WHO Collaborating Centre for Reference and Research on Influenza, at the Peter Doherty Institute for Infection and Immunity,Victoria 3000,Australia.
School of Population and Global Health,University of Melbourne,Melbourne,Australia.
Epidemiol Infect. 2019 Jan;147:e221. doi: 10.1017/S0950268819001055.
Several studies have reported evidence of interference between respiratory viruses: respiratory viruses rarely reach their epidemic peak concurrently and there appears to be a negative association between infection with one respiratory virus and co-infection with another. We used results spanning 16 years (2002-2017) of a routine diagnostic multiplex panel that tests for nine respiratory viruses to further investigate these interactions in Victoria, Australia. Time series analyses were used to plot the proportion positive for each virus. The seasonality of all viruses included was compared with respiratory syncytial virus (RSV) and influenza A virus using cross-correlations. Logistic regression was used to explore the likelihood of co-infection with one virus given infection with another. Seasonal peaks were observed each year for influenza A and RSV and less frequently for influenza B, coronavirus and parainfluenza virus. RSV circulated an average of 6 weeks before influenza A. Co-infection with another respiratory virus was less common with picornavirus, RSV or influenza A infection. Our findings provide further evidence of a temporal relationship in the circulation of respiratory viruses. A greater understanding of the interaction between respiratory viruses may enable better prediction of the timing and magnitude of respiratory virus epidemics.
呼吸道病毒很少同时达到流行高峰,而且一种呼吸道病毒感染与另一种病毒的合并感染之间似乎存在负相关关系。我们使用了澳大利亚维多利亚州 16 年来(2002-2017 年)常规诊断多重检测试剂盒的结果,该试剂盒检测九种呼吸道病毒,以进一步研究这些相互作用。时间序列分析用于绘制每种病毒阳性的比例。使用交叉相关来比较所有包括的病毒的季节性与呼吸道合胞病毒(RSV)和甲型流感病毒。使用逻辑回归来探索在感染另一种病毒的情况下合并感染的可能性。每年都会观察到甲型流感和 RSV 的季节性高峰,而乙型流感、冠状病毒和副流感病毒的季节性高峰则较少。RSV 平均比甲型流感提前 6 周传播。在感染小核糖核酸病毒、RSV 或甲型流感病毒的情况下,合并感染另一种呼吸道病毒的情况较少。我们的研究结果提供了呼吸道病毒传播中时间关系的进一步证据。更好地了解呼吸道病毒之间的相互作用可能有助于更好地预测呼吸道病毒流行的时间和规模。