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Routes of transmission of influenza A H1N1, SARS CoV, and norovirus in air cabin: Comparative analyses.
Lei, H; Li, Y; Xiao, S; Lin, C-H; Norris, S L; Wei, D; Hu, Z; Ji, S.
Afiliação
  • Lei H; Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
  • Li Y; Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
  • Xiao S; Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
  • Lin CH; Environmental Control Systems, Boeing Commercial Airplanes, Everett, WA, USA.
  • Norris SL; Environmental Control Systems, Boeing Commercial Airplanes, Everett, WA, USA.
  • Wei D; Boeing (China) Co. Ltd., Beijing, China.
  • Hu Z; Beijing Aeronautical Science & Technology Research Institute of COMAC, Beijing, China.
  • Ji S; Beijing Aeronautical Science & Technology Research Institute of COMAC, Beijing, China.
Indoor Air ; 28(3): 394-403, 2018 05.
Article em En | MEDLINE | ID: mdl-29244221
Identifying the exact transmission route(s) of infectious diseases in indoor environments is a crucial step in developing effective intervention strategies. In this study, we proposed a comparative analysis approach and built a model to simulate outbreaks of 3 different in-flight infections in a similar cabin environment, that is, influenza A H1N1, severe acute respiratory syndrome (SARS) coronavirus (CoV), and norovirus. The simulation results seemed to suggest that the close contact route was probably the most significant route (contributes 70%, 95% confidence interval [CI]: 67%-72%) in the in-flight transmission of influenza A H1N1 transmission; as a result, passengers within 2 rows of the index case had a significantly higher infection risk than others in the outbreak (relative risk [RR]: 13.4, 95% CI: 1.5-121.2, P = .019). For SARS CoV, the airborne, close contact, and fomite routes contributed 21% (95% CI: 19%-23%), 29% (95% CI: 27%-31%), and 50% (95% CI: 48%-53%), respectively. For norovirus, the simulation results suggested that the fomite route played the dominant role (contributes 85%, 95% CI: 83%-87%) in most cases; as a result, passengers in aisle seats had a significantly higher infection risk than others (RR: 9.5, 95% CI: 1.2-77.4, P = .022). This work highlighted a method for using observed outbreak data to analyze the roles of different infection transmission routes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Aeronaves / Infecções por Caliciviridae / Síndrome Respiratória Aguda Grave / Influenza Humana Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Aeronaves / Infecções por Caliciviridae / Síndrome Respiratória Aguda Grave / Influenza Humana Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2018 Tipo de documento: Article