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.

The present disclosure provides systems and methods for machine learning classification and assessment of COVID-19 disease based on gene expression data. In an aspect, a method for determining a COVID-19 disease state of a subject may comprise: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci; (b) computer processing the data set to determine the COVID-19 disease state of the subject; and (c) electronically outputting a report indicative of the COVID-19 disease state of the subject.

The present disclosure provides systems and methods for machine learning classification and assessment of COVID-19 disease based on gene expression data. In an aspect, a method for determining a COVID-19 disease state of a subject may comprise: (a) assaying a biological sample obtained or derived from the subject to produce a data set comprising gene expression measurements of the biological sample at each of a plurality of COVID-19 disease-associated genomic loci; (b) computer processing the data set to determine the COVID-19 disease state of the subject; and (c) electronically outputting a report indicative of the COVID-19 disease state of the subject.

Systems and methods are provided for detecting a potential for dewpoint respiratory inoculation (DRI). A method includes detecting a change in temperature over time, determining a slope of the change in temperature, comparing the slope of change in temperature with a slope threshold, and if the slope of change in temperature exceeds the slope threshold, then signaling a potential for dewpoint respiratory inoculation. Detection systems can include a personal device with temperature and humidity detectors, a processor for collecting data and identifying conditions that may provoke DRI, and providing a signal to the user.

Systems and methods are provided for detecting a potential for dewpoint respiratory inoculation (DRI). A method includes detecting a change in temperature over time, determining a slope of the change in temperature, comparing the slope of change in temperature with a slope threshold, and if the slope of change in temperature exceeds the slope threshold, then signaling a potential for dewpoint respiratory inoculation. Detection systems can include a personal device with temperature and humidity detectors, a processor for collecting data and identifying conditions that may provoke DRI, and providing a signal to the user.

The present disclosure presents at least one communication interface for prediction of data related to health conditions, wherein the at least one communication interface is configured to receive health-related data, preferably comprising measurement data, from a first user device of a first user, associated with a first time and a first location. The at least one communication interface additionally comprises at least one processor configured to utilize said received health-related data to generate predictive data to be indicated to a second user device of a second user associated with a second time and a second location.

The present disclosure provides a monitoring, tracing, early-warning and control system and method for virus spreading in a building. Indoor and outdoor environmental parameters of the building can be monitored in real time. Human physiological indexes are obtained in real time to determine a human health state, and moving trajectories of people and droplet spreading trajectories are obtained. Therefore, suspected infected persons and their close contacts are timely and accurately identified, and countermeasures are taken for the suspected infected persons and the close contacts. In addition, a spreading risk in a current indoor environment can be assessed, the indoor environment is ventilated and purified according to a spreading risk assessment result, and local areas of the suspected infected persons and the close contacts are effectively ventilated and purified, so as to reduce the spreading risk.

The present disclosure provides a monitoring, tracing, early-warning and control system and method for virus spreading in a building. Indoor and outdoor environmental parameters of the building can be monitored in real time. Human physiological indexes are obtained in real time to determine a human health state, and moving trajectories of people and droplet spreading trajectories are obtained. Therefore, suspected infected persons and their close contacts are timely and accurately identified, and countermeasures are taken for the suspected infected persons and the close contacts. In addition, a spreading risk in a current indoor environment can be assessed, the indoor environment is ventilated and purified according to a spreading risk assessment result, and local areas of the suspected infected persons and the close contacts are effectively ventilated and purified, so as to reduce the spreading risk.

A computer implemented method for determining an airborne and/or aerosol pathogen risk exposure includes determining an acoustical parameter for a portion of a building, recording, using a microphone in a mobile electronic device located in the portion of the building, sound pressure level over time originating from speech in the portion of the building, and determining the airborne and/or aerosol pathogens risk exposure as a function of the recorded sound pressure over time and the determined acoustical parameter.

A computer implemented method for determining an airborne and/or aerosol pathogen risk exposure includes determining an acoustical parameter for a portion of a building, recording, using a microphone in a mobile electronic device located in the portion of the building, sound pressure level over time originating from speech in the portion of the building, and determining the airborne and/or aerosol pathogens risk exposure as a function of the recorded sound pressure over time and the determined acoustical parameter.