Advances in multi-source surveillance data integration and application of early warning indicators for respiratory infectious diseases
10.3760/cma.j.cn112150-20250117-00055
- VernacularTitle:呼吸道传染病多源监测数据整合与预警指标应用研究进展
- Author:
Dazhu HUO
1
;
Ting ZHANG
;
Jinzhao CUI
;
Xiaochen ZHANG
;
Yongtao CHI
;
Yanan WANG
;
Zhe WANG
;
Xin ZHAO
;
Ziliang FAN
;
Chuchu YE
;
Chuangsen FANG
;
Yanming LI
;
Zhongjie LI
;
Weizhong YANG
;
Chen WANG
Author Information
1. 中国医学科学院北京协和医学院卫生健康管理政策学院，北京 100730
- Publication Type:Journal Article
- Keywords:
Respiratory infectious diseases;
Multi-source surveillance;
Data integration;
Early warning indicators
- From:
Chinese Journal of Preventive Medicine
2025;59(8):1311-1319
- CountryChina
- Language:Chinese
-
Abstract:
The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.
