新型冠状病毒感染疫情期间北京市集中发热疫情特征分析  

Characteristics of febrile illness clusters in Beijing during COVID-19 epidemic

作　　者：段玮[1] 张莉[1] 卢桂兰[1] 张姣姣 马佳鑫 孙瑛[1] 马春娜[1] 张代涛[1] Duan Wei;Zhang Li;Lu Guilan;Zhang Jiaojiao;Ma Jiaxin;Sun Ying;Ma Chunna;Zhang Daitao(Institute for Infectious Disease and Endemic Disease Control,Beijing Center for Disease Prevention and Control,Beijing 100013,China)

机构地区：[1]北京市疾病预防控制中心传染病地方病控制所,100013

出　　处：《国际病毒学杂志》2023年第3期220-223,共4页International Journal of Virology

摘　　要：目的分析新型冠状病毒感染疫情期间,北京市集中发热疫情的流行病学和病原学特征,为新形势下集中发热疫情防控策略提供参考依据。方法收集2020年1月1日—2023年4月30日期间,北京市报告的集中发热疫情数据,对疫情特征和病原学特征进行描述性分析。结果2020年第1周—2023年第17周,北京市共报告集中发热疫情310起,累计报告发热病例4764人,疫情累计波及12412人,平均罹患率38.38%。30人以下规模的疫情305起,占98.39%。幼园儿和小学共报告259起,占全部疫情的83.55%,是集中发热疫情报告的最主要场所。2020—2022年,集中发热疫情报告数均处于较低水平,仅在冬季出现两个小高峰,2023年春季出现集中发热报告高峰,周平均报告数为33起。310起集中发热疫情中,288起(占92.90%)为流感病毒感染。结论应持续开展新冠、流感及其他呼吸道病毒的监测工作,为集中发热疫情的预警工作提供数据支持。Objective To analyze the epidemiological and etiological characteristics of febrile illness clusters in Beijing during coronavirus diseases 2019(COVID-19)epidemic,so as to provide reference basis for prevention and control strategies febrile illness clusters in the new situation.Methods The data of febrile illness clusters reported in Beijing from January 1,2020 to April 30,2023 were collected.The descriptive analyses were performed for both epidemiological and etiological characteristics.Results A total of 310 febrile illness clusters were reported in Beijing from the 1st week of 2020 to the 17 th week of 2023.There were cumulatively 4764 febrile cases in these clusters and 12412 persons were affected.The average attack rate was 38.38%.There were 305 clusters with less than 30 cases,accounting for 98.39%of all clusters.Kindergartens and primary schools were the main places of the epidemics.A total of 259 clusters were reported,accounting for 83.55%of all epidemics.From 2020 to 2022,the numbers of reported febrile cluster were relatively low with only two small peaks in winter.In the spring of 2023,there was a peak of reported febrile clusters,with a weekly average of 33 clusters.Out of 310 febrile clusters,288(92.90%)were caused by influenza virus.Conclusions The surveillance of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),influenza virus and other respiratory viruses should be carried out continuously to provide data support for the early warning of febrile clusters.

关 键 词：流感 新冠病毒 集中发热疫情 

分 类 号：R181.8[医药卫生—流行病学]