Publication

On the 2-Row Rule for Infectious Disease Transmission on Aircraft

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Last modified
  • 05/15/2025
Type of Material
Authors
    Vicki Hertzberg, Emory UniversityHoward Weiss, Georgia Institute of Technology
Language
  • English
Date
  • 2016-09-01
Publisher
  • Ubiquity Press Ltd.
Publication Version
Copyright Statement
  • © 2016 The Authors. Published by Elsevier Inc. on behalf of Icahn School of Medicine at Mount Sinai.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 82
Issue
  • 5
Start Page
  • 819
End Page
  • 823
Grant/Funding Information
  • The authors received support from The Boeing Company (HNW) by way of a subcontract to the Georgia Institute of Technology (VSH). Both authors had access to the sources used to develop the manuscript.
Abstract
  • Background: With over two billion airline passengers annually, in-flight transmission of infectious diseases is an important global health concern. Many instances of in-flight transmission have been documented, but the relative influence of the many factors (see below) affecting in-flight transmission has not been quantified. Long-standing guidance by public health agencies is that the primary transmission risk associated with air travel for most respiratory infectious diseases is associated with sitting within two rows of an infectious passenger. The effect of proximity may be one of these factors. Objective: The aim of this study was to determine the risk of infection within and beyond the 2-row rule given by public health guidance. Methods: We searched the literature for reports of in-flight transmission of infection which included seat maps indicating where the infectious and infected passengers were seated. Findings: There is a ∼ 6% risk to passengers seated within the 2-rows of infected individual(s) and there is ∼ 2% risk to passengers seated beyond 2-rows from the infectious individual. Discussion: Contact tracing limited to passengers within 2-rows of the infectious individual(s) could fail to detect other cases of infections. This has important consequences for assessing the spread of infectious diseases. Conclusions: Infection at a distance from the index case indicates other factors, such as airflow, movement of passenger/crew members, fomites and contacts between passengers in the departure gate before boarding, or after deplaning, are involved.
Author Notes
Keywords
Research Categories
  • Biology, Bioinformatics
  • Biology, Virology
  • Health Sciences, Public Health
  • Health Sciences, Epidemiology
  • Biology, Biostatistics

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