Ma Y H, Yin Y, Wang K, Zhou S J, Tong X L, Li Y M, Wang X L, Wang L P, Feng L Z, Yang W Z, Peng Z H
School of Public Health, Nanjing Medical University, Nanjing 211166, China.
The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2023 Oct 6;57(10):1529-1535. doi: 10.3760/cma.j.cn112150-20230610-00455.
With the outbreak of infectious diseases, more and more attention has been paid to surveillance and early warning work. Timely and accurate monitoring data is the basis of infectious diseases prevention and control. Effective early warning methods for infectious diseases can improve the timeliness and sensitivity of early warning work. This paper briefly introduces the intelligent early warning model of infectious diseases, summarizes the emerging surveillance and early warning methods of infectious diseases, and seeks the possibility of diversified surveillance and early warning in different epidemic stages and different outbreak scenarios of infectious diseases. This paper puts forward the idea of constructing a diversified method system of infectious diseases surveillance and early warning based on multi-stages and multi-scenarios and discusses the future development trend of infectious diseases surveillance and early warning, in order to provide reference for improving the construction level of infectious diseases surveillance and early warning system in China.
随着传染病的爆发,传染病监测与预警工作越来越受到重视。及时、准确的监测数据是传染病防控的基础。有效的传染病预警方法可以提高预警工作的及时性和敏感性。本文简要介绍了传染病智能预警模型,总结了传染病新兴的监测与预警方法,并探寻在传染病不同流行阶段和不同暴发情景下进行多元化监测与预警的可能性。本文提出构建基于多阶段、多情景的传染病监测与预警多元化方法体系的构想,并探讨传染病监测与预警的未来发展趋势,以期为提高我国传染病监测与预警体系建设水平提供参考。