|
|
|
| Epidemiological characteristics of norovirus epidemics in Haidian District from 2015 to 2022 |
| GUO Li1, CAI Wei2, LIU Feng2, SHAO Yunping2
|
1. Emergency Office, Haidian District Center for Disease Control and Prevention, Beijing 100094, China;
2. Haidian District Center for Disease Control and Prevention, Beijing 100094, China |
|
|
|
|
Abstract Objective To understand the epidemiological characteristics of the norovirus epidemics in Haidian District, Beijing Municipality from 2015 to 2022, so as to provide insights into epidemic prevention and control. Methods The epidemiological characteristics, case data, and laboratory testing of norovirus epidemics were collected in Haidian District from 2015 to 2022, and the temporal distribution, spatial distribution, population distribution, and norovirus detection were analyzed using a descriptive epidemiological method. Results A total of 208 norovirus epidemics involving 3 530 cases were reported in Haidian District from 2015 to 2022, with a median attack rate of 25.00% (interquartile range, 18.35%). The main pathogens detected were type GⅡ, accounting for 87.98% (183 cases), and the main transmission mode was interpersonal transmission, accounting for 93.27% (194 cases). Norovirus epidemics peaked from March to June and October to December, accounting for 44.71% (93 epidemics) and 44.23% (92 epidemics), and predominantly occurred in schools and preschool institutions, accounting for 51.92% (108 epidemics) and 40.38% (84 epidemics). The median age of norovirus infected cases was 8 (interquartile range, 13) years. There were 1 920 males and 1 610 females, with a ratio of 1.19︰1. The positive rates of case specimens, key population specimens and environment smeared specimens in epidemic units were 74.32%, 13.91% and 5.86%, respectively. Conclusions The norovirus epidemics in Haidian District from 2015 to 2022 was mainly caused by type GⅡ and spread from person to person. The epidemics peaked in winter and spring, and schools and preschool institutions were the key units of prevention and control.
|
|
Received: 26 September 2023
Revised: 25 December 2023
Published: 21 February 2024
|
|
|
|
|
|
[1] 廖巧红,冉陆,靳淼,等.诺如病毒感染暴发调查和预防控制技术指南(2015版)[J].中国病毒病杂志,2015,5(6):448-458.
[2] CHHABRA P,DE GRAAF M,PARRA G I,et al.Updated classification of norovirus genogroups and genotypes[J]. J Gen Virol,2019,100(10):1393-1406.
[3] 中国疾病预防控制中心传染病预防控制处.诺如病毒感染暴发调查和预防控制技术指南(2015版)[EB/OL]. [2023-12-25]. https://dghb.dg.gov.cn/cdpc/yfnrbd/201811/15346d1b59114cc6888bfeed8b610fb7/files/e99acc9eab6e4e9d80f03e74bb6ae733.pdf.
[4] 汤巧雨,高玺玉,宋杨,等.2007—2021年我国诺如病毒急性胃肠炎暴发疫情流行特征及影响因素分析[J].中华流行病学杂志,2023,44(5):751-758.
[5] 北京市疾病预防控制中心.集体单位诺如病毒急性胃肠炎疫情防控指引[EB/OL].[2023-12-25]. https://www.bjcdc.org/cdcmodule/jkfw/bzfg/2023/81161.shtml.
[6] 陈秀云,姚梓烽. 中山市诺如病毒感染暴发疫情特征分析[J].预防医学,2021,33(5):508-510.
[7] 王大虎,李美霞,汪慧,等.一起发生在某高校的诺如病毒感染暴发疫情调查分析[J].医学动物防制,2020,36(12):1202-1206.
[8] AO Y Y,CONG X,JIN M,et al.Genetic analysis of reemerging GⅡ. P16-GⅡ. 2 noroviruses in 2016-2017 in China[J]. J Infect Dis,2018,218(1):133-143.
[9] 朱曦,孔翔羽,章青,等.2016—2019年我国诺如病毒暴发疫情的分子流行病学特征分析[J].疾病监测,2021,36(8):774-779.
[10] 王心怡,吴昊澄,鲁琴宝,等.2012—2021年浙江省学校突发公共卫生事件及相关信息分析[J].预防医学,2022,34(9):870-875.
[11] 郑家乐,冯太聪,向伦辉,等.宝山区45起诺如病毒聚集性疫情分析[J].预防医学,2023,35(9):803-806.
[12] 杨芬,孙立梅,李晖,等.广东省2008—2015年诺如病毒感染暴发的危险因素分析[J].中华流行病学杂志,2017,38(7):906-910.
[13] 刘白薇,高志勇,贾蕾,等.北京市2014—2018年诺如病毒急性胃肠炎暴发的影响因素分析[J].中华流行病学杂志,2019,40(10):1274-1278.
[14] LENNON R P,GRIFFIN C,MILLER E L,et al.Norovirus infections drop 49% in the United States with strict COVID-19 public health interventions[J]. Acta Med Acad,2020,49(3):278-280.
[15] EIGNER U,VERSTRAETEN T,WEIL J.Decrease in norovirus infections in Germany following COVID-19 containment measures[J]. J Infect,2021,82(6):276-316.
[16] 孙冰洁,张海艳,高志勇,等.北京市东城区2013—2018年诺如病毒感染疫情流行特征分析[J].国际病毒学杂志,2019,26(2):112-115. |
|
|
|
