Geolocation pathogen-risk assessment with pandemic-bio-surveillance multi pathogen systems
AssigneePandemic Insights, Inc.
InventorEric Klasson
Life of this patent
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Abstract
Provided is a process, including: obtaining geographic regions and geolocations that are places of interest within those geographic regions; obtaining first data about at least some of the plurality of geolocations, wherein the first data is not pathogen specific; obtaining second data about at least some of the plurality of geolocations, wherein the second data is pathogen-specific; determining geolocation-pathogen-risk scores of the geographic regions based on both the first data and the second data; determining geolocation-pathogen-risk scores of the places of interest with a machine learning model trained to allocate risk of geographic regions to places of interest based on at least some of the first data.
Claims30
A tangible, non-transitory, machine-readable medium storing instructions that, when executed by one or more processors, effectuate operations comprising:
- obtaining, with a computer system, a plurality of geolocations from a geographic information system, the plurality of geolocations including both geolocations that are geographic regions and geolocations that are places of interest within those geographic regions;
- obtaining, with the computer system, first data about at least some of the plurality of geolocations, wherein:
- the first data is updated less frequently than a first rate, and
- the first data is not pathogen specific;
- obtaining, with the computer system, second data about at least some of the plurality of geolocations, wherein:
- the second data is updated more frequently than a second rate that is more frequent than the first rate, and
- the second data is pathogen-specific;
- determining, with the computer system, geolocation-pathogen-risk scores of the geographic regions based on both the first data and the second data;
- determining, with the computer system, geolocation-pathogen-risk scores of the places of interest with a machine learning model trained to allocate risk of geographic regions to places of interest within those geographic regions based on at least some of the first data, such that at least some places of interest in the same geographic region have different geolocation-pathogen-risk scores;
- and
- storing, with the computer system, the geolocation-pathogen-risk scores of the places of interest and the geolocation-pathogen-risk scores of the geographic regions in memory.
A method, comprising:
- obtaining, with a computer system, a plurality of geolocations from a geographic information system, the plurality of geolocations including both geolocations that are geographic regions and geolocations that are places of interest within those geographic regions;
- obtaining, with the computer system, first data about at least some of the plurality of geolocations, wherein:
- the first data is updated less frequently than a first rate, and
- the first data is not pathogen specific;
- obtaining, with the computer system, second data about at least some of the plurality of geolocations, wherein:
- the second data is updated more frequently than a second rate that is more frequent than the first rate, and
- the second data is pathogen-specific;
- determining, with the computer system, geolocation-pathogen-risk scores of the geographic regions based on both the first data and the second data;
- determining, with the computer system, geolocation-pathogen-risk scores of the places of interest with a machine learning model trained to allocate risk of geographic regions to places of interest within those geographic regions based on at least some of the first data, such that at least some places of interest in the same geographic region have different geolocation-pathogen-risk scores;
- and
- storing, with the computer system, the geolocation-pathogen-risk scores of the places of interest and the geolocation-pathogen-risk scores of the geographic regions in memory.
Dependencies are inferred from the claim text.