流行病学和数字综合征监测数据显示,巴西的登革热, chikungunya 和 SARI
Marcelo E Borges1, Cláudia T Codeço1, Dalila Machado1,2
1Programa de Computação Científica; Vice-presidência de Educação, Informação e Comunicação; Presidência, Fundação Oswaldo Cruz, Fiocruz, Rio de Janeiro, 21040-900, Brazil.
Scientific data
|January 20, 2026
概括
这项研究创建了一个统一的数据集,将官方疾病报告与谷歌趋势数据联系起来,用于巴西登革热,奇孔古尼亚和SARI. 该资源有助于开发公共卫生实时疫情检测系统.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 数据科学数据科学数据科学
背景情况:
- 载体传播和空气传播的疾病,如登革热, chikungunya,流感和COVID-19易发生流行病.
- 实时疫情监测对于及时的公共卫生干预至关重要.
- 开发有效的监控系统需要统一的数据集进行校准和验证.
研究的目的:
- 为巴西的主要传染病创建官方疾病通知和在线搜索趋势的综合数据集.
- 促进探索数字搜索行为与官方疾病发病率之间的关联.
- 支持开发用于早期疫情检测的现在预测模型.
主要方法:
- 编制了巴西各州登革热,奇孔古尼亚热和严重急性呼吸道感染 (SARI) 官方疾病通知的十年长数据集.
- 集成的谷歌趋势搜索数据每个疾病和相关症状,按流行病学周排列.
- 利用统一的数据结构对监控系统进行校准和验证.
主要成果:
- 成功创建了一个全面的数据集,将官方疾病监测数据与公共在线搜索行为整合起来.
- 该数据集为探索数字流行病学与传统监测之间的关系提供了宝贵的资源.
- 这些综合数据有助于开发用于公共卫生决策的新工具.
结论:
- 开发的数据集允许对数字搜索数据进行实时疾病爆发监测的探索.
- 这种方法可以提高流行病的早期检测,为及时的公共卫生反应提供信息.
- 该研究强调了替代数据源在补充传统流行病学监测方面的潜力.
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