The present invention provides a method for monitoring tracks and a track monitoring module. The method comprises: maintaining a target list, stored a target track, by a monitoring server; recording a first track related to a first mobile device by a first monitoring application; and comparing the similarity between the first track and the target track by the first monitoring application to generate a comparison result.

An excrement analysis apparatus includes an inputter, a memory, a first analyzer, and a second analyzer. The inputter inputs imaging data captured by an image capture apparatus installed in such a way as to include, in a capturing range, an excretion range of excrement in a toilet bowl of a toilet. The memory temporarily holds the imaging data input by the inputter. The first analyzer analyzes first analysis target data being the imaging data input by the inputter, and outputs notification information to an observer who observes a user of the toilet. The second analyzer analyzes second analysis target data being the imaging data that is input by the inputter and temporarily held by the memory, and outputs detailed information indicating a content of excretion.

A method for monitoring disease across agricultural areas of interest is provided comprising displaying at least one virtual zone corresponding to an agricultural geographic area of interest on a map in an application on a first device, and receiving an alert message when the first device is in proximity to a virtual zone. The at least one virtual zone is defined by at least one geofence. Each virtual zone is associated with a level of risk that indicates a likelihood of an outbreak of a disease detrimental to agriculture. Each virtual zone is configured to receive access notification information from each geofence when tracked devices enter an area defined by that geofence. The access information includes the level of risk associated with other virtual zones from which the tracked devices came. The alert message indicates if the first device should enter that virtual zone.

A method for monitoring disease across agricultural areas of interest is provided comprising displaying at least one virtual zone corresponding to an agricultural geographic area of interest on a map in an application on a first device, and receiving an alert message when the first device is in proximity to a virtual zone. The at least one virtual zone is defined by at least one geofence. Each virtual zone is associated with a level of risk that indicates a likelihood of an outbreak of a disease detrimental to agriculture. Each virtual zone is configured to receive access notification information from each geofence when tracked devices enter an area defined by that geofence. The access information includes the level of risk associated with other virtual zones from which the tracked devices came. The alert message indicates if the first device should enter that virtual zone.

Systems and Methods are disclosed for real-time decryption of a health registry-issued certificate for signaling a user vaccination and/or test status on a user device comprising the steps of: coupling a first user mobile device to a health registry for real-time decryption of a health registry-issued health certificate over a network; outputting on the first user mobile device at least one of an audible output, visual output, vibrational output, and/or textual output based on a pre-defined signaling protocol to signal a user vaccination status based on a token derived from the real-time decrypted health certificate; and decoding a device identifier/tag or token from the first user mobile device by a second user mobile device, fixed access device, or hand-held scanner, signaling to a second user a first user vaccination status based on a pre-defined signaling protocol and the tag/token.

Described herein are heating, ventilation, air conditioning, and refrigeration (HVACR) systems and methods directed to indoor air quality. HVACR systems and methods are based on dynamic people modeling to simulate and/or to monitor airflow impact on pathogen spread in an indoor space. HVACR systems and methods model an indoor space with pathogen killing technology to deploy the pathogen killing technology. HVACR systems and methods are directed to control administration of a pathogen killing technology to an indoor space based on factors that impact airflow including from dynamic analytics, a known input, and/or detection.

Described herein are heating, ventilation, air conditioning, and refrigeration (HVACR) systems and methods directed to indoor air quality. HVACR systems and methods are based on dynamic people modeling to simulate and/or to monitor airflow impact on pathogen spread in an indoor space. HVACR systems and methods model an indoor space with pathogen killing technology to deploy the pathogen killing technology. HVACR systems and methods are directed to control administration of a pathogen killing technology to an indoor space based on factors that impact airflow including from dynamic analytics, a known input, and/or detection.

In an approach to predictive contact tracing, a computer receives a query associated with contact tracing of a person with an infection. A computer retrieves timestamped location data associated with the person over a period of time. Based on the retrieved data, a computer creates a contact graph associated with the person, where the contact graph depicts one or more other people that were in contact with the person over the period of time. A computer retrieves medical data associated with the person and the one or more other people that were in contact with the person over the period of time. Based on the retrieved data, a computer builds a probabilistic model. A computer runs the probabilistic model to provide a prediction of a probability of infection of the one or more other people over the period of time as a result of being in contact with the person.

In an approach to predictive contact tracing, a computer receives a query associated with contact tracing of a person with an infection. A computer retrieves timestamped location data associated with the person over a period of time. Based on the retrieved data, a computer creates a contact graph associated with the person, where the contact graph depicts one or more other people that were in contact with the person over the period of time. A computer retrieves medical data associated with the person and the one or more other people that were in contact with the person over the period of time. Based on the retrieved data, a computer builds a probabilistic model. A computer runs the probabilistic model to provide a prediction of a probability of infection of the one or more other people over the period of time as a result of being in contact with the person.

A method for evaluating a distribution of infected persons includes: acquiring an area to be processed, and dividing the area into a plurality of cells; acquiring personnel attribute information of each cell in each time window of a historical time period; determining a personnel flow probability from each cell to each other cell according to identifications of persons in each cell in each time window; evaluating, for each cell to be processed, personnel infection information of the cell after a time window according to current personnel infection information of the cell, a personnel flow probability from the cell to each other cell, a personnel flow probability from each other cell to the cell, and a preset epidemic model; and determining a distribution of infected persons in the area after the time window according to the personnel infection information of each cell to be processed after the time window.