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A computational model for predicting changes in infection dynamics due to leakage through N95 respirators
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 the incre...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8140115/ https://ncbi.nlm.nih.gov/pubmed/34021181 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89604-7 |
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