The contribution of respiratory pathogens to the seasonality of NHS Direct calls

The contribution of respiratory pathogens to the seasonality of NHS Direct calls
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DOI:
10.1016/j.jinf.2007.04.353
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发表时间:
2007-09-01
影响因子:
28.2
通讯作者:
George, R. C.
George, R. C.
中科院分区:
医学1区
文献类型:
--
作者:
Cooper, D. L.;Smith, G. E.;George, R. C.

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目标:在英国,初级保健被认为承担了一半的感染治疗费用。我们描述了NHS直接呼吸呼叫(初级保健数据的新来源)的季节性变化,并估计了特定呼吸道病原体对这种变化的贡献。研究方法:使用线性回归模型估计特定呼吸道病原体对NHS Direct呼吸呼叫量的每周贡献(英格兰和威尔士,2002-2004年,所有年龄和0-4岁)。结果如下:NHS直接咳嗽和呼吸困难呼叫的年度高峰发生在12月下旬,“感冒/流感”和发烧呼叫的高峰发生在11月至4月。主要解释变量为流感(估计占每100,000/年72.5个电话; 22%的“感冒/流感”电话; 15%的咳嗽;和13%的发热)和肺炎链球菌(55.5/100,000; 33%的“感冒/流感”电话; 20%的咳嗽;和15%的发热(0-4岁))。结论:据估计,呼吸道病毒,特别是流感病毒和RSV,是造成NHS Direct呼吸道呼叫季节性变化的至少50%的原因。这些结果提供了对NHS Direct报告的特定呼吸道疾病负担的估计,并将有助于解释用于提供社区发病率上升预警的综合征监测数据。(c)2007年,英国传染病协会。由爱思唯尔有限公司出版。保留所有权利。
Objectives: Primary care is thought to bear half the cost of treating infections in the UK. We describe the seasonal variation in NHS Direct respiratory calls (a new source of primary care data) and estimate the contribution of specific respiratory pathogens to this variation. Methods: Linear regression models were used to estimate the weekly contribution of specific respiratory pathogens to the volume of NHS Direct respiratory calls (England and Wales, 2002-2004, all ages and 0-4 years). Results: Annual peaks in NHS Direct cough and difficulty breathing calls occurred in late December, with peaks in 'cold/flu' and fever calls occurring between November and April. The main explanatory variables were influenza (estimated to account for 72.5 calls per 100,000/year; 22% of 'cold/flu' calls; 15% of cough; and 13% of fever) and Streptococcus pneumoniae (55.5 per 100,000; 33% of 'cold/flu' calls; 20% of cough;, and 15% of fever (0-4 years)). Conclusions: It is estimated that respiratory viruses, notably influenza and RSV, are responsible for at [east 50% of the seasonal variation in NHS Direct respiratory calls. These results provide estimates of the burden of specific respiratory diseases reported to NHS Direct, and will help interpret syndromic surveillance data used to provide early warning of rises in community morbidity. (c) 2007 The British Infection Society. Published by Elsevier Ltd. All rights reserved.