Patent US10198779

Tracking proximity relationships and uses thereof
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US10198779

1. A method of determining proximity relationships, comprising: (15) (8)

receiving first data regarding a first person at a first location at a first time, wherein the first person has a contagion;

receiving second data regarding a second person at a second location at a second time;

determining whether the first location is within a proximity distance to the second location, wherein the proximity distance has a predetermined value, wherein the predetermined value of the proximity distance is defined by the contagion;

determining whether the first time is within a proximity time period with the second time, wherein the proximity time period has a predetermined value, wherein the predetermined value of the proximity time is defined by the contagion;

defining a proximity relationship for the second person relative to the first person, wherein the defined proximity relationship is positive when the first location is within the proximity distance and the first time is within the proximity time period, or the defined proximity relationship is negative when either the first location is not within the proximity distance or the first time is not within the proximity time period;

in response to the proximity relationship being positive, labeling the second person as being contaminated by the contagion;

in response to the proximity relationship being negative, labeling the second person as being uncontaminated by the contagion; and

saving the label of the second person relative to whether being contaminated or uncontaminated.

2. The method of claim 1, wherein the first data and second data is data from a signal of a mobile computing device (MCD) obtained by a signal tracking device that has been provided to a server computing system. (1) (0)

11. The method of claim 2, wherein the MCD is associated with a person, the MCD has an opted-in application. (1) (0)

12. The method of claim 11, wherein the opted-in application performs one or more of: (0) (3)

3. The method of claim 1, wherein the first location is within a first contagious zone of a first signal tracking device. (0)

4. The method of claim 1, wherein the first data and second data are real time data or historical data. (0)

5. The method of claim 1, wherein the first time is designated to be within a contagion timeframe, and the second time is analyzed to determine whether or not it is within the contagion timeframe of the first time. (0)

6. The method of claim 1, wherein the first location is one or more of: (0) (4)

within a strong proximity zone of a first signal tracking device, the strong proximity zone being defined by an area where the contagion is highly contagious;

within a medium proximity zone of the first signal tracking device, the medium proximity zone being defined by an area where the contagion is moderately contagious;

within a weak proximity zone of the first signal tracking device, the weak proximity zone being defined by an area where the contagion is weakly contagious; and

outside of a weak proximity zone of the first signal tracking device, where being outside of the weak proximity zone is defined by an area where the contagion is not contagious.

7. The method of claim 1, wherein the proximity time period is one or more of: (0) (3)

8. The method of claim 1, wherein the contagion is any virus or microbe or organism or chemical or radiation emitter or other communicable entity. (0)

9. The method of claim 1, wherein the second person does not have the contagion prior to the proximity relationship being positive. (0)

10. The method of claim 1, wherein when the proximity relationship is positive, performing the method with a third person relative to the second person. (0)

13. The method of claim 1, further comprising predicting a travel route of an MCD or a person having a positive proximity relationship based on historical travel data. (0)

14. The method of claim 1, further comprising predicting a travel route of an MCD or a person having a negative proximity relationship based on historical travel data, and performing one or more of the following: (0) (3)

15. The method of claim 1, further comprising monitoring a travel route of a MCD or a person having a negative or positive proximity relationship in real time. (0)

16. The method of claim 1, further comprising: (0) (2)

17. The method of claim 1, further comprising modeling spread of the contagion based on historical travel data for a plurality of first persons, or when the second person becomes infected and then is a new first person in subsequent travel. (0)

18. The method of claim 1, further comprising: (0) (3)

19. A method of determining proximity relationships, comprising: (1) (8)

receiving first data regarding a first person at a first location at a first time, wherein the first person is at a first event;

receiving second data regarding a second person at a second location at a second time;

in response to the proximity relationship being positive, labeling the second person as being exposed to the first event;

in response to the proximity relationship being negative, labeling the second person as being not exposed to the first event; and

saving the label of the second person relative to whether being exposed or unexposed.

20. The method of claim 19, wherein the first event is a natural disaster, terrorist event, catastrophe, or other event. (0)

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Patent US10198779

Tracking proximity relationships and uses thereof

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