Infection risk model for cabins and passenger compartments
Infection risk model for cabins and passenger compartments
Risk visualization
The interactive visualization tool quickly and easily generates “maps” of the infection risk for given ventilation setups and pathogen properties, as shown here for an aircraft cabin.
Aircraft cabins are critical environments for the spreading of airborne pathogens. If one or more contagious passengers are on board, the risk of secondary infections is increased by the close proximity of the passengers and the extended exposure times during long flights.
Determining how this risk changes for different diseases and ventilation setups is key to identifying effective countermeasures. The Virtual Infection Risk framework predicts these risks in advance. Numerical simulations of the ventilation air flow and aerosol particle dispersion are used to determine each passengers’ exposure level. Then, using the biological and medical properties of the pathogen, these doses are translated into individual infection probabilities.
Schematic visualization of the spreading of exhaled aerosol particles at mixing ventilation in the Do728 passenger cabin.
Simulation of an infection risk model
Your consent to the storage of data ('cookies') is required for the playback of this video on Quickchannel.com. You can view and change your current data storage settings at any time under privacy.
Simulation of an infection risk model
Schematic visualization of the spreading of exhaled aerosol particles at mixing ventilation in the Do728 passenger cabin.
This allows us to establish baseline risks for a given disease and ventilation setup, and to investigate the sensitivity of the risk to variations in airflow and biological properties, and evaluate and find effective and robust countermeasures.
The Virtual Infection Risk framework generates a high volume of complex data. An interactive visualization tool makes these data accessible. This enables us to quickly and easily identify patterns, see connections, and effectively communicate our findings to stakeholders.
