Towards optimal design of patient isolation units in emergency rooms to prevent airborne virus transmission: From computational fluid dynamics to data-driven modeling

Patient isolation units (PIUs) can be an effective method for effective infection control. Computational fluid dynamics (CFD) is commonly used for PIU design; however, optimizing this design requires extensive computational resources. Our study aims to provide data-driven models to determine the PIU...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Computers in biology and medicine Jg. 173; S. 108309
Hauptverfasser:	Lee, Jong Hyeon, Shim, Jae Woo, Lim, Min Hyuk, Baek, Changhoon, Jeon, Byoungjun, Cho, Minwoo, Park, Sungwoo, Choi, Dong Hyun, Kim, Byeong Soo, Yoon, Dan, Kim, Young Gyun, Cho, Seung Yeon, Lee, Kyung-Min, Yeo, Myoung-Souk, Zo, Hangman, Shin, Sang Do, Kim, Sungwan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.05.2024 Elsevier Limited
Schlagworte:	Air flow Airborne virus Computational fluid dynamics Computer applications Computer Simulation COVID-19 Data-driven machine-learning-based modeling Design optimization Emergency medical care Emergency medical services Emergency Service, Hospital Humans Hydrodynamics Infection Control - methods Infectious diseases Internal Medicine Isolation units Machine learning Mathematical models Other Pandemics Parameter identification Patient Isolation Patient isolation unit Simulation Ventilation COVID-19 Patient isolation unit Computational fluid dynamics Data-driven machine-learning-based modeling Airborne virus
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!