Web queries as a source for syndromic surveillance.
Web queries as a source for syndromic surveillance.
复制标题
网络查询是综合症监测的来源。
DOI：
10.1371/journal.pone.0004378
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发表时间：
2009
期刊：
影响因子：
3.7
通讯作者：
Linde A
中科院分区：
文献类型：
--
作者：
Hulth A;Rydevik G;Linde A
在症状监测领域，利用各种来源进行暴发检测、监测和预测。本文描述了一个医学网站的查询，流感作为一个案例研究。这项工作的假设是，对流感和流感样疾病的询问将为估计每年流感爆发的高峰时间和强度提供基础，这将与现有的实验室和哨点监测一样好。我们计算了两个流感季节提交给瑞典医学网站的搜索日志中与流感相关的各种查询的发生率。这些数字随后被用于生成两个模型，一个用于估计实验室验证的流感病例数量，另一个用于估计瑞典选定的全科医生报告的流感样疾病患者的比例。我们应用了一种为高度相关数据设计的方法，偏最小二乘回归。在我们的工作中，我们发现，某些网络查询流感遵循相同的模式所获得的其他两个监测系统的流感流行，他们有同样的权力，估计流感在社会上的负担。网络查询为尚未寻求护理的患者提供了独特的访问权限。本文显示了潜在的网络查询作为一个准确的，廉价的和劳动力广泛的来源症状监测。
In the field of syndromic surveillance, various sources are exploited for outbreak detection, monitoring and prediction. This paper describes a study on queries submitted to a medical web site, with influenza as a case study. The hypothesis of the work was that queries on influenza and influenza-like illness would provide a basis for the estimation of the timing of the peak and the intensity of the yearly influenza outbreaks that would be as good as the existing laboratory and sentinel surveillance. We calculated the occurrence of various queries related to influenza from search logs submitted to a Swedish medical web site for two influenza seasons. These figures were subsequently used to generate two models, one to estimate the number of laboratory verified influenza cases and one to estimate the proportion of patients with influenza-like illness reported by selected General Practitioners in Sweden. We applied an approach designed for highly correlated data, partial least squares regression. In our work, we found that certain web queries on influenza follow the same pattern as that obtained by the two other surveillance systems for influenza epidemics, and that they have equal power for the estimation of the influenza burden in society. Web queries give a unique access to ill individuals who are not (yet) seeking care. This paper shows the potential of web queries as an accurate, cheap and labour extensive source for syndromic surveillance.
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影响因子：
7.5
作者：
Chapman, WW;Christensen, LM;Olszewski, RT
通讯作者：
Olszewski, RT
影响因子：
3.4
作者：
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通讯作者：
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影响因子：
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作者：
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DOI：
10.1197/jamia.m1219
发表时间：
2002-11-01
影响因子：
6.4
作者：
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通讯作者：
Wagner, M
影响因子：
2
作者：
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通讯作者：
Shmueli, G