COVID-19 aerosol transmission simulation-based risk analysis for in-person learning

Area of Science:

• Public Health
• Epidemiology
• Risk Assessment

Background:

• Educational institutions faced significant disruption due to the COVID-19 pandemic.
• Resuming in-person instruction requires robust risk assessment and mitigation strategies.
• Uncertainty in disease transmission and intervention effectiveness complicates decision-making.

Purpose of the Study:

• To develop and apply a simulation-based risk analysis model for in-person educational settings.
• To estimate the risks of infection, hospitalization, and death for students and faculty.
• To evaluate the impact of various interventions on reducing transmission risks.

Main Methods:

• Developed a simulation model to assess aerosol exposure risks in college classrooms.
• Modeled a semester of courses for a college of approximately 11,000 students.
• Incorporated uncertainties in disease transmission, policy impacts (masking, facility interventions), and population-level immunity.

Main Results:

• Universal masking (40% aerosol blockage) and UV systems show potential for substantial risk reduction.
• Intervention effectiveness can be modeled at the individual room level.
• Simulation demonstrated the ability to estimate risks beyond just infection, including hospitalizations and deaths.

Conclusions:

• Simulation-based risk analysis provides a framework for informed decision-making in educational settings.
• Specific interventions like masking and UV systems can significantly mitigate risks associated with in-person classes.
• This approach aids in prioritizing actions under conditions of uncertainty to ensure safer educational environments.