An automatic assessment system and method for risk of cross-border transmission of infectious diseases

By optimizing the transmission dynamics model and combining it with multi-level transportation networks and population contact patterns, multi-source data is integrated to generate risk assessment results for cross-border importation of infectious diseases. This solves the problems of insufficient data integration and quantitative standards in traditional assessment methods, and realizes systematic risk analysis and intelligent decision support.

CN122266819APending Publication Date: 2026-06-23HOHHOT INT TRAVEL HEALTH CARE CENT (HOHHOT CUSTOMS PORT OUTPATIENT DEPT)
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Patent Information

Application Number
CN202610647464.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-12
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Traditional risk assessments of cross-border importation of infectious diseases fail to effectively integrate multi-source dynamic data, lack unified quantitative standards, and struggle to form a standardized urban vulnerability index, thus hindering automated assessment and intelligent decision-making.

Method used

The propagation dynamics model is optimized by adopting a multi-level transportation network topology and heterogeneous population contact patterns. Combined with global epidemic monitoring, cross-border personnel flow and urban vulnerability data, the improved spatiotemporal propagation model algorithm generates risk assessment results, which are then combined with geographic information and pushed to the risk warning and decision support platform.

Benefits of technology

It enables systematic analysis and quantitative assessment of cross-border infectious disease risks, generates standardized spatiotemporal risk distribution data, and supports automated assessment and intelligent decision-making.

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Abstract

The present application relates to the technical field of public health assessment, in particular to a kind of infectious disease cross-border input propagation risk automatic evaluation system and method, comprising: collecting global epidemic monitoring, cross-border personnel flow, destination city vulnerability and pathogen characteristics multi-source dynamic data.Improved space-time propagation model algorithm is used, relies on multi-level traffic network topology and heterogeneous population contact mode to optimize propagation dynamics, generates epidemic evolution simulation and risk output intensity.Cross-border personnel flow data is aggregated by trajectory analysis, personnel migration network and traffic intensity are extracted, and vulnerability index is obtained by quantifying city multidimensional vulnerability data.Multiple assessment elements are input into risk assessment fusion calculation engine to generate quantitative input propagation risk results for each destination city, and risk spatiotemporal distribution map is constructed by combining geographic information and pushed to risk early warning and decision support platform.
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