医学信息2025，Vol.38Issue(4)：61-66,6.DOI:10.3969/j.issn.1006-1959.2025.04.009
以社区模型为例的动态人口监测传染病分级预警模型研究
Study on the Classification and Early Warning Model of Infectious Diseases in Dynamic Population Monitoring Based on Community Model
摘要
Abstract
With the goal of"human-specific"infectious disease prevention and control early warning,and the intelligent multi-point trigger infectious disease early warning system as the decision-making guidance,combined with the man-machine early warning management model,the research framework of dynamic population monitoring infectious disease hierarchical early warning model was built.Establish dynamic aggregation of multi-source data and multidimensional index dynamic population model,through centralized research and judgment of scoring rules,grade the scores of early warning personnel into one,two,three,four and four levels of early warning,and drive the"grid management"disposal process to achieve dynamic data,multi-point triggering,research and judgment of assigning and grading early warning.The classification early-warning model of dynamic population monitoring of infectious diseases provides reference for the refinement of the indicators of infectious disease monitoring and early-warning personnel and population dynamic management.关键词
公共卫生/社区治理/动态人口监测/网格化管理Key words
Public health/Community governance/Dynamic population monitoring/Grid management分类
医药卫生引用本文复制引用
林梓瑶,陈枷融,曹嘉乐,陈焕昱,陈意珊,李庆航..以社区模型为例的动态人口监测传染病分级预警模型研究[J].医学信息,2025,38(4):61-66,6.基金项目
2022年省级大学生创新创业训练计划项目(编号:S202211110030) （编号:S202211110030）
