Infectious Disease Transmission Assessment Using Track-Based Subareas
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Solution Overview
Problem
Existing infectious disease transmission models focus on overall patient simulation and estimation, failing to consider the real transmission process at a fine-grained level, resulting in limited and less accurate assessment results.
Innovation Solution
An assessment method and device that utilize historical and predicted track data to determine matching subareas within a preset area, applying an infectious disease model to simulate transmission trends among assessment subjects in each subarea, considering contact relationships and reducing computational effort by assessing subareas individually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional mathematical models (ordinary differential equations, partial differential equations, and network dynamics models) are used to simulate infectious disease transmission, then the overall number of patients can be estimated, but the real transmission process at fine-grained level cannot be assessed
Solution Approach 1:
The patent divides the population into discrete individuals (assessment objects) and the area into multiple subareas, replacing continuous mathematical models with segmented individual-based modeling. Each assessment object's track data is processed independently to determine matching subareas, enabling fine-grained assessment of transmission processes at individual and local levels while maintaining computational feasibility through modular processing.
2Loss of information
If traditional mathematical models focus on overall patient simulation, then population-level trends can be estimated, but area-specific infection trends cannot be assessed
Solution Approach 1:
The patent applies local quality by assessing infection trends in each subarea individually based on the track data and matching results of assessment objects within that subarea. This enables area-specific infection trend assessment while preserving computational efficiency through localized processing rather than requiring complex global models for each region.
Solution Approach 2:
The patent uses track data (historical and/or predicted) as a copy of actual movement patterns to simulate transmission processes. By copying real-world movement behavior into the simulation framework, the model captures area-specific transmission dynamics without requiring complex local adaptations of the overall model structure.
3Measurement precision
If detailed individual track data processing is performed for each subarea, then fine-grained assessment can be achieved, but computational effort increases
Solution Approach 1:
The patent segments the computational task by processing assessment objects in discrete time slices and assigning them to specific subareas based on matching algorithms. This segmentation enables parallel processing potential and reduces computational resource consumption compared to continuous global modeling, while maintaining fine-grained assessment precision through individual object tracking.
Solution Approach 2:
The patent performs partial action by focusing computational resources on processing track data and determining matching subareas for assessment objects, rather than simulating all possible transmission pathways. This selective processing achieves sufficient assessment precision while controlling computational effort through targeted analysis of relevant data elements.
Data Source
AI summary
The invention provide an assessment method and device for infectious disease transmission, computer equipment and storage medium. The method comprises: obtaining respective target track data corresponding to assessment objects within a preset area in a first time slice; determining a matching subarea to which each assessment object matches in the first time slice based on the target track data; taking at least one of the plurality of subareas as a target subarea, and assessing an assessment object within the target subarea based on an infectious disease model to determine a transmission trend of an infectious disease for the assessment object within the preset area in the first time slice; and taking a next time slice as the first time slice, and re-performing the above steps until end of the target time period to determine a transmission trend of the infectious disease among the assessment objects during the target time period.