“… (Saw et al, 2021) [ 28 ] | To investigate the SARS-CoV-2 transmission through aerosol using CFD | CFD simulation | Indoor simulation | Temperature, ventilation rate, particle mass flow rate, mesh size | 70nm–10 μm | N/A | 5 days, 48 hours interval | Southeast Asia (Malaysia) | Dispersion of SARS-CoV-2 virus–laden aerosol throughout the room is affected by strong exhalation and airflow. |
(Saw et al, 2022) [ 29 ] | Effectiveness of the indoor air purifier in controlling SARS-CoV-2 virus transmission | RT-qPCR | Indoor measurement, simulation | Temperature, ventilation rate, particle mass flow rate, mesh size | 70nm–10 μm | Less than 40 (air sample) | 10 days, 48 hours interval | Southeast Asia (Malaysia) | Single air purifier only has a minimum impact in reducing particle dispersion |
(Ren et al, 2021) [ 31 ] | The effects of different ventilation on a prefabricated COVID-19 inpatient ward | snappyHexMesh and blockMesh grid measurement | Indoor, simulation | Wind speed, turbulence, kinetic energy | 3 μm, 6 μm, 12 μm, 20 μm, 45 μm and 175 μm | N/A | N/A | Asia (China) | The ‘U’ type inlet and outlet ventilation have the highest removal efficiency for small particles (<20 μm), whereas the ventilation outlet near the pollutant source has the highest removal rate of big particles (>45 μm) |
(Prajapati et al, 2022) [ 32 ] | Simulation of Covid-19 transmission in an ICU room | ANSYS Fluent CFD software | Indoor, simulation | Temperature, wind speed, transition ration | N/A | N/A | N/A | Asia (India) | The contaminated droplets travelled along a specific streamline along with airflow, hence posing an infection risk to the ICU workers. |
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