{"id":4696,"date":"2021-02-22T10:03:58","date_gmt":"2021-02-22T18:03:58","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=4696"},"modified":"2021-02-23T10:04:54","modified_gmt":"2021-02-23T18:04:54","slug":"inflight-transmission-of-covid-19-based-on-experimental-aerosol-dispersion-data","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2021\/02\/22\/inflight-transmission-of-covid-19-based-on-experimental-aerosol-dispersion-data\/","title":{"rendered":"Inflight Transmission of COVID-19 Based on Experimental Aerosol Dispersion Data"},"content":{"rendered":"

A study simulating aerosol dispersion in a B77-200 aircraft to estimate SARS-CoV-2 infection probability calculated that the MID-AFT (economy class) portion of the cabin exhibited the highest infection probability, with the average individual infection probability (without masks) for a 2-hour flight in this section varying from 0.1% for a \u2018Mild Scenario\u2019 to 2.5% for a \u2018Severe Scenario\u2019. This implies that 1.9 of 75 passengers seated in this section are likely to be infected. For a 12-hour flight, the average infection probability varied from 0.8% to 10.8%. If all passengers wore masks throughout the longer flight, the average infection probability was reduced by approximately 73% for high-efficiency masks vs. 32% for low-efficiency masks.<\/p>\n

Wang et al. (Feb 19, 2021). Inflight Transmission of COVID-19 Based on Experimental Aerosol Dispersion Data. Journal of Travel Medicine. <\/i>https:\/\/doi.org\/10.1093\/jtm\/taab023<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

A study simulating aerosol dispersion in a B77-200 aircraft to estimate SARS-CoV-2 infection probability calculated that the MID-AFT (economy class) portion of the cabin exhibited the highest infection probability, with the average individual infection probability (without masks) for a 2-hour flight in this section varying from 0.1% for a \u2018Mild Scenario\u2019 to 2.5% for a…<\/p>\n

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