Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways
10.3760/cma.j.cn112338-20241022-00648
- VernacularTitle:不明原因肺炎监测的现状、挑战及实施路径概述
- Author:
Boer QI
1
;
Qing WANG
;
Ju WANG
;
Tingting LI
;
Yanlin CAO
;
Rui SHEN
;
Li QI
;
Jiang LONG
;
Weizhong YANG
;
Luzhao FENG
Author Information
1. 中国医学科学院北京协和医学院群医学及公共卫生学院，北京 100730
- Publication Type:Journal Article
- Keywords:
Pneumonia of unknown etiology;
Emerging and reemerging infectious disease;
Surveillance;
Respiratory infectious diseases
- From:
Chinese Journal of Epidemiology
2025;46(5):914-920
- CountryChina
- Language:Chinese
-
Abstract:
The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of their severity. This paper summaries the surveillance methods for pneumonia of unknown etiology and emerging and reemerging infectious diseases globally, indicating that such surveillance is mainly conducted based on hospital. Western countries primarily combine active and passive surveillance while utilizing artificial intelligence technology to rapidly identify cases. China mainly use passive surveillance based on the surveillance system for pneumonia of unknown etiology, with the function of early warning in the identification of emerging infectious diseases, such as avian influenza. However, with the improvement in the surveillance system operation, the overlap with other surveillance disease systems, such as influenza, has occurred, and the improvements in case definition and operational protocol are needed. It is recommended to improve the specificity of the case definition, strenthen training in hospital staff, inclduing clinical workers and office workers, and formulate incentive mechanisms. It is necessary to emphasize the responsibility of clinicians as the main force for the detection and reporting of pneumonia of unknown etiology and emerging infectious diseases, improve the appilication of artifical intelligent technique and conduct multi-source surveillance, such as third-party testing.
