System and method to enable detection of viral infection by users of electronic communication devices

• US 9,075,909 B2
• Filed: 11/19/2012
• Issued: 07/07/2015
• Est. Priority Date: 11/20/2011
• Status: Active Grant

• Current Assignee: Gal Almogy
• Original Assignee: Flurensics, Inc.
• Inventors: Almogy, Gilad, Almogy, Gal
• Primary Examiner(s): Holmes, Michael B
• Application Number:
  US13/680,289
• Publication Number:
  US 20130318027A1
• Time in Patent Office: 960 Days
• Field of Search: 706/52
• US Class Current: 1/1
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations: determining, by the computerized system, that a first person is infected by a first infectious disease; wherein the determination is associated with a first person infection probability attribute; detecting, by the computerized system, based upon location information collected during at least a portion of a first infectious disease manifestation period, the location information being indicative of locations of the first person and other persons, a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease; calculating, by the computerized system, a second person infection probability attribute; and updating, by the computerized system, the first person infection probability attribute in response to the second person infection probability attribute.

Claims

1. A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations:

determining, by the computerized system, that a first person is infected by a first infectious disease;

wherein the determination is associated with a first person infection probability attribute;

detecting, by the computerized system, based upon location information collected during at least a portion of a first infectious disease manifestation period, the location information being indicative of locations of the first person and other persons, a second person that was within an infection distance from the first person and is potentially infected by the first infectious disease;

calculating, by the computerized system, a second person infection probability attribute; and

updating, by the computerized system, the first person infection probability attribute in response to the second person infection probability attribute;

wherein at least one of the following is being held true;

(i) the determining is responsive to at least one of (a) first person medical information fed by the first person, and (b) clinical information related to at least one of the first person and the first infectious disease;

(ii) the determining is responsive to signatures of multiple infectious diseases;

(iii) the location information is collected from hand held devices of the persons;

(iv) the location information is collected from short-range transmission devices carried by the persons;

(v) the determining and the calculating are responsive to demographic information relating to the first and second persons and to a demographic element of the signature of the first infectious disease;

(vi) the determining and the calculating are responsive to demographic information relating to the first and second persons and to a demographic element of the signature of the first infectious disease and the non-transitory computer readable medium further stores instructions for updating, by the computerized system, the first person infection probability attribute and the second person infection probability attribute in response to clinical symptoms information relating to at least one of the first person, second person and the first infectious disease.

2. The non-transitory computer readable medium according to claim 1, wherein the determining is responsive to at least one of (a) first person medical information fed by the first person, and (b) clinical information related to at least one of the first person and the first infectious disease.

3. The non-transitory computer readable medium according to claim 1, wherein the determining is responsive to signatures of multiple infectious diseases.

4. The non-transitory computer readable medium according to claim 1, wherein the location information is collected from hand held devices of the persons.

5. The non-transitory computer readable medium according to claim 4, wherein the location information is collected from short-range transmission devices carried by the persons.

6. The non-transitory computer readable medium according to claim 4, wherein the location information is collected from long-range transmission devices carried by the persons.

7. The non-transitory computer readable medium according to claim 1, wherein the determining and the calculating are responsive to demographic information relating to the first and second persons and to the demographic element of the signature of the first infectious disease.

8. The non-transitory computer readable medium according to claim 1 that stores instructions for updating, by the computerized system, the first person infection probability attribute and the second person infection probability attribute in response to clinical symptoms information relating to at least one of the first person, second person and the first infectious disease.

9. A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations:

receiving, by a computerized system, (a) location information relating to locations of multiple persons within a certain period of time;

(b) clinical symptoms information related to one or more out of (a) at least one person of the multiple persons or (b) at least one of the locations;

evaluating, by the computerized system, probabilities of infections of the multiple persons by at least one infectious disease, in response to the location information and to the clinical symptoms information; and

wherein at least one of the following is being held true;

(i) the non-transitory computer readable medium further stores instruction for generating a person infection alert if a probability of infection of the person by an infectious disease exceeds a first threshold; and

for transmitting the person infection alert to at least the person;

(ii) the non-transitory computer readable medium further stores instruction for generating a geographical zone infection alert if probabilities of at least a predefined number of persons that were, during the certain period of time, within the geographical infection alert exceed a second threshold; and

for transmitting the geographical zone infection alert to a plurality of persons;

(iii) the non-transitory computer readable medium further stores instruction for calculating infectious disease signatures in response to the location information and to the clinical symptoms information;

(iv) the non-transitory computer readable medium further stores instruction for receiving by the computerized system, medical information provided by the persons; and

wherein the evaluating, by the computerized system, of the probabilities of infections of the multiple persons is further responsive to medical information provided by the persons;

(v) the non-transitory computer readable medium further stores instruction for receiving by the computerized system, medical information sensed by mobile devices of the multiple persons; and

wherein the evaluating, by the computerized system, of the probabilities of infections of the multiple persons is further responsive to medical information provided by the persons;

(vi) the non-transitory computer readable medium further stores instruction for receiving voice information sensed by mobile devices of the multiple persons; and

processing the voice information to detect disease related voices;

(vii) the non-transitory computer readable medium further stores instruction for calculating, by the computerized system, infections disease transmission pathways based upon the location information and the clinical symptoms information.

10. The non-transitory computer readable medium according to claim 9 that stores instructions for generating the person infection alert if the probability of infection of the person by the infectious disease exceeds the first threshold;

and for transmitting the person infection alert to at least the person.

11. The non-transitory computer readable medium according to claim 9 that stores instructions for generating the geographical zone infection alert if probabilities of at least the predefined number of persons that were, during the certain period of time, within the geographical infection alert exceed the second threshold;

and for transmitting the geographical zone infection alert to the plurality of persons.

12. The non-transitory computer readable medium according to claim 9 that stores instructions for calculating infectious disease signatures in response to the location information and to the clinical symptoms information.

13. The non-transitory computer readable medium according to claim 9 that stores instructions for receiving by the computerized system, medical information provided by the persons;

and wherein the evaluating, by the computerized system, of the probabilities of infections of the multiple persons is further responsive to medical information provided by the persons.

14. The non-transitory computer readable medium according to claim 9 that stores instructions for receiving by the computerized system, medical information sensed by mobile devices of the multiple persons;

and wherein the evaluating, by the computerized system, of the probabilities of infections of the multiple persons is further responsive to medical information provided by the persons.

15. The non-transitory computer readable medium according to claim 9 that stores instructions for receiving voice information sensed by mobile devices of the multiple persons;

and processing the voice information to detect disease related voices.

16. The non-transitory computer readable medium according to claim 9 that stores instructions for calculating, by the computerized system, infections disease transmission pathways based upon the location information and the clinical symptoms information.

17. A non-transitory computer readable medium that stores instructions for causing a computerized system to perform the following operations:

receiving, by a computerized system,

(a) location information relating to locations of multiple persons at different points of time; and

(b) medical information that comprises at least one of

(i) medical information fed by at least one person;

(ii) medical information sensed by at least one mobile device of at least one person;

(iii) clinical symptoms information related to at least one person; and

(iv) medical symptoms information related to at least one of the locations;

calculating by the computerized system and in response to the location information and to the medical information, infectious diseases signatures that comprise spatial and temporal characteristics of a distribution of the infections diseases; and

wherein at least one of the following is being held true;

i) the non-transitory computer readable medium further stores instruction for evaluating, by the computerized system, probabilities of infections of the multiple persons by at least one infectious disease, in response to the location information and to the, infectious disease signatures;

ii) the non-transitory computer readable medium further stores instruction for receiving by the computerized system demographic information related to at least one of the locations; and

calculating by the computerized system and in response to the location information, the medical information and the demographic information, infectious diseases signatures that comprises environmental condition, spatial and temporal characteristics of the distribution of the infections diseases;

iii) the non-transitory computer readable medium further stores instruction for receiving by the computerized system environmental information related to the multiple locations persons; and

calculating by the computerized system and in response to the location information, the medical information and the demographic information, infectious diseases signatures that comprise demographic, spatial and temporal characteristics of the distribution of the infections diseases.

18. The non-transitory computer readable medium according to claim 17 that stores instructions for evaluating, by the computerized system, probabilities of infections of the multiple persons by at least one infectious disease, in response to the location information and to the, infectious disease signatures.

19. The non-transitory computer readable medium according to claim 17 that stores instructions for receiving by the computerized system demographic information related to at least one of the locations;

and calculating by the computerized system and in response to the location information, the medical information and the demographic information, infectious diseases signatures that comprises environmental condition, spatial and temporal characteristics of the distribution of the infections diseases.

20. The non-transitory computer readable medium according to claim 17 that stores instructions for receiving by the computerized system environmental information related to the multiple locations persons;

and calculating by the computerized system and in response to the location information, the medical information and the demographic information, infectious diseases signatures that comprise demographic, spatial and temporal characteristics of the distribution of the infections diseases.