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SARS-CoV-2 aerosol risk models for the Airplane Seating Assignment Problem.
Pavlik, J A; Ludden, I G; Jacobson, S H.
Affiliation
  • Pavlik JA; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.
  • Ludden IG; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.
  • Jacobson SH; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.
J Air Transp Manag ; 99: 102175, 2022 Mar.
Article in En | MEDLINE | ID: mdl-34876782
ABSTRACT
Transmission of SARS-CoV-2 between passengers on airplanes is a significant concern and reducing the transmission of SARS-CoV-2 or other viruses aboard aircraft could save lives. Solving the Airplane Seating Assignment Problem (ASAP) produces seating arrangements that minimize transmission risks between passengers aboard an aircraft, but the chosen risk model affects the optimal seating arrangement. We analyze previous risk models and introduce two new risk models, masked and unmasked, based on previous experiments performed aboard real aircraft to test aerosol dispersion of SARS-CoV-2 sized particles. We make recommendations on when each risk model is applicable and the types of seating arrangements that are optimal for each risk model.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Risk_factors_studies Language: En Journal: J Air Transp Manag Year: 2022 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Risk_factors_studies Language: En Journal: J Air Transp Manag Year: 2022 Document type: Article