2009-2018年中国各地区流感流行开始时间的比较及气象影响因素

Comparison of onset timing and meteorological factors for influenza epidemic in various areas of China from 2009 to 2018

  • 摘要:
    目的  明确我国城市尺度流感流行开始时间的时空分布情况, 通过比较不同纬度区、年龄组中流感病毒及其亚型的流行开始时间, 探究气象因素与流行开始时间的驱动关系。
    方法  分析2009-2018年中国流感样病例的病原监测数据, 采用移动流行区间法计算上述分组中城市水平各流感流行年的流行开始时间并进行比较, 并通过加性Cox比例风险模型检验流感流行开始时间与气象因素的关联。
    结果  在研究期间, 中国342个主要城市的669家哨点医院共对3 666 453例流感样病例进行了流感病毒检测和分型鉴定。其中, H3N2阳性检出率最高(4.67%), 其次是H1N1pdm09(4.44%)、Yamagata(1.73%)、Victoria(0.83%)和H1N1(0.07%)。在低纬度和中低纬度区, 最高流行峰多发生在12月左右, 首次流行峰多发生在10月左右。在中高纬度和高纬度区, 最高流行峰和首次流行峰通常均发生在12月。与北方相比, 南方的流感首次流行峰通常更早出现;相比其他3种亚型, H3N2的首次流行峰开始时间更早。温度和前一年最高流行峰的峰值以非线性方式影响最高流行峰的开始时间。相对湿度和日照时数则以近似线性的方式显著推迟了最高流行峰的开始时间。
    结论  流感流行的开始时间因纬度区域和流感病毒亚型的不同而有所差异。评估流感流行的时间特征, 有助于对流感的流行进行早期预警并采取相应的预防措施。

     

    Abstract:
    OBJECTIVE  To confirm the spatiotemporal distribution of the epidemic onset of influenza at city scale in China, and to elucidate the motivational relationship between meteorological factors and the timing of onset by comparing the onset time of influenza virus and its subtypes in different latitude areas and age groups.
    METHODS  Nation-wide etiological surveillance data of influenza-like illness (ILI) during 2009-2018 in China were analyzed. The onset time of influenza epidemic was estimated at city scale per epidemic year by the moving epidemic method (MEM), and their association with meteorological factors were tested by additive Cox proportional hazard model.
    RESULTS  A total of 3, 666, 453 ILI cases from 669 sentinel hospitals in 342 major cities of China were tested and sub-typed for influenza virus during the study period. Subtype H3N2 had the highest positive detection rate (4.67%), followed by H1N1pdm09 (4.44%), Yamagata (1.73%), Victoria (0.83%), and H1N1 (0.07%). In low- and low-mid-latitude regions, the onset of the highest epidemic waves (HEWs) mostly occurred around December and the first epidemic waves (FEWs) mostly around October. In high-mid- and high-latitude regions, HEW and FEW both typically occurred in December. FEWs of influenza started generally earlier in the south than those in northern of China; while comparing with other influenza virus subtypes, FEWs of H3N2 occurred early. The onset time of HEW was affected by temperature and peak of previous HEW in a non-linear manner but significantly postponed by relative humidity and sunshine duration in an approximately linear manner.
    CONCLUSIONS  The onset timing of influenza epidemics vary due to the differences of latitude regions and virus subtypes. Assessing the temporal characteristics of influenza epidemics may facilitate early warning and prevention of influenza outbreaks.

     

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