2021
DOI: 10.1126/sciadv.abg3691
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Safe traveling in public transport amid COVID-19

Abstract: Safe travel in public transport amid COVID requires wearing a mask properly, showing effects similar to 2-m social distancing.

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Cited by 39 publications
(25 citation statements)
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References 30 publications
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“…Favoring natural ventilation (opening windows), the HVAC system, and the use of masks have been shown to significantly reduce the risk of transmission [ 30 , 79 , 84 , 89 , 90 ]. Masks reduce the bioaerosols emission variably, depending on the type of mask and the aerodynamics of the scattered particles [ 91 , 92 , 93 , 94 ].…”
Section: Discussionmentioning
confidence: 99%
“…Favoring natural ventilation (opening windows), the HVAC system, and the use of masks have been shown to significantly reduce the risk of transmission [ 30 , 79 , 84 , 89 , 90 ]. Masks reduce the bioaerosols emission variably, depending on the type of mask and the aerodynamics of the scattered particles [ 91 , 92 , 93 , 94 ].…”
Section: Discussionmentioning
confidence: 99%
“…In addition, for individuals living in communities with poor social distancing, wearing face masks could reduce the risk of COVID-19 by 63% compared with people not wearing face masks. Ku et al (2021) analyzed the impacts of mandatorily wearing masks and practicing social distancing in public transit during the COVID-19 outbreaks in South Korea. First, to examine the effectiveness of wearing masks, a cough aerosol simulator was used to measure the formation of cough aerosols and their blockage by a mask.…”
Section: Literature Reviewmentioning
confidence: 99%
“…There are some studies exploring the epidemic spreading in different scenarios with a moving crowd [2,[13][14][15][16][17][18][19][20]. For example, Moritz et al [13] conducted an experimental indoor mass gathering event under three different hygiene practices (i.e., no restrictions, moderate restrictions, and strong restrictions), and measured the contacts of each person during the event with contact tracing devices.…”
Section: Introductionmentioning
confidence: 99%
“…Then, based on the data, they simulated the exposure of individuals and evaluated the contributions of several preventive and control measures. The study by Ku et al [14] focused on the resulting burden of COVID-19 in public transport. Specifically, they used the smart card data and real data on infected individuals to estimate the familiar stranger group, which was a specific public transportation user-frequently encounters.…”
Section: Introductionmentioning
confidence: 99%