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| 2010 - 2014年苏州市流感监测结果分析 | |
| 引用本文： | 胡飞飞1,2,谭亚运3,祖荣强2,张钧3,陈立凌3. 2010 - 2014年苏州市流感监测结果分析[J]. 现代预防医学, 2016, 0(18): 3428-3431 |
| 作者姓名： | 胡飞飞1 2 谭亚运3 祖荣强2 张钧3 陈立凌3 |
| 作者单位： | 1. 常州市疾病预防控制中心，江苏 常州 213022；2. 江苏省现场流行病学培训项目，江苏 南京 210000；3. 苏州市疾病与控制中心，江苏 苏州 215000 |
| 摘 要： | 目的 掌握2010 - 2014年苏州市流感特征，为防控流感提供依据。方法 对2010 - 2014年苏州市流感样病例、病原监测数据和暴发疫情情况进行分析。 结果 苏州市流感全年出现夏季和冬季2个小流行高峰；流感高发人群为14岁以下儿童及婴幼儿；近5年ILI%有统计学差异（χ2 = 26 285.493，P ＜0.001）；各年份病原检测阳性率差异有统计学意义（χ2 = 60.151，P ＜0.001），自2012年开始，苏州市主要型别为季H3型；各年龄段病原检测阳性率有统计学差异（χ2 = 125.631，P ＜0.001），5～14岁年龄段最高，为20.50%；各级别医疗机构ILI%不同（χ2 = 31 939.112，P ＜0.001），病原检测阳性率有统计学差异（χ2 = 7.878，P = 0.019）。结论 进一步完善涵盖三级医疗的流感监测网，科学开展流感防控。 |
| 关 键 词： | 流感 监测 病原学 医疗机构 |
Analysis on influenza surveillance data in Suzhou during 2010-2014 |
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| HU Fei-fei,TAN Ya-yun,ZU Rong-qiang,ZHANG jun,CHEN Li-ling. Analysis on influenza surveillance data in Suzhou during 2010-2014[J]. Modern Preventive Medicine, 2016, 0(18): 3428-3431 | |
| Authors: | HU Fei-fei TAN Ya-yun ZU Rong-qiang ZHANG jun CHEN Li-ling |
| Affiliation: | *Changzhou Center for Disease Control and Prevention, Changzhou, Jiangsu 213022, China |
| Abstract: | Objective This work was to understand the epidemiological characteristics of influenza in Suzhou during 2010-2014, and provide a theoretical basis for the prevention of influenza. Methods The data of ILI, pathogen surveillance and influenza outbreak in Suzhou from 2010 to 2014 were collected and analyzed. Results Annual epidemic bipeaks appeared in summer and winter. Children and infants under 14 was the high-risk population for influenza. The ILI% had a significant difference in 5 years (χ2=26285.493，P<0.001). Statistical analysis results showed a difference between the positive rates of pathogen detection (χ2=60.151，P<0.001). The main type had been Seasonal H3 in Suzhou since 2013. The positive rate of influenza virus differed with age (χ2=125.631，P<0.001). The highest rate was 20.50% in 5-14 age group. ILI% varied in medical institutions of different levels (χ2=31939.112，P<0.001). The positive rate of influenza virus also varied with medical institutions (χ2=7.878，P=0.019). Conclusion We should further improve influenza surveillance network covering three levels of medical institutions, and scientifically control and prevent influenza. |
| Keywords: | Influenza Surveillance Etiology Medical institutions |
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