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10.1073/pnas.2203086119

http://scihub22266oqcxt.onion/10.1073/pnas.2203086119
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35727979!9245670!35727979
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suck abstract from ncbi


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pmid35727979      Proc+Natl+Acad+Sci+U+S+A 2022 ; 119 (26): e2203086119
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  • Hybrid measurement of respiratory aerosol reveals a dominant coarse fraction resulting from speech that remains airborne for minutes #MMPMID35727979
  • Shen Y; Courtney JM; Anfinrud P; Bax A
  • Proc Natl Acad Sci U S A 2022[Jun]; 119 (26): e2203086119 PMID35727979show ga
  • Accurate measurements of the size and quantity of aerosols generated by various human activities in different environments are required for efficacious mitigation strategies and accurate modeling of respiratory disease transmission. Previous studies of speech droplets, using standard aerosol instrumentation, reported very few particles larger than 5 mum. This starkly contrasts with the abundance of such particles seen in both historical slide deposition measurements and more recent light scattering observations. We have reconciled this discrepancy by developing an alternative experimental approach that addresses complications arising from nucleated condensation. Measurements reveal that a large volume fraction of speech-generated aerosol has diameters in the 5- to 20-mum range, making them sufficiently small to remain airborne for minutes, not hours. This coarse aerosol is too large to penetrate the lower respiratory tract directly, and its relevance to disease transmission is consistent with the vast majority of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections initiating in the upper respiratory tract. Our measurements suggest that in the absence of symptoms such as coughing or sneezing, the importance of speech-generated aerosol in the transmission of respiratory diseases is far greater than generally recognized.
  • |*Respiratory Aerosols and Droplets[MESH]
  • |*Respiratory Tract Infections/transmission[MESH]
  • |*Speech[MESH]
  • |COVID-19/transmission[MESH]
  • |Humans[MESH]
  • |Particle Size[MESH]
  • |SARS-CoV-2[MESH]


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