Abstract: A training system uses a physical model of a head and neck with a first tracker, a second tracker on a physical laryngoscope model, a third tracker on a physical endotracheal tube model, and a fourth tracker on a VR goggle; the system uses the trackers to determine positions of the physical models. A simulation system has corresponding digital 3D models of a laryngoscope, an endotracheal tube, and an airway, the airway including 3D models of surfaces of tongue, epiglottis, larynx, pharynx, and trachea. The physical model locations are registered to the digital models. In embodiments, the physical laryngoscope model has sensors measure strain or pressure along its blade and the simulation system has instructions to distort the digital 3D model of the airway according to readings of the sensors. The system can render the digital 3D model viewed from the VR goggle or a camera of the laryngoscope.

Abstract: Systems and methods are described for agent-based simulation of each individual's movements in order to monitor the propagation of a disease. An agent-based simulation model has been exemplarily constructed, which is mainly comprised of two parts: student mobility model and disease propagation model. In the student mobility model, movements of students are modeled based on the GIS map (viz. routes, distances) and their daily schedules (e.g. dorms and classrooms/buildings). The disease propagation model represents students' health status (viz. susceptible, pre-symptomatic, asymptomatic, quarantine, isolation, and recovered) based on different factors such as the number of infected students attending the class or living in a dorm, classroom/dorm features (e.g. size, humidity, ventilation), probabilities of disease transmissions (e.g.

Abstract: Systems and methods are disclosed for spatially and temporally mapping safer and riskier and wellbeing areas based on perceived safety/risk and wellbeing, related to perceived viral mitigating health behaviors, known built environment wellbeing features, and predictively modelling movement through locations, and building environment features and operations contributing to viral spread.

Abstract: A training system uses a physical model of a head and neck with a first tracker, a second tracker on a physical laryngoscope model, a third tracker on a physical endotracheal tube model, and a fourth tracker on a VR goggle; the system uses the trackers to determine positions of the physical models. A simulation system has corresponding digital 3D models of a laryngoscope, an endotracheal tube, and an airway, the airway including 3D models of surfaces of tongue, epiglottis, larynx, pharynx, and trachea. The physical model locations are registered to the digital models. In embodiments, the physical laryngoscope model has sensors measure strain or pressure along its blade and the simulation system has instructions to distort the digital 3D model of the airway according to readings of the sensors. The system can render the digital 3D model viewed from the VR goggle or a camera of the laryngoscope.