Statistics Unit, Health Protection Agency Centre for Infections, London, UK.
Influenza Other Respir Viruses. 2013 Jan;7(1):35-45. doi: 10.1111/j.1750-2659.2012.00345.x. Epub 2012 Mar 9.
The mortality burden caused by influenza cannot be quantified directly from death certificates because of under-recording; therefore, the estimated number of influenza deaths has to be obtained through statistical modelling.
To estimate the number of deaths caused by influenza and respiratory syncytial virus (RSV) in England and Wales between 1999 and 2010 using a multivariable regression model.
Generalised linear models were used to estimate weekly deaths by age group (<15, 15-44, 45-74 and 75+ years) as a function of positive influenza and RSV isolates. Adjustment was made for temperature variation (using weekly means of daily Central England temperature time series), underlying seasonal variation and temporal trends. The parameters from the model were used to predict the number of deaths caused by influenza and RSV across winter seasons.
Between 7000 and 25 000 deaths across all ages were associated with influenza in the winter periods 1999-2009. The mortality burden was the highest among the over 75 age group, among whom 2·5-8·1% of deaths were caused by influenza. The lowest number of influenza deaths was estimated for the winter 2009/2010 when pandemic influenza A/H1N1 (2009) was the predominant circulating strain. RSV accounted for 5000-7500 deaths each winter season.
The model presented provides a robust and reasonable approach to estimating the number of deaths caused by influenza and RSV by age group at the end of each winter.
由于记录不完整,流感导致的死亡负担无法直接从死亡证明中量化;因此,必须通过统计模型来估计流感死亡人数。
使用多变量回归模型估计 1999 年至 2010 年期间英格兰和威尔士因流感和呼吸道合胞病毒(RSV)导致的死亡人数。
广义线性模型用于估计按年龄组(<15 岁、15-44 岁、45-74 岁和 75 岁以上)划分的每周死亡人数,作为流感和 RSV 阳性分离物的函数。对温度变化(使用英格兰中部每日温度时间序列的每周平均值)、基本季节性变化和时间趋势进行了调整。该模型的参数用于预测整个冬季流感和 RSV 导致的死亡人数。
1999 年至 2009 年冬季期间,所有年龄段与流感相关的死亡人数在 7000 至 25000 人之间。75 岁以上年龄组的死亡率最高,其中 2.5%-8.1%的死亡归因于流感。估计 2009/2010 年冬季流感死亡人数最低,当时甲型 H1N1 流感(2009 年)是主要流行株。每个冬季 RSV 导致 5000-7500 人死亡。
该模型为估计每个冬季按年龄组划分的流感和 RSV 导致的死亡人数提供了一种稳健合理的方法。