Quantitative risk assessment of COVID-19 aerosol transmission indoors: a mechanistic stochastic web application

Lucas Rocha-Melogno, Katherine Crank, Michael H. Bergin, Gregory C. Gray, Kyle Bibby, Marc A. Deshusses

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

An increasing body of literature suggests that aerosol inhalation plays a primary role in COVID-19 transmission, particularly in indoor settings. Mechanistic stochastic models can help public health professionals, engineers, and space planners understand the risk of aerosol transmission of COVID-19 to mitigate it. We developed such model and a user-friendly web application to meet the need of accessible risk assessment tools during the COVID-19 pandemic. We built our model based on the Wells-Riley model of respiratory disease transmission, using quanta emission rates obtained from COVID-19 outbreak investigations. In this report, three modelled scenarios were evaluated and compared to epidemiological studies looking at similar settings: classrooms, weddings, and heavy exercise sessions. We found that the risk of long-range aerosol transmission increased 309–332% when people were not wearing masks, and 424–488% when the room was poorly ventilated in addition to no masks being worn across the scenarios. Also, the risk of transmission could be reduced by ∼40–60% with ventilation rates of 5 ACH for 1–4 h exposure events, and ∼70% with ventilation rates of 10 ACH for 4 h exposure events. Relative humidity reduced the risk of infection (inducing viral inactivation) by a maximum of ∼40% in a 4 h exposure event at 70% RH compared to a dryer indoor environment with 25% RH. Our web application has been used by more than 1000 people in 52 countries as of September 1st, 2021. Future work is needed to obtain SARS-CoV-2 dose–response functions for more accurate risk estimates.

Original languageEnglish (US)
JournalEnvironmental Technology (United Kingdom)
DOIs
StateAccepted/In press - 2021

Keywords

  • aerosol
  • infection
  • modelling
  • risk
  • SARS-CoV-2

ASJC Scopus subject areas

  • Environmental Chemistry
  • Water Science and Technology
  • Waste Management and Disposal

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