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首页> 外文期刊>JMIR public health and surveillance. >Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study
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Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study

机译：通过将Google搜索条件的频率与临床数据进行比较来估算结膜炎的发病率：回顾性研究

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Background Infectious conjunctivitis is contagious and may lead to an outbreak. Prevention systems can help to avoid an outbreak. Objective We aimed to evaluate if Google search data on conjunctivitis and associated terms can be used to estimate the incidence and if the data can provide an estimation for outbreaks. Methods We obtained Google search data over 4 years for the German term for conjunctivitis (“Bindehautentzündung”) and 714 associated terms in 12 selected German cities and Germany as a whole using the Google AdWords Keyword Planner. The search volume from Freiburg was correlated with clinical data from the Freiburg emergency practice (Eye Center University of Freiburg). Results The search volume for the German term for conjunctivitis in Germany as a whole and in the 12 German cities showed a highly uniform seasonal pattern. Cross-correlation between the temporal search frequencies in Germany as a whole and the 12 selected cities was high without any lag. Cross-correlation of the search volume in Freiburg with the frequency of conjunctivitis (International Statistical Classification of Diseases and Related Health Problems [ICD] code group “H10.-”) from the centralized ophthalmologic emergency practice in Freiburg revealed a considerable temporal association, with the emergency practice lagging behind the frequency. Additionally, Pearson correlation between the count of patients per month and the count of searches per month in Freiburg was statistically significant (P=.04). Conclusions We observed a close correlation between the Google search volume for the signs and symptoms of conjunctivitis and the frequency of patients with a congruent diagnosis in the Freiburg region. Regional deviations from the nationwide average search volume may therefore indicate a regional outbreak of infectious conjunctivitis.
机译：背景背膜炎是具有传染性的，可能导致爆发。预防系统可以帮助避免爆发。目的我们旨在评估谷歌搜索数据是否对结膜炎和相关术语的数据可用于估计发病率，并且数据可以提供爆发的估计。方法我们在结膜炎的结膜炎（“Bandehautentzündung”）和714个相关条款中获得了4年以上的谷歌搜索数据，并使用Google AdWords关键字规划师作为整体的12个德国城市和德国的714个相关条款。来自Freiburg的搜索量与来自Freiburg紧急实践（Freiburg大学）的临床数据相关。结果德国德国术语的搜索量为德国作为整体和12个德国城市的季节性季节性模式。德国作为整体的时间搜索频率与12个选定城市之间的互相关高，没有任何滞后。弗赖堡中搜索体积与结膜炎频率的互相关（疾病的国际统计分类和相关的健康问题[ICD]码头组“H10.-”）从弗赖堡的集中式眼科应急实践中显示了相当大的时间关联紧急练习在频率后滞后。此外，每月患者计数与弗莱堡每月的搜索计数之间的Pearson相关性统计学意义（p = .04）。结论我们观察到谷歌搜索体积与结膜炎的迹象和症状与弗莱堡地区一致诊断的患者频率之间的紧密相关性。因此，来自全国平均搜索量的区域偏差可能表明传染性结膜炎的区域爆发。

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