傅俊杰, 戴启刚, 霍翔. 2011-2019年江苏省不同型别流感病毒流行特征差异分析[J]. 疾病监测, 2020, 35(11): 992-997. DOI: 10.3784/j.issn.1003-9961.2020.11.008
引用本文: 傅俊杰, 戴启刚, 霍翔. 2011-2019年江苏省不同型别流感病毒流行特征差异分析[J]. 疾病监测, 2020, 35(11): 992-997. DOI: 10.3784/j.issn.1003-9961.2020.11.008
Fu Junjie, Dai Qigang, Huo Xiang. Epidemiological characteristics of influenza viruses at subtypes/lineages level in Jiangsu, 2011–2019[J]. Disease Surveillance, 2020, 35(11): 992-997. DOI: 10.3784/j.issn.1003-9961.2020.11.008
Citation: Fu Junjie, Dai Qigang, Huo Xiang. Epidemiological characteristics of influenza viruses at subtypes/lineages level in Jiangsu, 2011–2019[J]. Disease Surveillance, 2020, 35(11): 992-997. DOI: 10.3784/j.issn.1003-9961.2020.11.008

2011-2019年江苏省不同型别流感病毒流行特征差异分析

Epidemiological characteristics of influenza viruses at subtypes/lineages level in Jiangsu, 2011–2019

  • 摘要:
      目的  了解2011 — 2019年江苏省流行性感冒(流感)病毒不同亚型和系之间的流行病学特征差异,为本地区流感的精准防控提供依据。
      方法  对2011 — 2019年中国流感监测系统中报告的江苏省实验室确诊的流感病例进行分析,分类资料的分布差异比较使用χ2检验,使用logistic回归识别危险因素并计算OR值。
      结果  在2011年1月至2019年12月期间,江苏省共报告26 934例流感确诊病例,A(H3)亚型占比最多,占40.40%。 在不同监测年度和地区间,流感病例中各个亚型和系分布比例的差异有统计学意义(χ2=13588.399,P<0.001;χ2=180.333,P<0.001)。 A(H3)亚型在12月至次年1月以及8 — 9月呈双峰流行,A(H1)亚型和B-Y系在1 — 2月出现高峰,B-V系则滞后至3 — 4月病例数增多。 在人群分布上,各年龄组、职业的流感亚型和系分布差异有统计学意义(χ2=1126.665,P<0.001;χ2=70.724,P<0.001)。 多因素logistic回归分析显示,经调整地区和月份,不同年龄组人群感染流感病毒各亚型和系的风险差异有统计学意义,0~5岁儿童更容易感染A(H1)亚型,6~15岁易感染B-V系,而65岁以上老年人易感染A(H3)亚型和B-Y系。
      结论  江苏省流感病毒型别交替变化并呈现一定规律,不同亚型、系流行具有型别特异的季节性特征和人群感染风险,及时分析不同病毒亚型和系的流行特点是流感精准防控的关键。

     

    Abstract:
      Objective  To understand the differences in epidemiological characteristics of influenza viruses of different subtypes/lineages in Jiangsu province from 2011 to 2019 and provide evidences for the precise prevention and control of influenza.
      Methods  Laboratory-confirmed influenza cases reported in influenza surveillance system in Jiangsu from January 2011 to December 2019 were analyzed. The differences in distribution of categorical variable data were compared with χ2 test, the risk factors were identified with Logistic regression analysis and odds ratios were calculated.
      Results  There were 26 934 confirmed influenza cases with subtype/lineage testing results in Jiangsu during this period. Influenza A (H3) virus accounted for the highest proportion (40.40%). The proportion of influenza subtypes/lineages differed significantly with year and area ( χ2=12448.182, P<0.001; χ2=180.333, P<0.001). The seasonal peaks were observed during December-January and August-September for A (H3) virus, during January-February for A(H1) virus and B-Y virus, during March-April for B-V virus. The proportion of influenza subtypes/lineages differed significantly among age groups and occupation groups ( χ2=13588.399, P<0.001; χ2=70.724, P<0.001). Multivariate logistic regression analysis showed that, after adjustment for areas and months, children aged <5 years were more likely to be infected with A(H1) virus. Older children aged 6–15 years had a significantly increased risk for the infection with B-V virus, while the elderly (more than 65 years) were prone to be infected with A (H3) virus and B-Y virus.
      Conclusion  In Jiangsu, influenza viruses of different subtypes/lineages circulated alternatively, they have different seasonality and infection risks. It is essential to analyze the epidemiological characteristics of influenza viruses at subtypes/lineages level in time for the precise prevention and control of influenza.

     

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