2016-2023年上海市某哨点医院流行性感冒病原学监测结果分析

Analysis on etiology surveillance for influenza in a sentinel hospital in Shanghai, 2016−2023

  • 摘要:
    目的 了解上海市嘉定区甲型流行性感冒(流感)和乙型流感的病原学监测结果,为辖区甲、乙型流感的防控提供参考依据。
    方法 收集2016—2023年上海市某哨点医院监测的流感样病例数据资料,对甲、乙型流感病例分布进行描述及统计分析。
    结果 2016—2023年上海市某哨点医院流感病例在不同年份的优势病原不同。 甲型流感和乙型流感均主要集中在每年的12月至次年的4月。 流感病毒阳性率在不同性别病例间差异无统计学意义(χ2=0.752,P>0.05),但在不同年龄组间差异有统计学意义(χ2=51.465,P<0.05)。 甲型流感病毒在≥60岁年龄组病例中阳性率最高,为22.50%(223/991),乙型流感病毒在25~<60岁年龄组病例中阳性率最高,为9.90%(511/5 164)。 ArcGIS地图显示,甲、乙型流感病毒阳性率较高的街镇均在嘉定区南部。全局空间自相关分析显示,两者的阳性率均呈现随机分布(Moran's I>0,P>0.05)。 局部空间自相关分析显示,甲型流感病毒阳性率高-低聚集区在工业区南片地区,低–低聚集区在新成路街道,其余地区未见相关聚集区域;乙型流感病毒阳性率均未见相关聚集区域。 血常规分析显示,甲型流感病例的白细胞计数、中性粒细胞计数、C反应蛋白的均值均高于乙型流感病例,而乙型流感病例的红细胞计数、淋巴细胞计数的均值均高于甲型流感病例,差异均有统计学意义(P<0.05)。
    结论 甲、乙型流感病例在年龄、地区和血常规指标中,均有一定的差异,应继续加强病原学监测,结合发病人群、发病高峰和血常规检测等,为流感的防控提供科学合理的依据。

     

    Abstract:
    Objective To understand the performance of etiological surveillance for influenza A and B in Jiading district of Shanghai, and provide reference for the prevention and control of influenza A and B.
    Methods The incidence data of influenza-like illness (ILI) in Jiading from 2016 to 2023 were collected from a sentinel hospital in Shanghai for the descriptive and statistical analyses on the incidence of influenza A and B.
    Results The predominant pathogens of influenza detected in a sentinel hospital in Shanghai from 2016 to 2023 varied with year. Influenza A and influenza B mainly occurred from December to April. There was no significant difference in the positive rate of influenza virus between men and women (χ2=0.752, P>0.05), but there were significant differences among different age groups (χ2=51.465, P<0.05). The highest positive rate of influenza A virus was 22.50% in age group ≥60 years (223/991), and the highest positive rate of influenza B virus was 9.90% in age group 25-<60 years (511/5 164). ArcGIS map showed that the areas with high positive rate were in southern Jiading. The global spatial autocorrelation analysis showed a random distributions of the positive rates of influenza A and B viruses (Moran's I>0,P>0.05). Local spatial autocorrelation showed that there were high-low clustering of positive rate of influenza A virus in the southern part of the industrial zone, low-low clustering in Xinchenglu street, and no clustering of the positive rate in other areas. No clustering of positive rate of influenza B virus was not found. The routine blood test analysis showed that the means of white blood cell count, neutrophil count and C-reactive protein value were higher in influenza A cases than in influenza B cases, while the means of red blood cell count and lymphocyte count were higher in influenza B cases than in influenza A cases, the differences had significance (P>0.05).
    Conclusion The influenza A and influenza B cases showed different age and area distributions, and the routine blood test indicators varied. It is necessary to further strengthen the etiological surveillance in population at high risk and the season with high incidence and conduct routine blood test to provide evidence for the prevention and control of influenza.

     

/

返回文章
返回