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10.1007/s11356-022-19824-5

http://scihub22266oqcxt.onion/10.1007/s11356-022-19824-5
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35349056!8960670!35349056
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suck abstract from ncbi


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pmid35349056      Environ+Sci+Pollut+Res+Int 2022 ; 29 (38): 57232-57247
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  • Numerical study of when and who will get infected by coronavirus in passenger car #MMPMID35349056
  • Sarhan AAR; Naser P; Naser J
  • Environ Sci Pollut Res Int 2022[Aug]; 29 (38): 57232-57247 PMID35349056show ga
  • In light of the COVID-19 pandemic, it is becoming extremely necessary to assess respiratory disease transmission in passenger cars. This study numerically investigated the human respiration activities' effects, such as breathing and speaking, on the transport characteristics of respiratory-induced contaminants in passenger car. The main objective of the present study is to accurately predict when and who will get infected by coronavirus while sharing a passenger car with a patient of COVID-19 or similar viruses. To achieve this goal, transient simulations were conducted in passenger car. We conducted a 3D computational fluid dynamics (CFD)-based investigation of indoor airflow and the associated aerosol transport in a passenger car. The Eulerian-Eulerian flow model coupled with k-epsilon turbulence approach was used to track respiratory contaminants with diameter >/= 1 mum that were released by different passengers within the passenger car. The results showed that around 6.38 min, this is all that you need to get infected with COVID-19 when sharing a poorly ventilated car with a driver who got coronavirus. It also has been found that enhancing the ventilation system of the passenger car will reduce the risk of contracting Coronavirus. The predicted results could be useful for future engineering studies aimed at designing public transport and passenger cars to face the spread of droplets that may be contaminated with pathogens.
  • |*COVID-19[MESH]
  • |*Computer Simulation[MESH]
  • |*Models, Biological[MESH]
  • |Automobiles[MESH]
  • |Humans[MESH]
  • |Pandemics[MESH]
  • |Respiratory Aerosols and Droplets[MESH]
  • |Time Factors[MESH]


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