Abstract: The present invention comprises the capture and display of arthropod, human and arthropod-based metadata, which is capable of tracking and displaying the metadata, which is time and location-based, in order to show migration paths of arthropods and/or the diseases they have the potential to carry. This real-time view can help predict future arthropod and disease based on various scenarios such as, but not limited to: increased exposure based on the following: a user's geo-location, date and/or time of year, carrier type, etc. These variables can then assist with the education, awareness and potential prevention of disease.
Type:
Grant
Filed:
February 15, 2019
Date of Patent:
December 20, 2022
Assignee:
THE LIVLYME FOUNDATION
Inventors:
Olivia Newell Goodreau, Holiday Grogan Goodreau, Matthew S. Fox, Jeffrey A. Stauffer, Sean P. Cowan, Gregory J. Maddox, Wilson P. Bridgett, Stephanie A. Perkins