A computational model for predicting changes in infection dynamics due to leakage through N95 respirators
Abstract In the absence of fit-testing, leakage of aerosolized pathogens through the gaps between the face and N95 respirators could compromise the effectiveness of the device and increase the risk of infection for the exposed population. To address this issue, we have developed a model to estimate...
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Autores principales: | Prasanna Hariharan, Neha Sharma, Suvajyoti Guha, Rupak K. Banerjee, Gavin D’Souza, Matthew R. Myers |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/99ad9058a158414394a2748c325b69a5 |
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