作者: P. Hardelid , R. Pebody , N. Andrews
DOI: 10.1111/J.1750-2659.2012.00345.X
关键词:
摘要: Background: The mortality burden caused by influenza cannot be quantified directly from death certificates because of under-recording; therefore, the estimated number deaths has to obtained through statistical modelling. Objective: To estimate and respiratory syncytial virus (RSV) in England Wales between 1999 2010 using a multivariable regression model. Methods: Generalised linear models were used weekly age group (<15, 15-44, 45-74 75+years) as function positive RSV isolates. Adjustment was made for temperature variation (using means daily Central time series), underlying seasonal temporal trends. parameters model predict across winter seasons. Results: Between 7000 25000 all ages associated with periods 1999-2009. highest among over 75 group, whom 2·5-8·1% influenza. lowest 2009/2010 when pandemic A/H1N1 (2009) predominant circulating strain. accounted 5000-7500 each season. Conclusions: presented provides robust reasonable approach estimating at end winter. © 2012 Blackwell Publishing Ltd.