现在通过将官方监测数据和谷歌趋势信息结合起来,在巴西传播登革热
Yang Xiao1, Guilherme Soares1,2, Leonardo Bastos3
1Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
PLoS neglected tropical diseases
|August 18, 2025
概括
这项研究表明,使用谷歌趋势数据可以提高巴西登革热现在预测的准确性. 整合数字数据可以加强公共卫生监测,以更好地预防和控制登革热.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 数字流行病学数字流行病学
背景情况:
- 登革热给全球健康带来了重大挑战,特别是在热带和亚热带地区.
- 传统的登革热监测系统通常依赖于延迟的数据,阻碍及时干预.
- 现在预测方法对于估计报告不足的病例和快速决策至关重要.
研究的目的:
- 为了评估谷歌趋势数据对巴西登革热病例的现在预测的有用性.
- 为了比较不同的现在预测模型,包括那些整合官方数据和数字搜索趋势的模型.
- 评估登革热的准确性和及时性,现在用于公共卫生应用.
主要方法:
- 使用官方登革热病例数据,谷歌趋势指数和综合数据进行自回归模型的比较.
- 评估巴西各州每周登革热病例的现在预测表现 (2024年3月至2025年1月).
- 利用错误指标和覆盖概率来评估模型准确性.
主要成果:
- 纳入谷歌趋势数据的模型在巴西各州的每周登革热现状报告中表现出更高的准确性.
- 数字数据的整合为实时登革热活动水平提供了有价值的见解.
- 登革热追踪器网站是为了显示现状和趋势而开发的,以提高情境意识.
结论:
- 数字数据源,如谷歌趋势,显著提高登革热现在广播能力.
- 将替代数据流整合到传统的监测系统中可以改善公共卫生决策.
- 该研究强调了数字流行病学在实时疾病监测和应对方面的潜力.
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