Zhaozhi Wang · Journal of Travel Medicine 2021 · Mathematical modeling study based on experimental aerosol dispersion data · n=?

Inflight transmission of COVID-19 based on experimental aerosol dispersion data

Cited 39 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Mathematical modeling and simulation using experimental physical dispersion data without direct human clinical or epidemiological infection data (design analogy).

OpenAlex W3129635723 · doi:10.1093/jtm/taab023 · record verified 2026-08-30

What was done

The authors modeled COVID-19 infection probabilities inside a Boeing 777-200 aircraft cabin using a modified Wells-Riley equation combined with previously published experimental aerosol dispersion data. They simulated 2-hour and 12-hour flight scenarios across varying viral shedding levels (quanta generation rates derived from literature) and face mask filtration efficiencies (continuous wear versus removal during a 1-hour meal service).

What was found

The MID-AFT cabin section had the highest infection probability. For a 2-hour unmasked flight, maximum individual infection probability ranged from 4.5% (mild scenario) to 60.2% (severe scenario), with cabin-wide average infection probabilities between 0.1% and 2.5%. For a 12-hour unmasked flight, maximum individual probability ranged from 24.1% to 99.6% (average 0.8% to 10.8%). Continuous mask wearing during a 12-hour flight reduced average infection probability by ~73% for high-efficiency masks and ~32% for low-efficiency masks. Removing masks for a 1-hour meal service increased the average infection probability by 59% for high-efficiency mask users and 8% for low-efficiency mask users compared to uninterrupted wear.

Why it matters

This study challenges the assumption that aircraft ventilation systems alone eliminate transmission risk, demonstrating that high localized exposure can occur without masks and that continuous high-efficiency masking provides substantial protection.

Limits

The study is entirely theoretical and mathematical; it did not track real-world passenger infections or validate outcomes epidemiologically. The model relies on assumed quanta generation rates and physical dispersion parameters from a single aircraft type (B777-200) that may not capture passenger movement, direct droplet spray, or variable cabin layouts.

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