About: COVID-19 Scenarios: an interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	COVID-19 Scenarios: an interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2
Creator	Albert, Jan Neher, Richard Askamentov, Ivan Badenhorst, Abrie Druelle, Valentine Jefferies, Gavin Noll, Nicholas Ronzani, Bruno
Source	MedRxiv
abstract	The ongoing SARS-CoV-2 pandemic has caused large outbreaks around the world and every heavily affected community has experienced a substantial strain on the health care system and a high death toll. Communities therefore have to monitor the incidence of COVID-19 carefully and attempt to project the demand for health care. To enable such projections, we have developed an interactive web application that simulates an age-structured SEIR model with separate compartments for severely and critically ill patients. The tool allows the users to modify most parameters of the model, including age specific assumptions on severity. Infection control and mitigation measures that reduce transmission can be specified, as well as age-group specific isolation. The simulation of the model runs entirely on the client side in the browser; all parameter settings and results of the simulation can be exported for further downstream analysis. The tool is available at covid19-scenarios.org and the source code at github.com/neherlab/covid19_scenarios.
has issue date	2020-05-07(xsd:dateTime)
bibo:doi	10.1101/2020.05.05.20091363
has license	medrxiv
sha1sum (hex)	526625cf5000ab29d70641c70564d1f49b42946a
schema:url	https://doi.org/10.1101/2020.05.05.20091363
resource representing a document's title	COVID-19 Scenarios: an interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2
resource representing a document's body	covid:526625cf5000ab29d70641c70564d1f49b42946a#body_text
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