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Impact of influenza and respiratory syncytial virus on mortality in England and Wales from January 1975 to December 1990.

机译:1975年1月至1990年12月在英格兰和威尔士,流感和呼吸道合胞病毒对死亡率的影响。

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摘要

The effects of influenza A and B and RSV on mortality in England and Wales were assessed by regression analysis for the period 1975-90. Morbidity data from sentinel practices were used to calculate 4-weekly rates of aggregated upper respiratory tract infections (URTI); PHLS laboratory reports were used as indices of infection, and 4-weekly death rates from all causes, excluding childbirths, were used to study relationships with mortality. Deaths correlated strongly with influenza A and B reports, temperature, and interactions between aggregated URTI and temperature, and RSV outbreaks and temperature. Estimates of 'seasonal' 4-weekly mortality associated with URTI were made by substituting into primary regression models the mean of annual trough consultation rates for aggregated URTI and baseline values for RSV and influenza. Peak 4-weekly mortality associated with URTIs was estimated at c. 24000 and c. 28000 during combined influenza and RSV epidemics of 1975-6 and 1989-90 respectively. Secondary regression analysis was carried out with the estimated 'seasonal' 4-weekly deaths associated with URTI as dependent variable and laboratory data as regressors. Estimated excess mortality associated with influenza was considerable even during years without major epidemics. Overall during the 15 winters the estimated mortality associated with RSV was 60-80% more than that associated with influenza. The modelling permits only a crude estimate of RSV associated mortality. None the less it suggests that RSV is an important cause of winter mortality.
机译:通过回归分析评估了1975-90年期间,甲型和乙型流感以及RSV对英格兰和威尔士死亡率的影响。前哨实践的发病率数据用于计算每4周累积的上呼吸道感染(URTI)的比率; PHLS实验室报告被用作感染指标,并使用所有原因(不包括分娩)的4周死亡率来研究与死亡率的关系。死亡与甲型和乙型流感的报告,温度以及URTI和温度汇总之间的相互作用以及RSV爆发和温度密切相关。通过将主要URTI的年度低谷咨询率平均值以及RSV和流感的基线值代入主要回归模型,可以估算与URTI相关的“季节性” 4周死亡率。与URTIs相关的4周最高死亡率估计为c。 24000和c。分别在1975-6和1989-90流感和RSV合并流行中达到28000。进行二次回归分析,将与URTI相关的估计的“季节性” 4周死亡人数作为因变量,将实验室数据作为回归指标。即使在没有重大流行病的年份,估计与流感相关的额外死亡率也相当可观。总体而言,在15个冬季中,与RSV相关的估计死亡率比与流感相关的死亡率高60-80%。该模型仅允许粗略估算与RSV相关的死亡率。尽管如此,它表明RSV是冬季死亡率的重要原因。

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    Nicholson, K. G.;

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  • 年度 1996
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