Time scaled infection risk and illness assessment method
A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.
1. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining and monitoring positional destinations of a first user using a first mobile electronic device of the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations;
automatically learning activity patterns for the user from the user information;
assigning a user risk assessment to the first user according to locations and/or activities of the user during a predetermined timeframe, wherein the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period, wherein the assigning the user risk assessment comprises: determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities, and wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen;
providing the user risk assessment to a community member via a community member electronic device;
automatically determining a decrease deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the decrease deviation to identify a significance of the deviation;
automatically correlating the significance of the decrease deviation to a possible infection condition; and
automatically alerting the first user via the first mobile electronic device or a second user via a second electronic device of the possible infection condition.
2. The method of claim 1 , further comprising providing the user risk assessment to a community member before an in-person meeting with the first user.
3. The method of claim 2 , wherein the user risk assessment is automatically displayed to the community member upon an electronic meeting request and/or before a scheduled meeting on an electronic calendar.
4. The method of claim 1 , further comprising for each of the locations, determining the assessment score by normalizing the number of infected people in an area around the location.
5. The method of claim 1 , wherein the user risk assessment is a summation of a risk metric for each of a location, an activity, and a duration of the activity and/or at the location.
6. The method of claim 1 , wherein the computer system comprises the first mobile electronic device in wireless communication with a server computer, and the computer system comprises more than one non-transitory recordable medium collectively including a series of preprogrammed instructions that, when executed by the first mobile electronic device and the server computer, cause the computer system to perform the method.
7. The method of claim 1 , wherein the analyzing the decrease comprises correlating a geographic or weather condition with the current location, and identifying the temporary change in the learned activity patterns as based upon the geographic condition.
8. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining and monitoring positional destinations of a first user using a first mobile electronic device of the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations;
automatically learning activity patterns for the user from the user information;
assigning a user risk assessment to the first user according to locations and/or activities of the user during a predetermined timeframe, wherein the assigning the user risk assessment comprises: determining a risk metric for each of the locations and/or activities for the first user to provide a plurality of risk metrics during the predetermined timeframe, computing the user risk assessment from the plurality of risk metrics, determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities, wherein the risk metric is determined from a predetermined assessment score for each of the location and any activity performed at the location, as a function of time at the location and/or performing the activity;
providing the user risk assessment to a community member via a community member electronic device;
automatically determining a decrease deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the decrease deviation to identify a significance of the deviation;
automatically correlating the significance of the decrease deviation to a possible infection condition; and
automatically alerting the first user via the first mobile electronic device or a second user via a second electronic device of the possible infection condition.
9. The method of claim 8 , wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen.
10. The method of claim 9 , wherein the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period.
11. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining and monitoring positional destinations of a first user using a first mobile electronic device of the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations;
automatically learning activity patterns for the user from the user information;
assigning a user risk assessment to the first user according to locations and/or activities of the user during a predetermined timeframe, wherein the assigning the user risk assessment comprises: determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities;
determining any in-person contact of the user for the each of the locations and/or activities;
obtaining a contact person risk assessment for the in-person contact;
adjusting the user risk assessment as a function of the contact person risk assessment;
providing the user risk assessment to a community member via a community member electronic device;
automatically determining a decrease deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the decrease deviation to identify a significance of the deviation;
automatically correlating the significance of the decrease deviation to a possible infection condition; and
automatically alerting the first user via the first mobile electronic device or a second user via a second electronic device of the possible infection condition.
12. The method of claim 11 , further comprising:
determining a risk metric for each of the locations and/or activities for the first user, to provide a plurality of risk metrics during the predetermined timeframe; and
computing the user risk assessment from the plurality of risk metrics.
13. The method of claim 12 , wherein the determining the risk metric for the each of the locations and/or activities comprises comparing a location and/or an activity to a predetermined risk scale.
14. The method of claim 12 , further comprising increasing a risk metric of the user risk assessment upon an in-person contact at the locations and/or activities with a person having a negative risk assessment.
15. The method of claim 11 , wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen, and the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period.
16. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining and monitoring positional destinations of a first user using a first mobile electronic device of the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations;
automatically learning activity patterns for the user from the user information;
assigning a user risk assessment to the first user according to locations and/or activities of the user during a predetermined timeframe, wherein the assigning the user risk assessment comprises: determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities;
automatically associating the first user with a second user at the positional destination, wherein a second user location and/or second user activity is determined;
automatically inferring the location type and/or user activity from the second user location and/or activity;
adjusting the user risk assessment due to in-person contact with the second user;
providing the user risk assessment to a community member via a community member electronic device;
automatically determining a decrease deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the decrease deviation to identify a significance of the deviation;
automatically correlating the significance of the decrease deviation to a possible infection condition; and
automatically alerting the first user via the first mobile electronic device or a second user via a second electronic device of the possible infection condition.
17. The method of claim 16 , wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen, and the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period.
18. A method of determining infection risks for individuals during an epidemic or pandemic, the method executed by a computer system and comprising:
automatically determining and monitoring positional destinations of a first user using a first mobile electronic device of the user;
automatically deducing as user information a location type and/or user activity of each of the positional destinations;
automatically learning activity patterns for the user from the user information;
assigning a user risk assessment to the first user according to locations and/or activities of the user during a predetermined timeframe, wherein the assigning the user risk assessment comprises: determining a corresponding user participation time for the each of the locations and/or activities, and scaling the user risk assessment according to the corresponding user participation time for the each of the locations and/or activities;
providing the user risk assessment to a community member via a community member electronic device;
automatically determining a decrease deviation in the learned activity patterns during or after the predetermined timeframe from further monitoring of further user locations or further user activities;
automatically analyzing the decrease deviation to identify a significance of the deviation, wherein analyzing the decrease deviation comprises: correlating the deviation to a current location of the first user to identify a temporary decrease in the learned activity patterns as a function of the current location not allowing for the learned activity patterns;
automatically correlating the significance of the decrease deviation to a possible infection condition; and
automatically alerting the first user via the first mobile electronic device or a second user via a second electronic device of the possible infection condition.
19. The method of claim 18 , wherein the predetermined timeframe is at least a predetermined incubation or latency period of a contagion or pathogen, and the user risk assessment is a compilation of a plurality of risk metrics determined for the locations and/or activities during the predetermined time period.
20. The method of claim 18 , further comprising providing the user risk assessment to a community member before an in-person meeting with the first user.