System and method for detecting, collecting, analyzing, and communicating event-related information

• US 9,489,495 B2
• Filed: 08/28/2008
• Issued: 11/08/2016
• Est. Priority Date: 02/25/2008
• Status: Active Grant

• Current Assignee: Georgetown University
• Original Assignee: Georgetown University
• Inventors: Blake, Jane W., Polyak, Mark G., Li, Peter Chao-Yuan, Collmann, Jeffrey R., Wilson, James M., Yoon, Jae in
• Primary Examiner(s): Maung, Zarni
• Application Number:
  US12/230,397
• Publication Number:
  US 20090216747A1
• Time in Patent Office: 2,994 Days
• Field of Search: 709217-218, 709/219, 709225-229, 709/250, 709/246, 709/201, 702/187, 702/188
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9566 URL specific, e.g. using aliases, detecting broken or misspelled links
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• 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 system and method involves detecting operational social disruptive events on a global scale, assigning disease event staging and warnings to express data in more simplistic terms, modeling data in conjunction with linguistics analysis to establish responsive actions, generating visualization and modeling capabilities for communicating information, and modeling disease propagation for containment and forecasting purposes.

Claims

1. A system for detecting unreported biological or radiation events, comprising:

an information collection and processing subsystem comprising at least one repository database stored in non-transitory computer readable storage media containing documents downloaded from at least one publicly available information source;

an information analysis and reporting subsystem comprising indications and warnings associated with socially disruptive events, the indications and warnings including indirect indications and warnings associated with social disruption, the information analysis and reporting subsystem configured to search the documents for the indirect indications and warnings associated with social disruption;

an alert generation module developed using Bayesian casual models that identifies one or more documents that suggest that an unreported biological or radiation event is unfolding based on the indirect indications and warnings; and

an information communications subsystem that outputs the documents that suggest that an unreported biological or radiation event is unfolding.

2. The system of claim 1, wherein the alert generation module is based on Bayesian probability, wherein probability is the degree or strength of belief that an unreported biological or radiation event is unfolding.

3. The system of claim 1, wherein the information collection and processing subsystem is configured to download the documents from the at least one publicly available information source.

4. The system of claim 1, wherein the information collection and processing subsystem is configured to download documents from a plurality of publicly available information sources.

5. The system of claim 1, wherein the information collection and processing subsystem is configured to download documents from an additional publicly available information source selected based on a biosurveillance objective.

6. The system of claim 1, wherein the system is further configured to identifying documents relevant to a geographic region of interest selected based on a biosurveillance objective.

7. The method of claim 1, wherein the information analysis and reporting subsystem searches documents for indirect indications and warnings comprises selected based on a biosurveillance objective.

8. The system of claim 1, wherein social disruption comprises alteration in the normal functioning of a social system that, under extreme conditions, can lead to the collapse of social infrastructure.

9. The system of claim 1, wherein the indirect indications and warnings associated with social disruption comprise reports of official acceptance or denial, official action, demand for medical services, local perception of threat, business practice changes, integrity of infrastructure, or suggestion that individuals or organizations have begun changing their daily routine activities.

10. A method of detecting unreported biological or radiation events, the method comprising:

storing, by an information analysis and reporting subsystem, indications and warnings associated with socially disruptive events on non-transitive computer readable media, the indications and warnings including indirect indications and warnings associated with social disruption;

downloading, by an information collection and processing subsystem, documents from at least one publicly available information source;

storing the documents in a repository database stored in non-transitory computer readable storage media;

searching the documents, by the information analysis and reporting subsystem, for the indirect indications and warnings associated with social disruption; and

identifying, by an alert generation module developed using Bayesian casual models, one or more documents that suggest that an unreported biological or radiation event is unfolding based on the indirect indications and warnings.

11. The method of claim 10, further comprising:

outputting the documents that suggest that an unreported biological or radiation event is unfolding.

12. The method of claim 10, further comprising:

outputting links to the documents that suggest that an unreported biological or radiation event is unfolding.

13. The method of claim 10, wherein the alert generation module is based on Bayesian probability, wherein probability is the degree or strength of belief that an unreported biological or radiation event is unfolding.

14. The method of claim 10, further comprising:

identifying the at least one publicly available information source from a plurality of publicly available information sources.

15. The method of claim 10, further comprising:

identifying a biosurveillance objective.

16. The method of claim 15, further comprising:

identifying additional publicly available information sources based on the biosurveillance objective.

17. The method of claim 15, further comprising:

selecting a geographic region of interest based on the biosurveillance objective.

18. The method of claim 17, further comprising:

identifying documents relevant to the geographic region of interest.

19. The method of claim 15, wherein searching the documents for indirect indications and warnings comprises searching the documents for indications and warnings selected based on the biosurveillance objective.

20. The method of claim 10, wherein social disruption comprises alteration in the normal functioning of a social system that, under extreme conditions, can lead to the collapse of social infrastructure.

21. The method of claim 10, wherein the indirect indications and warnings associated with social disruption comprise reports of official acceptance or denial, official action, demand for medical services, local perception of threat, business practice changes, integrity of infrastructure, or suggestion that individuals or organizations have begun changing their daily routine activities.