Disease Modeling Tool

Technology #ua15-148

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Categories
Researchers
Wolfgang Fink
Associate Professor, Electrical & Computer Engineering
Janet Roveda
Associate Professor, Electrical & Computer Engineering
Managed By
John Geikler
Asst. Director, Physical Science Licensing (520) 626-4605

Title: Disease Modeling Tool

Invention: This technology models the likelihood of infectious disease outbreaks in space and time based on environmental conditions. This unique approach to spatio-temporal modeling combines two different approaches to overcome limitations in traditional ordinary differential equation (ODE) based solutions. The result is the ability to link both micro and macro levels – tying local to broader populations – and providing regional probability maps of disease outbreak and spread.

Background: Existing disease modeling tools assume an outbreak and then simulate the effect of mitigation against disease spread. This invention focuses instead on predicting the likelihood of a regional disease threat based on readily available environmental data. The result is the ability to predict when and where a disease is likely to break out and then tracking its spread.

Applications:

• Timely epidemic warning system

• Mitigation pre-planning

• Applicable to a variety of infectious diseases

• Adaptable to a broader range of applications including biochemistry, mission planning, neurology (e.g. BRAIN Initiative) and robotics

Advantages:

• Overcomes ODE limitations to effectively model over space and time

• Links micro and macro effects

• Utilizes global environmental data

• Adaptable to various environments and diseases

Contact:

John Geikler

Assistant Director, Physical Sciences

Phone: 520.626.4605

JohnG@tla.ariozna.edu