Suppr超能文献

解读谷歌流感趋势数据以了解大流行性 H1N1 流感:新西兰的经验。

Interpreting Google flu trends data for pandemic H1N1 influenza: the New Zealand experience.

机构信息

Department of Public Health, University of Otago, Wellington, New Zealand.

出版信息

Euro Surveill. 2009 Nov 5;14(44):19386.

Abstract

For the period of the spread of pandemic H1N1 influenza in New Zealand during 2009, we compared results from Google Flu Trends with data from existing surveillance systems. The patterns from Google Flu Trends were closely aligned with (peaking a week before and a week after) two independent national surveillance systems for influenza-like illness (ILI) cases. It was much less congruent with (delayed by three weeks) data from ILI-related calls to a national free-phone Healthline and with media coverage of pandemic influenza. Some patterns were unique to Google Flu Trends and may not have reflected the actual ILI burden in the community. Overall, Google Flu Trends appears to provide a useful free surveillance system but it should probably be seen as supplementary rather than as an alternative.

摘要

在 2009 年新西兰大流行 H1N1 流感传播期间,我们将谷歌流感趋势的数据与现有的监测系统进行了比较。谷歌流感趋势的模式与两个独立的全国流感样疾病(ILI)病例监测系统非常吻合(比高峰提前一周和一周后)。它与全国免费健康热线与大流行性流感相关的ILI 相关电话的数据(滞后三周)以及媒体对大流行性流感的报道则不太一致。一些模式是谷歌流感趋势特有的,可能没有反映社区中实际的 ILI 负担。总的来说,谷歌流感趋势似乎提供了一个有用的免费监测系统,但它可能应该被视为补充而不是替代。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验