About: Going by the Numbers : Learning and Modeling COVID-19 Disease Dynamics

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Going by the Numbers : Learning and Modeling COVID-19 Disease Dynamics
Creator	Basu, Sayantani Campbell, Roy
source	MedRxiv
abstract	The COrona VIrus Disease (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) has resulted in a challenging number of infections and deaths worldwide. In order to combat the pandemic, several countries worldwide enforced mitigation measures in the forms of lockdowns, social distancing and disinfection measures. In an effort to understand the dynamics of this disease, we propose a Long Short Term Memory (LSTM) based model. We train our model on over three months of cumulative COVID-19 cases and deaths. Our model can be adjusted based on the parameters in order to provide predictions as needed. We provide results at both the country and county levels. We also perform a quantitative comparison of mitigation measures in various counties in the United States based on the rate of difference of a short and long window parameter of the proposed LSTM model. The analyses provided by our model can provide valuable insights based on the trends in the rate of infections and deaths. This can also be of help for countries and counties deciding on mitigation and reopening strategies. We believe that the results obtained from the proposed method will contribute to societal benefits for a current global concern.
has issue date	2020-05-22(xsd:dateTime)
bibo:doi	10.1101/2020.05.18.20106112
has license	medrxiv
sha1sum (hex)	a4740d8d0b727e3fe8add10139ff662d2804d005
schema:url	https://doi.org/10.1101/2020.05.18.20106112
resource representing a document's title	Going by the Numbers : Learning and Modeling COVID-19 Disease Dynamics
resource representing a document's body	covid:a4740d8d0b727e3fe8add10139ff662d2804d005#body_text
is schema:about of	named entity 'deciding' named entity 'global' named entity 'MODEL' named entity 'EFFORT' named entity 'DECIDING' »more»

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