting for 59.87%;and were mainly clinically mild,accounting for 87.90%.There were 51 imported cases, accounting for 32.48%. The initial confirmed case was a local case. In the early stage of the epidemic, local cases and imported cases prevalent together,which was due to the outbreak caused by the large-scale buddhist activity on January 19.This event resulted in 67 confirmed cases and 15 asymptomatic cases. There totally reported 22 clusters with 138 (87.90%)confirmed cases. Conclusions In the early stage of the COVID-19 epidemic in Ningbo, the imported cases and local cases prevalent at the same time. Most of the cases were female, aged from 30 to 69 years, and their occupation were farmers, household workers and retired people. With comprehensive measures taken, the epidemic of COVID-19 in Ningbo have been under control.
Key wordscoronavirus disease 2019    severe acute respiratory syndrome coronavirus 2    epidemiological characteristics
收稿日期: 2020-03-05      出版日期: 2020-04-16
ZTFLH:  R181.3  
  R563.1  
基金资助:浙江省医学重点学科(07-013); 宁波市新型冠状病毒肺炎的应急防控及临床诊治技术研究(2020C50001); 宁波市市级医疗卫生品牌学科(PPXK2018-10)
通信作者: 许国章,E-mail:xugz@nbcdc.org.cn   
作者简介: 张栋梁,硕士,副主任医师,主要从事急性传染病防制工作
引用本文:   
张栋梁, 易波, 陈奕, 丁克琴, 王海波, 董红军, 许国章, 王爱红, 马晓, 张琰, 方挺. 宁波市新型冠状病毒肺炎病例流行特征分析[J]. 预防医学, 2020, 32(4): 330-333.
ZHANG Dongliang, YI Bo, CHEN Yi, DING Keqin, WANG Haibo, DONG Hongjun, XU Guozhang, WANG Aihong, MA Xiao, ZHANG Yan, FANG Ting. Epidemiological characteristics of coronavirus disease 2019 in Ningbo. Preventive Medicine, 2020, 32(4): 330-333.
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http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2020.04.002      或      http://www.zjyfyxzz.com/CN/Y2020/V32/I4/330
[1] WANG C, HORBY P W, HAYDEN F G, et al.A novel coronavirus outbreak of global health concern[J].Lancet,2020,395(10223): 470-473.
[2] World Health Organization.WHO director-general's remarks at the media briefing on 2019-nCoV on 11 February 2020[EB/OL].(2020-02-11)[2020-03-19]. https://www.who.int/zh/dg/speeches/detail/who-director-general-s-remarks-at-the-media-brief ingon-2019-ncov-on-11-february-2020.
[3] 中华人民共和国国家卫生健康委员会. 国家卫生健康委关于新型冠状病毒肺炎暂命名事宜的通知[EB/OL]. (2020-02-08) [2020-03-19].http://www.nhc.gov.cn/yzygj/s7653p/202002/18c1bb43965a4492907957875de02ae7.shtml.
[4] 林君芬, 吴梦娜, 吴昊澄, 等. 浙江省新型冠状病毒肺炎病例流行特征分析[J].预防医学,2020,32(3):217-221,225.
[5] 中华人民共和国国家卫生健康委员会办公厅. 新型冠状病毒肺炎防控方案(第五版)[EB/OL]. [2020-03-19]. http://www.nhc.gov.cn/jkj/s3577/202002/a5d6f7b8c48c451c87dba14889b30147/files/3514cb996ae24e2faf65953b4ecd0df4.pdf.
[6] 中华人民共和国国家卫生健康委员会办公厅,中华人民共和国国家中医药管理局办公室. 新型冠状病毒肺炎诊疗方案(试行第六版)[EB/OL]. (2020-02-18) [2020-03-19]. http://www.nhcgov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8aefc2/files/b218cfeb1bc54639af227f922bf6b817.pdf.
[7] 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.
[8] 王克顺, 叶志豪, 张定. 平阳县一起新型冠状病毒肺炎聚集性疫情调查[J]. 预防医学,2020,32(3):222-225.
[9] 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]. 中华流行病学杂志, 2020, 41(2):139-144.
[10] GUAN W J, NI Z Y, HU Y,et al. Clinical characteristics of 2019 novel coronavirus infection in China [EB/OL]. (2020-02-06)[2020-03-19]. http://dx.doi.org/10.1101/2020.02.06.20020974.
[11] YANG Y,LU Q B,LIU M J,et al. Epidemiological and clinical features of the2019 novel coronavirus outbreak in China [EB/OL]. (2020-02-10)[2020-03-19]. https://doi.org/10.1101/2020.02.10.20021675.
[12] 唐安,仝振东,李科峰,等. 舟山市新型冠状病毒肺炎病例流行病学特征分析[J]. 预防医学,2020,32(2):113-116.
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