Unknown

Dataset Information

0

Modeling of aerosol transmission of airborne pathogens in ICU rooms of COVID-19 patients with acute respiratory failure.


ABSTRACT: The COVID-19 pandemic has generated many concerns about cross-contamination risks, particularly in hospital settings and Intensive Care Units (ICU). Virus-laden aerosols produced by infected patients can propagate throughout ventilated rooms and put medical personnel entering them at risk. Experimental results found with a schlieren optical method have shown that the air flows generated by a cough and normal breathing were modified by the oxygenation technique used, especially when using High Flow Nasal Canulae, increasing the shedding of potentially infectious airborne particles. This study also uses a 3D Computational Fluid Dynamics model based on a Lattice Boltzmann Method to simulate the air flows as well as the movement of numerous airborne particles produced by a patient's cough within an ICU room under negative pressure. The effects of different mitigation scenarii on the amount of aerosols potentially containing SARS-CoV-2 that are extracted through the ventilation system are investigated. Numerical results indicate that adequate bed orientation and additional air treatment unit positioning can increase by 40% the number of particles extracted and decrease by 25% the amount of particles deposited on surfaces 45s after shedding. This approach could help lay the grounds for a more comprehensive way to tackle contamination risks in hospitals, as the model can be seen as a proof of concept and be adapted to any room configuration.

SUBMITTER: Crawford C 

PROVIDER: S-EPMC8175584 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC8224849 | biostudies-literature
| S-SCDT-10_15252-EMMM_202317932 | biostudies-other
| S-EPMC8342890 | biostudies-literature
| S-EPMC7952536 | biostudies-literature
| S-EPMC7724984 | biostudies-literature
| S-EPMC9977328 | biostudies-literature
| S-EPMC10701621 | biostudies-literature
| S-EPMC7734095 | biostudies-literature
| S-EPMC8312159 | biostudies-literature
| S-EPMC7657628 | biostudies-literature