利用谷歌趋势在实施国家强制性通知系统之前和之后识别印度尼西亚结核病趋势
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Updated: Jun 17, 2025

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A Tuberculosis Molecular Bacterial Load Assay TB-MBLA
Published on: April 30, 2020
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Made Ary Sarasmita1, I Wayan Sudarma2, Sri Susanty3
1Pharmacy Study Program, Faculty of Mathematics and Science, Udayana University, Kampus Udayana Street, Bukit Jimbaran, Badung, 80361, Bali, Indonesia.
The Indian journal of tuberculosis
|August 7, 2024
概括
谷歌趋势有效地追踪了印尼对结核病 (TB) 的公众兴趣,特别是在2017年电子通报系统之后. 这些数字数据可以帮助结核病监测工作.
科学领域:
- 公共卫生 公共卫生
- 数字流行病学数字流行病学
- 医疗信息学 医疗信息学
背景情况:
- 结核病 (TB) 在印度尼西亚是一个重大的健康挑战,加之是报告不足.
- 互联网的广泛使用和2017年强制性电子结核病通知系统增加了公众对在线结核病信息的参与度.
研究的目的:
- 评估谷歌趋势数据与印度尼西亚官方结核病监测数据之间的相关性.
- 为了比较在实施强制性结核病通知系统之前和之后的相关性.
主要方法:
- 利用谷歌趋势搜索数据搜索与结核病相关的术语.
- 分析了2017年TB通知系统启动前后的时间序列数据.
- 采用皮尔森的相关性来量化搜索趋势和官方结核病报告之间的关系.
主要成果:
- 结核病信息搜索和2017年后的官方结核病报告之间出现了线性模式.
- 结核病定义和症状搜索与官方报告之间发现了很高的相关性 (R值0.97至-1.00,p ≤0.05).
- 从2016年开始,观察到结核病信息搜索趋势显著增加.
结论:
- 谷歌趋势数据是对印度尼西亚结核病流行病的公众兴趣的有价值指标.
- 建议进一步验证信息搜索行为,以支持将谷歌趋势集成到数字结核病监测系统中.
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