System and method for detection of disease breakouts
First Claim
1. A method for detection of a disease breakout from a subject population comprising:
- continuously receiving, from two or more sensors positioned in a subject environment, information of a population of subjects, wherein the two or more sensors comprise one or more audio sensors and one or more motion sensors positioned along a route of travel of the subject population and one or more underwater sensors positioned in a water source located along the route of travel and wherein the information received from each of the two or more sensors is in a different data format;
comparing the received information of the population of subjects with known disease symptom information, wherein the comparing further comprises comparing a first time period in which no event of interest has occurred to a second period of time in which one or more events of interest have occurred using a machine learning algorithm to determine a distinction between a type of event or a lack of event, and recognize a future event based on the distinction;
in response to determining that the information of the population of subjects exceeds a pre-determined threshold alert level, generating an alert to prevent or control the disease; and
initiating a response or action to inhibit, prevent, control or remedy the outbreak of the disease;
wherein the steps of the method are performed in accordance with a processor and a memory.
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Abstract
Methods are provided for detection of a disease breakout from a mammal population. For example, the method involves continuously receiving, from two or more sensors positioned in a mammal environment, information of a population of mammals, wherein the information received from each of the two or more sensors is in a different data format; comparing the received information of the population of mammals or other animals with known disease symptom information; and in response to determining that the information of the population of mammals exceeds a pre-determined threshold alert level, generating an alert to prevent or control the disease; wherein the steps of the method are performed in accordance with a processor and a memory.
36 Citations
20 Claims
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1. A method for detection of a disease breakout from a subject population comprising:
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continuously receiving, from two or more sensors positioned in a subject environment, information of a population of subjects, wherein the two or more sensors comprise one or more audio sensors and one or more motion sensors positioned along a route of travel of the subject population and one or more underwater sensors positioned in a water source located along the route of travel and wherein the information received from each of the two or more sensors is in a different data format; comparing the received information of the population of subjects with known disease symptom information, wherein the comparing further comprises comparing a first time period in which no event of interest has occurred to a second period of time in which one or more events of interest have occurred using a machine learning algorithm to determine a distinction between a type of event or a lack of event, and recognize a future event based on the distinction; in response to determining that the information of the population of subjects exceeds a pre-determined threshold alert level, generating an alert to prevent or control the disease; and initiating a response or action to inhibit, prevent, control or remedy the outbreak of the disease; wherein the steps of the method are performed in accordance with a processor and a memory. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system comprising:
a memory and a processor operatively coupled to the memory and configured to implement the steps of; continuously receiving, from two or more sensors positioned in a subject environment, information of a population of subjects, wherein the two or more sensors comprise one or more audio sensors and one or more motion sensors positioned along a route of travel of the subject population and one or more underwater sensors positioned in a water source located along the route of travel and wherein the information received from each of the two or more sensors is in a different data format; comparing the received information of the population of subjects with known disease symptom information, wherein the comparing further comprises comparing a first time period in which no event of interest has occurred to a second period of time in which one or more events of interest have occurred using a machine learning algorithm to determine a distinction between a type of event or a lack of event, and recognize a future event based on the distinction; in response to determining that the information of the population of subjects exceeds a pre-determined threshold alert level, generating an alert to prevent or control the disease; and initiating a response or action to inhibit, prevent, control or remedy the outbreak of the disease. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19)
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20. A computer program product comprising a computer readable storage medium for storing computer readable program code which, when executed, causes a computer to:
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continuously receive, from two or more sensors positioned in a subject environment, information of a population of subjects, wherein the two or more sensors comprise one or more audio sensors and one or more motion sensors positioned along a route of travel of the subject population and one or more underwater sensors positioned in a water source located along the route of travel and wherein the information received from each of the two or more sensors is in a different data format; compare the received information of the population of subjects with known disease symptom information, wherein the comparing further comprises comparing a first time period in which no event of interest has occurred to a second period of time in which one or more events of interest have occurred using a machine learning algorithm to determine a distinction between a type of event or a lack of event, and recognize a future event based on the distinction; in response to determining that the information of the population of subjects exceeds a pre-determined threshold alert level, generate an alert to prevent or control the disease; and initiate a response or action to inhibit, prevent, control or remedy the outbreak of the disease.
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Specification