Zonal modeling of air distribution impact on the long-range airborne transmission risk of SARS-CoV-2.

Aganovic, Amar; Cao, Guangyu; Kurnitski, Jarek; Melikov, Arsen; Wargocki, Pawel

Aganovic, Amar; Cao, Guangyu; Kurnitski, Jarek; Melikov, Arsen; Wargocki, Pawel.

Afiliación

Aganovic A; Department of Automation and Process Engineering, UiT The Arctic University of Norway, Postboks 6050 Langnes, Tromsø 9037, Norway.
Cao G; Department of Energy and Process Engineering, Norwegian University of Science and Technology - NTNU, Trondheim, Norway.
Kurnitski J; REHVA Technology and Research Committee, Tallinn University of Technology, Tallinn, Estonia.
Melikov A; Department of Civil Engineering, Technical University of Denmark, Copenhagen, Denmark.
Wargocki P; Department of Civil Engineering, Technical University of Denmark, Copenhagen, Denmark.

Appl Math Model ; 112: 800-821, 2022 Dec.

Article en En | MEDLINE | ID: mdl-36060304

Palabras clave

Air distribution method; Infection risk; SARS-CoV-2; Virus airborne transmission; Wells-Riley model; Zonal modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Appl Math Model Año: 2022 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Reino Unido

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