Objective To understand the epidemic characteristics of influenza in Yaohai District of Hefei City from 2018 to 2022,and to provide data support for the prevention and control of influenza. Methods The monitoring data of influenza like illness (ILI),relevant etiological test results and influenza outbreak data of national sentinel hospital in Yaohai District,Hefei City during 2018 to 2022 were collected from the China Influenza Monitoring Information System,and descriptive epidemiological methods were used to analyze the epidemic characteristics of influenza. Results From 2018 to 2022,a total of 31 765 ILI were reported in Yaohai District Sentinel Hospital,and the percentage of ILI (ILI%) was 5.06%.The difference in ILI% between years was statistically significant (χ2=2 560.000,P <0.001).A total of 5 279 ILI specimens were tested for influenza virus nucleic acid,with a positive detection rate of 9.70%.Among which,the positive detection rate in 2022 was the highest (15.40%) (χ2=157.100,P<0.001).And 15-24 years old people had the highest positive detection rate (14.51%) (χ2=50.780,P<0.001).The positive detection rate was higher in males (10.64%) than that in females (8.80%) (χ2=4.871,P=0.020).The highest positive detection rate was observed in winter (21.82%) (χ2=335.100,P<0.001).The main subtypes of influenza viruses were A (H1N1) (30.47%,156/512),A (H3N2) (28.52%,146/512),and B (Victoria) (40.82%,209/512).A total of 56 outbreaks of ILI were reported,with 55 occurring in primary and secondary schools. Conclusion From 2018 to 2022,the influenza epidemic in Yaohai District of Hefei City had a high incidence in winter and spring,and children and adolescents were the key groups.Outbreaks of ILI are more common in primary and secondary schools and childcare institutions,indicating that schools are still key places for epidemic prevention and control.Student vaccination and influenza monitoring in key places should be strengthened.
Key words
Influenza like illness /
Outbreak /
Etiological surveillance
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References
[1] 国家卫生健康委办公厅.流行性感冒诊疗方案(2020年版)[EB/OL].(2020-10-27)[2024-01-12].http://www.nhc.gov.cn/yzygj/s7653p/202011/a943c67d55c74e589d23c81d65b5e221.shtml?wYNOrhhjiR4y=1604479727893.
[2] Feng L,Shay DK,Jiang Y,et al.Influenza-associated mortality in temperate and subtropical Chinese cities,2003-2008[J].Bull World Health Organ,2012,90(4):279-288B.
[3] Iuliano AD,Roguski KM,Chang HH,et al.Estimates of global seasonal influenza-associated respiratory mortality:a modelling study[J].Lancet,2018,391(10127):1285-1300.
[4] 马春娜,吴双胜,张莉,等.北京市2015—2020年流感流行季流感样病例和流感病原学分析[J].中华实验和临床病毒学杂志,2021,35(1):44-48.
[5] 国家卫生健康委疾控局.流感样病例暴发疫情处置指南(2018版)[EB/OL].(2018-11-14)[2024-01-12].http://jtj.pds.gov.cn/contents/18210/365748.html.
[6] 国家卫生计生委办公厅.全国流感监测方案(2017版)[EB/OL].(2017-03-30)[2024-01-12].http://www.nhc.gov.cn/cms-search/xxgk/getManuscriptXxgk.htm?id=ed1498d9e64144738cc7f8db61a39506.
[7] 王小军,蔡玉成,刘海军,等.2011年—2021年6月甘肃省陇南市流行性感冒流行特征及病原学变迁规律研究[J].中国卫生检验杂志,2022,32(9):1120-1123.
[8] 杨辉,尹志英,钟建跃,等.2016—2020年浙江省衢州市流感监测结果分析[J].实用预防医学,2023,30(1):5-8.
[9] 唐小德,张月娟,戚谨,等.2018—2020年上海市宝山区流行性感冒流行病学及病原学特征分析[J].疾病监测,2022,37(10):1334-1337.
[10] 廖亦红,何云,陈小东,等.2018—2021年龙岩市流感监测结果分析[J].预防医学情报杂志,2023,39(8):901-905.
[11] 黄明月,郭倩,侯赛,等.安徽省2018—2020年流感监测结果分析[J].安徽预防医学杂志,2021,27(5):335-338.
[12] Yang J,Lau YC,Wu P,et al.Variation in influenza B virus epidemiology by lineage,China[J].Emerg Infect Dis,2018,24(8):1536-1540.
[13] Li Y,Reeves RM,Wang X,et al.Global patterns in monthly activity of influenza virus,respiratory syncytial virus,parainfluenza virus,and metapneumovirus:a systematic analysis[J].Lancet Glob Health,2019,7(8):e1031-e1045.
[14] 谭小华,叶美云,庄雅丽,等.2014—2020年广东省不同型别流感病毒季节性流行特征及变化趋势[J].疾病监测,2022,37(1):108-114.
[15] 王晴,张慕丽,秦颖,等.2011—2019年中国B型流感季节性、年龄特征和疫苗匹配度分析[J].中华流行病学杂志,2020,41(11):1813-1817.
[16] 刘振武,张磊,刘旭祥,等.2015—2021年合肥市流感亚型流行病学特征与变迁相关性分析[J].公共卫生与预防医学,2022,33(4):20-23.
[17] 李迎庆,刘旭祥,赵科伕,等.2015―2019年度合肥市流感样症状病例流行病学的特征分析[J].中华疾病控制杂志,2021,25(12):1453-1458.
[18] 谭章平,喻臻,唐云,等.重庆市2016—2020年流感监测分析[J].中国热带医学,2022,22(2):134-137+147.
[19] 刘琳琳,韩诗,余晓,等.2016—2019年湖北省流感疫情及病原学监测分析[J].疾病监测,2020,35(12):1105-1109.
[20] 姚静,王寅,董玉颖,等.2012—2021年江苏省扬州市流感流行病学及病原学特征[J].实用临床医药杂志,2023,27(1):44-48.
[21] 陈其娴,方捷,许少坚,等.2013—2018年深圳市龙华区流行性感冒流行病学及病原学监测结果分析[J].应用预防医学,2020,26(2):167-169.