Analysis of Cross-infection Risk with Mechanical Ventilation System Operations in Uncertain Indoor Environments

As the need for pandemic preparedness, assessing cross-infection risks based on the given indoor environmental conditions is crucial for preventing the spread of group infections. The objective of this research project is to analyze cross-infection risks with various types of mechanical ventilation systems in uncertain environments, such as locations and distances of the infector and susceptible, and also with the simultaneous operation of an air conditioner. The particle dispersion experiment was conducted for four types of mechanical ventilation systems (Ceiling-type, Standing-type, Wall-mounted, and Vertical lamina airflow system), and we aim to design the evaluation framework and analyze the cross-infection risks with obtained experimental data through this project. The methods for experimentally assessing the risk of infection and analyzing it are currently diverse. If researchers with relevant evaluation experience exchange knowledge and experiences, research results can be analyzed effectively from multiple perspectives. Moreover, interacting with the different situations each country is taking for infection prevention can provide ideas for developing more advanced technologies and exploring infection prevention plans in the future.

Faculty Supervisor:

Jeffrey Siegel

Student:

Partner:

University of Seoul

Discipline:

Life Sciences

Sector:

Environmental Science and Technology; Health and Related Sciences & Technology; Sustainability & the Environment

University:

University of Toronto

Program: