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Methodology for Addressing Infectious Aerosol Persistence in Real-Time Using Sensor Network.
Makhsous, Sepehr; Segovia, Joelle M; He, Jiayang; Chan, Daniel; Lee, Larry; Novosselov, Igor V; Mamishev, Alexander V.
Afiliación
  • Makhsous S; Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195, USA.
  • Segovia JM; Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195, USA.
  • He J; Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195, USA.
  • Chan D; School of Dentistry, University of Washington, 1959 NE Pacific St., B-307, Seattle, WA 98195, USA.
  • Lee L; Pacific Industrial Hygiene, LLC, 5520 106th Ave NE, Kirkland, WA 98033, USA.
  • Novosselov IV; Department of Mechanical Engineering, University of Washington, 3900 E Stevens Way NE, Seattle, WA 98195, USA.
  • Mamishev AV; Department of Electrical and Computer Engineering, University of Washington, Paul Allen Center, 185 E Stevens Way NE AE100R, Seattle, WA 98195, USA.
Sensors (Basel) ; 21(11)2021 Jun 07.
Article en En | MEDLINE | ID: mdl-34200380
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza