Wearable sensor system configured for monitoring and modeling health data

A computer program product comprising a non-transitory processor-readable storage medium having stored therein executable program code which, when executed, causes at least one processing device:

• to generate a model of an outbreak of a disease, the model of the outbreak of the disease being based at least in part on physiological monitoring data and location data received from a plurality of wearable devices associated with a plurality of users;
• to determine at least a first subset of the plurality of users that have potentially contracted the disease based at least in part on a comparison of the received physiological monitoring data and known symptoms of the disease;
• to identify at least a second subset of the plurality of users that are at risk for contracting the disease from the first subset of the plurality of users utilizing the model of the outbreak of the disease and the received location data for the plurality of users;
• and
• to generate one or more notifications for delivery to at least one of the first and second subsets of the plurality of users, the one or more notifications comprising information related to outbreak of the disease and measures for at least one of treating the disease and mitigating spread of the disease;
• wherein identifying the second subset of the plurality of users that are at risk for contracting the disease from the first subset of the plurality of users comprises:
• determining colocation of at least a first user in the first subset of the plurality of users with at least a second user in the second subset of the plurality of users utilizing at least a first type of location data obtained from at least a first type of sensors of the plurality of wearable devices, the first type of location data comprising geographic location data and the first type of sensors comprising global positioning system (GPS) sensors;
• determining one or more environmental characteristics of a local environment of geographic locations of the first user and the second user, the one or more environmental characteristics characterizing whether the first user and the second user are present at a given geographic location comprising a building with two or more units;
• and
• responsive to the determined one or more environmental characteristics indicating that the first user and the second user are present at the given geographic location, verifying colocation of the second user with the first user utilizing a second type of location data obtained from at least a second type of sensors of the plurality of wearable devices, the second type of location data comprising contextual location information for verifying presence of the second user and the first user within a common one of the two or more units of the building at the given geographic location.

A method comprising:

• generating a model of an outbreak of a disease, the model of the outbreak of the disease being based at least in part on physiological monitoring data and location data received from a plurality of wearable devices associated with a plurality of users;
• determining at least a first subset of the plurality of users that have potentially contracted the disease based at least in part on a comparison of the received physiological monitoring data and known symptoms of the disease;
• identifying at least a second subset of the plurality of users that are at risk for contracting the disease from the first subset of the plurality of users utilizing the model of the outbreak of the disease and the received location data for the plurality of users;
• and
• generating one or more notifications for delivery to at least one of the first and second subsets of the plurality of users, the one or more notifications comprising information related to outbreak of the disease and measures for at least one of treating the disease and mitigating spread of the disease;
• wherein identifying the second subset of the plurality of users that are at risk for contracting the disease from the first subset of the plurality of users comprises:
• determining colocation of at least a first user in the first subset of the plurality of users with at least a second user in the second subset of the plurality of users utilizing at least a first type of location data obtained from at least a first type of sensors of the plurality of wearable devices, the first type of location data comprising geographic location data and the first type of sensors comprising global positioning system (GPS) sensors;
• determining one or more environmental characteristics of a local environment of geographic locations of the first user and the second user, the one or more environmental characteristics characterizing whether the first user and the second user are present at a given geographic location comprising a building with two or more units;
• and
• responsive to the determined one or more environmental characteristics indicating that the first user and the second user are present at the given geographic location, verifying colocation of the second user with the first user utilizing a second type of location data obtained from at least a second type of sensors of the plurality of wearable devices, the second type of location data comprising contextual location information for verifying presence of the second user and the first user within a common one of the two or more units of the building at the given geographic location;
• and
• wherein the method is performed by at least one processing device comprising a processor coupled to a memory.