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目的了解鹰潭市流感流行病学特征,为流感防控工作提供科学依据。方法主要采用RT-PCR方法进行流感病毒核酸检测和亚型鉴定,对2009年8月-2012年7月,鹰潭市2家哨点医院及暴发疫情的ILI标本检测数据,采用Excel2003和SPSS12.0进行绘图及统计分析。结果该期间流感病毒核酸检测:共采集ILI标本2 303份,检出阳性305份,其中A型新甲H1 141份(占46.23%)、季H3 19份、未分型85份,B型60份;总阳性率为13.24%(305/2303),其中2009年为26.92%(172/639),暴发疫情为41.67%(10/24);于2009年11月(阳性率最高31.82%)、2010年2月和10月、2011年2月、2012年2月和7月,先后出现了6次大、小高峰,各峰期分别以新甲H1(占77.55%)、新甲H1、A未分型、新甲H1、B型和季节性H3流感为主要优势株;0~15岁阳性人数占4年阳性总数90.16%(尤以0~5岁占比最高64.59%);男女阳性率无差异。结论鹰潭市该期间流感病毒核酸检测总阳性率明显低于其他省市报道,流感监测及防控重点是冬春季节0~15岁人群新甲H1流感的发病情况,并密切关注流感毒株的流行趋势。
Objective To understand the epidemiological characteristics of influenza in Yingtan City and provide a scientific basis for prevention and control of influenza. Methods RT-PCR method was used to detect influenza virus nucleic acid and subtype identification. From August 2009 to July 2012, two sentinel hospitals in Yingtan and outbreak ILI specimens were detected by Excel2003 and SPSS12.0 Drawing and statistical analysis. Results During the period, 2 303 ILI samples were collected and 305 were positive, of which 141 were type A (46.23%), 19 were season H3, 85 were non-typed, and 60 were type B The total positive rate was 13.24% (305/2303), of which 26.92% (172/639) in 2009 and 41.67% (10/24) in outbreak. In November 2009 (the highest positive rate was 31.82%), February and October 2010, February 2011, February 2012 and July 2012, there were six large and small peaks successively. Each peak period was divided into three groups: the new H1N1 (77.55%), the new H1N1 Undifferentiated, the new dominant H1, B and seasonal influenza H3 as the main dominant strains; 0 to 15-year-old number of positive 4-year positive 90.16% (especially 0-5 years old accounted for the highest 64.59%); male and female positive rate No difference. Conclusion The positive rate of influenza virus nucleic acid detection in Yingtan City during this period was significantly lower than that reported in other provinces and cities. The focus of influenza surveillance and prevention and control was influenza H1N1 influenza in 0-15-year-old people in winter and spring. trend.