About: An Interactive Tool to Forecast US Hospital Needs in the Coronavirus 2019 Pandemic

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About: An Interactive Tool to Forecast US Hospital Needs in the Coronavirus 2019 Pandemic Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Interactive Tool to Forecast US Hospital Needs in the Coronavirus 2019 Pandemic
Creator	Affiliations, † Hota, Bala Webb, Thomas Khan, Jawad Antony, Anuja Locey, Kenneth
topic	covid:2e3a012c752d8cb6b18a5cb79d93282ac592c9ab#this
Source	MedRxiv
abstract	Hospital enterprises are currently faced with anticipating the spread of COVID-19 and the effects it will have on visits, admissions, bed needs, and crucial supplies. While many studies have focused on understanding the basic epidemiology of the disease, few open source tools have been made available to aid hospitals in their planning. We developed a web-based application for US states and territories that allows users to choose from a suite of models already employed in characterizing the spread of COVID-19. Users can obtain forecasts for hospital visits and admissions as well as anticipated needs for ICU and non-ICU beds, ventilators, and personal protective equipment supplies. Users can also customize a large set of inputs, view the variability in forecasts over time, and download forecast data. We describe our web application and its models in detail and provide recommendations and caveats for its use. Our application is primarily designed for hospital leaders, healthcare workers, and government official who may lack specialized knowledge in epidemiology and modeling. However, specialists can also use our open source code as a platform for modification and deeper study. As the dynamics of COVID-19 within the US change, our application will also change to meet emerging needs and questions of the healthcare community.
has issue date	2020-04-23(xsd:dateTime)
bibo:doi	10.1101/2020.04.20.20073031
has license	medrxiv
sha1sum (hex)	2e3a012c752d8cb6b18a5cb79d93282ac592c9ab
schema:url	https://doi.org/10.1101/2020.04.20.20073031
resource representing a document's title	An Interactive Tool to Forecast US Hospital Needs in the Coronavirus 2019 Pandemic
resource representing a document's body	covid:2e3a012c752d8cb6b18a5cb79d93282ac592c9ab#body_text
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