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弥合预测差距:一种混合早期预警系统,用于在LMIC中进行可扩展和实时的登革热监测

Dang Anh Tuan1, Pham Vu Nhat Uyen2

  • 1Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 70000, Vietnam.

Acta tropica
|August 3, 2025
PubMed
概括

一个新的混合早期预警系统 (EWS) 将历史数据与实时信号相结合,以改善低收入和中等收入国家 (LMICs) 的登革热监测. 这种方法显著减少了响应时间,并提高了预测准确度,以获得更好的公共卫生结果.

关键词:
登革热监测监测登革热的情况数字公共卫生数字公共卫生预警系统 (EWS) 是一种早期预警系统.卫生系统性 卫生系统性混合动力模型 混合动力模型小微创新型国家和地区 (LMIC)机器学习 机器学习预测建模的预测建模.实时分析实时分析.媒介性疾病 媒介性疾病是由载体传播的疾病.

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