Quantifying the COVID19 infection risk due to droplet/aerosol inhalation.

ABSTRACT: The dose-response model has been widely used for quantifying the risk of infection of airborne diseases like COVID-19. The model has been used in the room-average analysis of infection risk and analysis using passive scalars as a proxy for aerosol transport. However, it has not been employed for risk estimation in numerical simulations of droplet dispersion. In this work, we develop a framework for the evaluation of the probability of infection in droplet dispersion simulations using the dose-response model. We introduce a version of the model that can incorporate the higher transmissibility of variant strains of SARS-CoV2 and the effect of vaccination in evaluating the probability of infection. Numerical simulations of droplet dispersion during speech are carried out to investigate the in

SUBMITTER: Bale R 

PROVIDER: S-EPMC9249924 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature