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About:
Forecasting PPE Consumption during a Pandemic: The Case of Covid-19
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schema:ScholarlyArticle
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Forecasting PPE Consumption during a Pandemic: The Case of Covid-19
Creator
Fuchs, Barry
Terwiesch, Christian
Volpp, Kevin
Draugelis, Michael
Hanish, Asaf
Weissman, Gary
Cardone, April
Cotner, Cody
Jew, Olivia
Johndrow, James
Lum, Kristian
Luong, Thaibinh
Parikh, Ravi
Source
MedRxiv
abstract
Due to the global shortage of PPE caused by increasing number of COVID-19 patients in recent months, many hospitals have had difficulty procuring adequate PPE for the clinicians who care for these patients. Faced with a shortage, hospitals have had to implement new PPE conservation policies. In this paper, we describe a tool to help hospitals better project PPE needs under various conservation policies. Though this tool is built on top of projections of the number of hospitalized COVID-19 patients, it is agnostic as to which model--of which many are available--provides these projections. The tool combines COVID-19 patient census projections with information like staffing ratios and frequency of patient contact to provide projections of the number of items of key types of PPE needed under three built-in conservation scenarios: standard, contingency, and crisis. Users are also able to customize the tool to the specifics of their hospital and design custom conservation policies.
has issue date
2020-08-23
(
xsd:dateTime
)
bibo:doi
10.1101/2020.08.20.20178780
has license
medrxiv
sha1sum (hex)
f7ead5230f7e8f94b65ae8d8cfb1b4dd60421552
schema:url
https://doi.org/10.1101/2020.08.20.20178780
resource representing a document's title
Forecasting PPE Consumption during a Pandemic: The Case of Covid-19
resource representing a document's body
covid:f7ead5230f7e8f94b65ae8d8cfb1b4dd60421552#body_text
is
schema:about
of
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