大数据环境下的突发公共卫生事件具有海量信息源、多元信息种类等特性，信息聚合作为构建多维度、跨媒体信息聚合体系的新方法，为突发公共卫生事件决策信息的有序整理与利用提供了新思路。文章通过分析和归纳突发公共卫生事件的风险研判流程和事件参与主体的决策信息需求与信息来源，构建形成基于语义关系、主要包含数据处理层、语义聚合层和服务应用层三部分的突发公共卫生事件信息语义聚合模式，实现了对如何构建突发公共卫生事件决策信息语义聚合模式的方法性探究。同时，以2003年初非典（SARS）病毒传染事件为例，对决策信息中的事件数据和信息进行语义层面的聚合，验证了所提出的信息聚合模式的可行性和科学性。

Public health emergencies in the big data environment have the characteristics of massive information sources and multiple types of information. As a new method of constructing a multi-dimensional and cross-media information aggregation system, information aggregation provides a new idea for the orderly arrangement and utilization of the information. By analyzing and summarizing the risk research and judgment process of public health emergencies and the decision-making information needs and sources of event participants, a semantic aggregation model of public health emergencies information based on semantic relationships is constructed. The overall design of the aggregation mode is divided into data, the processing layer, the semantic aggregation layer and the service application layer are three parts, namely from data processing, information aggregation and resource application, to realize the methodological exploration of how to construct the semantic aggregation mode of decision-making information for public health emergencies. At the same time, taking the SARS virus infection incident in early 2003 as an example, the event data and information in the decision-making information were aggregated at the semantic level to verify decision-making information for emergencies. Related research provides new ideas and development directions.