Geolocation Disease Risk Mapping for Early Exposure Identification

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Solution Overview

Problem

Existing systems fail to effectively identify disease-affected areas or areas at risk of natural disasters, particularly for travelers who may not exhibit symptoms until returning home, complicating outbreak control and medical diagnosis.

Innovation Solution

A system and method using a geolocation device to query a disease or environment database, providing a risk rating display on a communication device for identified diseases or environmental phenomena based on current and updated geolocation data, incorporating predictive models and supplementary data like weather and movement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If travelers rely on symptom-based diagnosis, then medical practitioners can diagnose based on visible symptoms, but travelers may not exhibit symptoms until returning home, delaying outbreak control

Engineering Contradiction:

Improveoutbreak control effectivenessVSAvoidtime delay in identification

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary identification of disease-affected areas by analyzing geolocation data and comparing it with known disease outbreak locations before travelers return home. This proactive approach identifies potential exposures early, enabling timely quarantine or medical intervention rather than waiting for symptoms to manifest.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary digital health pass that acts as a mediator between travelers and medical practitioners. This pass contains encoded geolocation and risk assessment information that can be quickly verified by health authorities, eliminating the need to wait for symptom presentation and enabling rapid decision-making.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive disease data is collected from multiple sources, then identification accuracy improves, but system complexity increases

Engineering Contradiction:

Improvedisease risk identification accuracyVSAvoiddata processing system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex data processing task into distinct modules: geolocation data collection, supplementary data acquisition (weather, movement patterns), disease database querying, and risk assessment calculation. Each module handles a specific aspect of the analysis, making the overall system more manageable and maintainable while achieving comprehensive coverage.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs a multi-functional predictive model that processes multiple types of input data (geolocation, weather, movement patterns) through a single unified algorithm to generate risk assessments. This universal approach avoids the need for separate specialized systems for each data type, reducing overall complexity while maintaining comprehensive analysis capabilities.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12593978B2System and method for identifying a disease affected area

Publication Date: 2026.04.07 DISEASE ADVISOR PTY LTD

AI summary

A method for identifying a disease affected area. The method includes activating a geolocation device of an electronic communication device, determining a current geolocation from the geolocation device, querying a disease database from the electronic communication device, to identify one or more diseases associated with the current geolocation, and generating a graphical display on a display of the electronic communication device displaying a risk rating associated with each of the one or more identified diseases associated with the current geolocation.