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Age-specific Differences in Influenza A Epidemic Curves: Do Children Drive the Spread of Influenza Epidemics?

机译:甲型流感流行曲线的特定年龄差异:儿童是否会导致流行性感冒的蔓延?

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摘要

There is accumulating evidence suggesting that children may drive the spread of influenza epidemics. The objective of this study was to quantify the lead time by age using laboratory-confirmed cases of influenza A for the 1995/1996–2005/2006 seasons from Canadian communities and laboratory-confirmed hospital admissions for the H1N1/2009 pandemic strain. With alignment of the epidemic curves locally before aggregation of cases, slight age-specific differences in the timing of infection became apparent. For seasonal influenza, both the 10–19- and 20–29-year age groups peaked 1 week earlier than other age groups, while during the fall wave of the 2009 pandemic, infections peaked earlier among only the 10–19-year age group. In the H3N2 seasons, infections occurred an average of 3.9 (95% confidence interval: 1.7, 6.1) days earlier in the 20–29-year age group than for youth aged 10–19 years, while during the fall pandemic wave, the 10–19-year age group had a statistically significant lead of 3 days compared with both younger children aged 4–9 years and adults aged 20–29 years (P < 0.0001). This analysis casts doubt on the hypothesis that younger school-age children actually lead influenza epidemic waves.
机译:越来越多的证据表明,儿童可能会推动流感流行。这项研究的目的是使用加拿大社区1995 / 1996-2005 / 2006季实验室确诊的甲型流感病例以及H1N1 / 2009大流行性流感实验室确诊的住院病例,按年龄对交货时间进行量化。随着病例聚集前局部流行病曲线的对齐,感染时间的年龄差异略有差异。就季节性流感而言,10-19岁和20-29岁年龄组的峰值均比其他年龄组早1周,而在2009年大流行的秋季浪潮中,感染仅在10-19岁年龄组中更早达到峰值。 。在H3N2季节,与10-19岁的年轻人相比,20-29岁年龄组的感染平均提前了3.9天(95%置信区间:1.7、6.1)天,而在秋季大流行时,感染发生的时间为10天与19岁年龄段的4-9岁儿童和20-29岁的成年人相比,–19岁年龄组具有3天的统计学显着性(P <0.0001)。这种分析使人们对以下事实的假设产生怀疑:年幼的学龄儿童实际上导致了流感流行。

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