Imperial College London
Alternate

ProfessorFanChung

Faculty of Medicine, National Heart & Lung Institute

Professor of Respiratory Medicine
 
 
 
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Contact

 

+44 (0)20 7594 7954f.chung Website

 
 
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Assistant

 

Miss Carolyn Green +44 (0)20 7594 7959

 
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Location

 

227BGuy Scadding BuildingRoyal Brompton Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wu:2023:10.1063/5.0135247,
author = {Wu, X and Abubakar-Waziri, H and Fang, F and Dilliway, C and Wu, P and Li, J and Yao, R and Bhavsar, P and Kumar, P and Pain, CC and Chung, KF},
doi = {10.1063/5.0135247},
journal = {Physics of Fluids},
pages = {1--9},
title = {Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital},
url = {http://dx.doi.org/10.1063/5.0135247},
volume = {35},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We have modeled the transmission of coronavirus 2019 in the isolation room of a patient suffering from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the Royal Brompton Hospital in London. An adaptive mesh computational fluid dynamics model was used for simulation of three-dimensional spatial distribution of SARS-CoV-2 in the room. The modeling set-up is based on data collected in the room during the patient stay. Many numerical experiments have been carried out to provide an optimal design layout of the overall isolation room. Our focus has been on (1) the location of the air extractor and filtration rates, (2) the bed location of the patient, and (3) consideration of the health and safety of the staff working in the area.
AU  - Wu,X
AU  - Abubakar-Waziri,H
AU  - Fang,F
AU  - Dilliway,C
AU  - Wu,P
AU  - Li,J
AU  - Yao,R
AU  - Bhavsar,P
AU  - Kumar,P
AU  - Pain,CC
AU  - Chung,KF
DO  - 10.1063/5.0135247
EP  - 9
PY  - 2023///
SN  - 1070-6631
SP  - 1
TI  - Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital
T2  - Physics of Fluids
UR  - http://dx.doi.org/10.1063/5.0135247
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000932379400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://pubs.aip.org/aip/pof/article/35/2/025111/2868708/Modeling-for-understanding-of-coronavirus-disease
UR  - http://hdl.handle.net/10044/1/104956
VL  - 35
ER  -
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