天气与特定眼科诊断发病率之间的相关性：一项数据库分析
Correlation between weather and incidence of selected ophthalmological diagnoses: a database analysis.
作者信息
Kern Christoph, Kortüm Karsten, Müller Michael, Raabe Florian, Mayer Wolfgang Johann, Priglinger Siegfried, Kreutzer Thomas Christian
机构信息
University Eye Hospital Munich, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.
出版信息
Clin Ophthalmol. 2016 Aug 22;10:1587-92. doi: 10.2147/OPTH.S107656. eCollection 2016.
PURPOSE
Our aim was to correlate the overall patient volume and the incidence of several ophthalmological diseases in our emergency department with weather data.
PATIENTS AND METHODS
For data analysis, we used our clinical data warehouse and weather data. We investigated the weekly overall patient volume and the average weekly incidence of all encoded diagnoses of "conjunctivitis", "foreign body", "acute iridocyclitis", and "corneal abrasion". A Spearman's correlation was performed to link these data with the weekly average sunshine duration, temperature, and wind speed.
RESULTS
We noticed increased patient volume in correlation with increasing sunshine duration and higher temperature. Moreover, we found a positive correlation between the weekly incidences of conjunctivitis and of foreign body and weather data.
CONCLUSION
The results of this data analysis reveal the possible influence of external conditions on the health of a population and can be used for weather-dependent resource allocation.
目的
我们的目的是将我们急诊科的患者总量以及几种眼科疾病的发病率与气象数据相关联。
患者与方法
为进行数据分析，我们使用了临床数据仓库和气象数据。我们调查了每周的患者总量以及所有编码诊断为“结膜炎”“异物”“急性虹膜睫状体炎”和“角膜擦伤”的每周平均发病率。进行了斯皮尔曼相关性分析，以将这些数据与每周平均日照时长、温度和风速联系起来。
结果
我们注意到患者总量随着日照时长增加和温度升高而增加。此外，我们发现结膜炎和异物的每周发病率与气象数据之间存在正相关。
结论
该数据分析结果揭示了外部条件对人群健康可能产生的影响，可用于基于天气的资源分配。
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