杨丽丽, 杨艳娜, 郗璐, 崔燕, 郑燃燃, 李华, 甄博君, 李洪军. 2015-2020年北京市通州区关联性疫情流行特征分析[J]. 疾病监测, 2022, 37(2): 224-227. DOI: 10.3784/jbjc.202104080189
引用本文: 杨丽丽, 杨艳娜, 郗璐, 崔燕, 郑燃燃, 李华, 甄博君, 李洪军. 2015-2020年北京市通州区关联性疫情流行特征分析[J]. 疾病监测, 2022, 37(2): 224-227. DOI: 10.3784/jbjc.202104080189
Yang Lili, Yang Yanna, Xi Lu, Cui Yan, Zheng Ranran, Li Hua, Zhen Bojun, Li Hongjun. Epidemiological characteristics of associated epidemics in Tongzhou district, Beijing, 2015-2020[J]. Disease Surveillance, 2022, 37(2): 224-227. DOI: 10.3784/jbjc.202104080189
Citation: Yang Lili, Yang Yanna, Xi Lu, Cui Yan, Zheng Ranran, Li Hua, Zhen Bojun, Li Hongjun. Epidemiological characteristics of associated epidemics in Tongzhou district, Beijing, 2015-2020[J]. Disease Surveillance, 2022, 37(2): 224-227. DOI: 10.3784/jbjc.202104080189

2015-2020年北京市通州区关联性疫情流行特征分析

Epidemiological characteristics of associated epidemics in Tongzhou district, Beijing, 2015-2020

  • 摘要:
      目的  通过对2015 — 2020年北京市通州区关联性疫情的流行特征进行分析,探索疫情相关危险因素,为传染病疫情暴发、流行预警、防控提供科学依据。
      方法  收集北京市传染病监测及流行病学调查系统中2015年1月1日至2020年12月31日关联性疫情的监测数据和调查报告,用Excel 2013软件汇总整理,对通州区关联性疫情的流行特征和病原学特征进行描述性分析。
      结果  2015 — 2020年通州区共报告5类关联性疫情237起,其中发热、腹泻、皮疹、结膜红肿、黄疸疫情分别为96、102、37、2、0起。 其中37起关联性皮疹疫情中,27起为手足口病或疱疹性咽峡炎,5起为水痘。 237起疫情发生的高峰期为6 — 8月,次高峰期为11月。腹泻疫情高峰期为6 — 9月,发热疫情高峰期为6、12、1月,皮疹疫情高峰期为5 — 6月和10 — 11月,2起结膜红肿疫情发生在11和12月。 疫情发生居前5位的辖区依次是梨园镇(53起)、永顺镇(29起)、宋庄镇(19起)、潞城镇(18起)、张家湾镇(16起),关联性疫情主要发生在城区和城乡结合部。 237起疫情发生场所占比由高到低依次为中、小学校(托幼机构)、家庭、公司或集体宿舍、餐馆或来京旅游团、职业院校或专业培训机构、工地,2020年中、小学校(托幼机构)疫情数大幅减少,其他场所疫情比例显著上升。 2020年有18起关联性疫情明确了病原。
      结论  不同月份的关联性疫情类型不同,与其他监测数据一致性较高。 需加强城区与城乡结合部等重点地区、职业院校或专业培训机构、家庭、工地等特定场所的疫情防控。 北京市传染病监测及流行病学调查系统应积极开展病原学检测并推广使用。

     

    Abstract:
      Objective  To analyze the characteristics of the associated epidemics in Tongzhou district of Beijing from 2015 to 2020, identify the risk factors and provide scientific basis for the early warning, prevention and control of infectious disease epidemics.
      Methods  The surveillance data and investigation reports of associated epidemics in Beijing from January 1, 2015 to December 31, 2020 were collected from Beijing Infectious Disease Surveillance and Epidemiological Investigation System for a descriptive analysis on the epidemiological and etiological characteristics of associated epidemics in Tongzhou. The data were processed with Excel 2013.
      Results  From 2015 to 2020, a total of 237 cases in associated epidemics were reported in Tongzhou, including 96 cases of fever, 102 cases of diarrhea, 37 cases of rash, 2 cases of conjunctival redness and 0 cases of jaundice. Among the 37 cases of rash, 27 hand-foot-mouth disease or herpetic angina cases were diagnosed, and 5 varicella cases were diagnosed. The incidence peak of the 237 cases was during June–August, and the secondary peak was in November. The incidence peak of the 102 cases of diarrhea was during June–September. The incidence peaks of fever were in June, December and January. The incidence peaks of rash were during May–June and during October–November, and two conjunctiva redness cases occurred in November and December. The top 5 townships with high case numbers were Liyuan (53 cases), Yongshun (29 cases), Songzhuang (19 cases), Lucheng (18 cases) and Zhangjiawan (16 cases). The associated epidemics mainly occurred in urban area and rural-urban continuum. The associated epidemics occurred in middle and primary schools (child care settings) in Tongzhou accounted for the highest proportion of the total, followed by that in family, company or collective dormitories, restaurants or the tourist groups to Beijing, vocational college or professional training institution, construction site. In 2020, the proportion of associated epidemics in primary school (child care settings) dropped sharply, and the proportions in other settings considerably increased. The pathogens of 18 associated epidemics were identified in 2020.
      Conclusion  The types of associated epidemics in Tongzhou varied with month, showing high consistency with other surveillance data. It is necessary to strengthen epidemic prevention and control in key areas, such as urban area and urban-rural continuum, vocational college or professional training institution, family, construction site and other specific places, and conduct pathogen detection through the Infectious Disease Surveillance and Epidemiological Investigation System of Beijing.

     

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