对台湾每月谷歌搜索量和自杀的交叉相关性分析,2012-2022年
Cheng-Fang Yen1,2,3, Yu-Hsuan Lin4,5,6,7, Ray C Hsiao8,9
1Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Depression and anxiety
|June 13, 2025
概括
谷歌搜索"疼痛"和"台湾经济"可能会预测未来的自杀. "催眠"和"过敏"等特定术语也显示了老年人的相关性,有助于预测自杀.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 数字健康数字健康
背景情况:
- 自杀在全球范围内仍然是一个重大的公共卫生问题.
- 了解自杀的预测因素对于预防工作至关重要.
- 数字数据源,如搜索引擎查询,为监测人口心理健康趋势提供了新的途径.
研究的目的:
- 调查谷歌搜索术语与台湾的自杀率之间的潜在关联.
- 检查这些关联在不同的时间滞后 (1,2,3个月).
- 识别特定的搜索术语,这些术语可以作为自杀风险的早期指标.
主要方法:
- 来自台湾死亡原因统计 (2012-2022) 的每日自杀数据的分析.
- 使用谷歌趋势提取37个相关术语的谷歌搜索量.
- 计算月度搜索量和自杀数量之间的交叉相关系数在1,2,3个月的滞后.
主要成果:
- 每月谷歌搜索"疼痛"和"台湾经济"的数量正面地预测了普通人口的每月自杀率.
- 搜索术语"催眠"显示,在3个月的滞后后,65岁及以上的个人中,与自杀率存在负相关性.
- 搜索术语"过敏"在1个月的滞后后,在65岁及以上的个人中,与自杀率有积极的相关性.
结论:
- 谷歌搜索术语"疼痛"和"台湾经济"是整体自杀率的潜在主要指标.
- 搜索术语"催眠"和"过敏"显示了老年人中自杀风险的特定预测价值.
- 这些发现表明,分析特定的谷歌搜索趋势可以增强自杀预测模型.
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