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SARS-CoV-2 aerosol risk models for the Airplane Seating Assignment Problem.

J A Pavlik1, I G Ludden1, S H Jacobson1

  • 1Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America.

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Summary
This summary is machine-generated.

Minimizing airplane virus transmission involves optimizing seating. New masked and unmasked risk models, based on real-world aerosol experiments, guide seating arrangements to reduce SARS-CoV-2 spread.

Keywords:
Air travelCOVID-19Discrete optimizationPublic health

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Area of Science:

  • Aviation safety
  • Epidemiology
  • Aerosol science

Background:

  • Air travel poses risks for infectious disease transmission, notably SARS-CoV-2.
  • Optimizing aircraft seating can mitigate virus spread, but requires effective risk models.

Purpose of the Study:

  • To analyze existing risk models for the Airplane Seating Assignment Problem (ASAP).
  • To introduce and validate new masked and unmasked aerosol dispersion risk models for aircraft.
  • To provide guidance on selecting appropriate risk models and seating strategies.

Main Methods:

  • Review of prior ASAP risk models.
  • Development of novel masked and unmasked risk models.
  • Analysis of experimental data on aerosol dispersion aboard aircraft.

Main Results:

  • The optimal seating arrangement is contingent on the specific risk model employed.
  • New masked and unmasked models offer improved accuracy based on experimental data.
  • Distinct seating strategies are optimal for masked versus unmasked transmission scenarios.

Conclusions:

  • The choice of risk model significantly impacts the effectiveness of ASAP solutions.
  • The new models provide a more nuanced approach to managing airborne transmission risks on aircraft.
  • Recommendations are provided for applying specific risk models and seating arrangements in different contexts.