摘要多源数据整合与预警指标体系构建是提升呼吸道传染病监测与预警能力的关键。由于呼吸道传染病的传播途径多样且影响因素复杂，其监测数据与预警指标具有多源异构性和复杂关联的特征。不同监测预警场景对数据类型及指标的需求差异明显，因此准确把握各类数据的价值与适用范围尤为重要。本文系统梳理国内外呼吸道传染病监测数据类型和预警指标的研究现状，重点分析不同类型数据与指标在多样化应用场景中的适用性与价值，旨在为构建韧性高效的呼吸道传染病监测预警体系提供理论依据与方法支撑。

abstractsThe 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.