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About:
Monitoring COVID-19 progression: Look at Us Today, See Yourself Tomorrow
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Monitoring COVID-19 progression: Look at Us Today, See Yourself Tomorrow
Creator
Hill, Lyda
Noh, Jungsik
source
MedRxiv
abstract
The coronavirus disease 2019 (COVID-19) pandemic is causing public health emergency and economic crisis all over the globe. Being widely spread, the virus can make any place in the world a new epicenter of the possible second wave of outbreaks. To control the pandemic progression, monitoring of the virus spreading is imperative. This paper proposes a simple and robust approach to monitor the COVID-19 pandemic progression in many countries or regions. This data science pipeline can provide actionable insights via straightforward COVID-19 data visualization for many regions at a glance, which informs of relative time delay of the pandemic progression, projected numbers of confirmed cases in the near future, and the sizes of infections.
has issue date
2020-04-23
(
xsd:dateTime
)
bibo:doi
10.1101/2020.04.20.20072991
has license
medrxiv
sha1sum (hex)
08598f524d2630cac0308042c0b894263beba83e
schema:url
https://doi.org/10.1101/2020.04.20.20072991
resource representing a document's title
Monitoring COVID-19 progression: Look at Us Today, See Yourself Tomorrow
resource representing a document's body
covid:08598f524d2630cac0308042c0b894263beba83e#body_text
is
schema:about
of
named entity 'COVID-19'
named entity 'Tomorrow'
named entity 'SIMPLE'
named entity 'TO CONTROL'
named entity 'PROGRESSION'
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