Open access
106
Views
2
CrossRef citations to date
0
Altmetric
Original Research
Scenarios to Manage the Demand for N95 Respirators for Healthcare Workers During the COVID-19 Pandemic
Yinxiaohe Sun1 Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
, Hirono Otomaru1 Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore;2 Department of Virology, Tohoku University Graduate School of Medicine, Sendai, JapanCorrespondence[email protected]
, Sharon Esi Duoduwa Quaye1 Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
, Jyoti Somani3 Division of Infectious Diseases, National University Hospital, Singapore
, Natasha Bagdasarian3 Division of Infectious Diseases, National University Hospital, Singapore
, Darius L L Beh3 Division of Infectious Diseases, National University Hospital, Singapore
, Dale A Fisher3 Division of Infectious Diseases, National University Hospital, Singapore;4 Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
https://orcid.org/0000-0003-2353-2651
Alex R Cook1 Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
& Borame L Dickens1 Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
show all
Pages 2489-2496
|
Published online: 05 Nov 2020
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.