Mobile Device Infection Probability Detection System
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Solution Overview
Problem
Current methods lack effective solutions for rapidly detecting and tracking viral infections in populations, particularly for airborne pathogens that can spread quickly, such as the 1918 Spanish flu or the 2003 SARS pandemic, posing a significant public health risk.
Innovation Solution
A system and method utilizing mobile devices to collect and analyze location and clinical information, determining infection probabilities, and generating alerts for individuals and geographical areas, by integrating data from various sources including medical reports, user inputs, and environmental data to identify potential infection risks and transmission pathways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional infection detection methods are used, then individual diagnosis can be made, but rapid population-level detection and tracking is not achieved
Solution Approach 1:
The patent uses mobile device location data as a copy or proxy for actual infection status. Instead of testing every individual, the system collects location information from mobile devices and uses this data to infer infection probabilities across populations, enabling rapid detection without direct medical examination of each person
Solution Approach 2:
The patent replaces traditional mechanical medical detection systems with an information-based system using mobile device location data. Instead of physical examinations and laboratory tests for each individual, the system uses digital location tracking and computational analysis to detect and track infections at population level
2Measurement precision
If comprehensive location and clinical data collection is implemented, then infection probability can be accurately determined, but system complexity increases
Solution Approach 1:
The patent makes mobile devices serve multiple functions: they act as location trackers, clinical data collectors, and communication devices. By utilizing the existing multi-functional nature of mobile devices, the system avoids creating separate specialized equipment for each function, thereby reducing overall system complexity while maintaining measurement precision
Solution Approach 2:
The system leverages data that mobile devices already collect and carry for other purposes (location tracking, health apps). Instead of requiring separate dedicated measurement tools, the patent uses existing device capabilities and data to determine infection probabilities, reducing the complexity of additional infrastructure needed
3Reliability
If real-time monitoring of multiple persons is implemented, then disease spread can be tracked, but data processing requirements increase
Solution Approach 1:
The patent divides the population into discrete units represented by individual mobile device locations. By segmenting the population data into manageable location-based units, the system can process information in smaller chunks rather than handling all population data simultaneously, reducing computational resource consumption while maintaining reliable disease spread tracking
Data Source
AI summary
A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations: determining, by the computerized system, that a first person is infected by a first infectious disease; wherein the determination is associated with a first person infection probability attribute; detecting, by the computerized system, based upon location information collected during at least a portion of a first infectious disease manifestation period, the location information being indicative of locations of the first person and other persons, a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease; calculating, by the computerized system, a second person infection probability attribute; and updating, by the computerized system, the first person infection probability attribute in response to the second person infection probability attribute.