Epidemic intelligence trinity:Detection,risk assessment,and early warning  

作　　者：Ting Zhang Luzhao Feng Shengjie Lai Zhihang Peng Yajia Lan Weizhong Yang 

机构地区：[1]Department of Infectious Diseases,School of Population Medicine and Public Health,Chinese Academy of Medical Science&Peking Union Medical College,Beijing 100730,China [2]WorldPop,School of Geography and Environmental Science,University of Southampton,Southampton,SO171BJ,UK [3]Department of Epidemiology and Health Statistics,School of Public Health,Nanjing Medical University,Nanjing,Jiangsu 211166,China [4]Department of Occupational Health and Environmental Health,West China School of Public Health,Sichuan University,Chengdu,Sichuan 610041,China

出　　处：《Chinese Medical Journal》2024年第11期1313-1315,共3页中华医学杂志（英文版）

基　　金：CAMS Innovation Fund for Medical Sciences(No.2021-I2M-1-044);Natural Science Foundation of China(No.82320108018)

摘　　要：Emerging infectious diseases have been frequently observed.The occurrence of infectious diseases is highly uncertain because of the unpredictability of pathogen,the complexity of occurrence time and site,and the characteristics of transmission.Early detection and immediate implementation of effective interventions within a reasonable time are the keys to preventing pandemics.[1]However,due to the insufficiency of the traditional surveillance and early warning,which relied heavily on passive reporting by healthcare institutions,[2]the early warning time lags behind the risk factor identification,syndrome differentiation(pneumonia of unknown cause),and suspected case confirmation of the infectious disease at the gateway of clustered cases.This paper aimed to face the challenges mentioned above and propose a universal epidemic intelligence model to establish a novel infectious disease surveillance and early warning system based on the trinity of surveillance and detection,risk assessment,and early warning.

关 键 词：mentioned WARNING INTELLIGENCE 

分 类 号：R183[医药卫生—流行病学]