利用谷歌趋势估算自杀发生率统计数据。
Estimating suicide occurrence statistics using Google Trends.
作者信息
Kristoufek Ladislav, Moat Helen Susannah, Preis Tobias
机构信息
1Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, Coventry, CV4 7AL UK.
2Institute of Economic Studies, Faculty of Social Sciences, Charles University, Opletalova 26, Prague, 110 00 Czech Republic.
出版信息
EPJ Data Sci. 2016;5(1):32. doi: 10.1140/epjds/s13688-016-0094-0. Epub 2016 Nov 8.
UNLABELLED
Data on the number of people who have committed suicide tends to be reported with a substantial time lag of around two years. We examine whether online activity measured by searches can help us improve estimates of the number of suicide occurrences in England before official figures are released. Specifically, we analyse how data on the number of searches for the terms 'depression' and 'suicide' relate to the number of suicides between 2004 and 2013. We find that estimates drawing on data are significantly better than estimates using previous suicide data alone. We show that a greater number of searches for the term 'depression' is related to fewer suicides, whereas a greater number of searches for the term 'suicide' is related to more suicides. Data on suicide related search behaviour can be used to improve current estimates of the number of suicide occurrences.
ELECTRONIC SUPPLEMENTARY MATERIAL
The online version of this article (doi:10.1140/epjds/s13688-016-0094-0) contains supplementary material.
未标注
关于自杀人数的数据往往会在大约两年的相当长的时间滞后后才被报道。我们研究通过搜索来衡量的网络活动是否能帮助我们在官方数据发布之前改进对英格兰自杀事件数量的估计。具体而言，我们分析了2004年至2013年期间“抑郁症”和“自杀”这两个词的搜索次数数据与自杀人数之间的关系。我们发现，利用搜索数据得出的估计比仅使用先前自杀数据的估计要好得多。我们表明，“抑郁症”一词搜索次数的增加与自杀人数的减少有关，而“自杀”一词搜索次数的增加与自杀人数的增加有关。与自杀相关的搜索行为数据可用于改进当前对自杀事件数量的估计。
电子补充材料
本文的在线版本（doi:10.1140/epjds/s13688 - 016 - 0094 - 0）包含补充材料。
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