About: Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach

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scientific article published on 27 April 2020

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2020 (fr) artículu científicu espublizáu n'abril de 2020 (ast) im April 2020 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 27 April 2020 (en) наукова стаття, опублікована 27 квітня 2020 (uk)
publication date	wds:Q93271323-D8E656E5-EAA3-42C7-B11B-1EAE9E25045B
publication date	2020-04-27 00:00:00Z (xsd:dateTime)
cites work	wds:Q93271323-B01FEA49-551A-4102-8D87-E77D39EC2A98
cites work	Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19)
author name string	wds:Q93271323-7E2B6BD3-B32A-454B-9181-E5E005A9DDFA
author name string	G P Tsironis
rdfs:label	Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (en) Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (nl)
skos:prefLabel	Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (en) Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (nl)
name	Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (en) Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (nl)
author	wds:Q93271323-B304841D-C220-42B3-9363-0D8837A62DF6
author	Georgios D Barmparis
title	wds:Q93271323-936C6EEE-50DB-4928-A981-D81F9C393DFB
title	Estimating the infection horizon of COVID-19 in eight countries with a data-driven approach (en)
page(s)	wds:Q93271323-0774F075-0453-4DD7-AFA4-CE2AAA384104
page(s)	109842
instance of	wds:Q93271323-66A8DF88-4DAE-4217-8AFD-8E244A4CC766
instance of	scholarly article
main subject	wds:Q93271323-2C01F0FE-7AC1-4436-A4A2-274B19A57E08 wds:Q93271323-AB14B1EB-D5CE-43AA-9BB0-202540799054
main subject	COVID-19 mortality COVID-19-related data
PubMed ID	wds:Q93271323-5F6DE017-1D91-4DBC-9161-16B7FB38FDB0
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/32341627
PubMed ID	32341627
published in	wds:Q93271323-34C331DB-C11B-425D-9B1A-9DFDCFD64885
published in	Chaos, Solitons & Fractals
DOI	wds:Q93271323-9B9BC350-7EF0-4195-8A2A-C22FFEF06276
DOI	http://dx.doi.org/10.1016/J.CHAOS.2020.109842
DOI	10.1016/J.CHAOS.2020.109842
arXiv ID	wds:Q93271323-bc6737fc-bb43-44ad-abb4-39807fa5f278
arXiv ID	2003.14334
Semantic Scholar corpus ID	wds:Q93271323-A06AF2B9-01C6-4623-B1B8-D8AAE705F323
Semantic Scholar corpus ID	214728472
Dimensions Publication ID	wds:Q93271323-A5018E88-CB35-435B-9E6D-902CFB306ED2
Dimensions Publication ID	1127148170
PMCID	wds:Q93271323-37E71CDA-5F9C-4C78-9A33-548B8064D81E
PMCID	7183990
COVIDWHO ID	wds:Q93271323-4123c173-20e8-4c35-ac06-98e8192d2e6b
COVIDWHO ID	covidwho-125387
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q93271323
is cites work of	A predictive model and country risk assessment for COVID-19: An application of the Limited Failure Population concept In the midst of the perfect storm: swift public health actions needed in order to increase societal safety during the COVID-19 pandemic Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm A quantitative framework for exploring exit strategies from the COVID-19 lockdown Understanding contagion dynamics through microscopic processes in active Brownian particles
is cites work of	wds:Q99629615-78919F84-8BA5-47DF-A4F3-969AEDAD8A45 wds:Q94600936-96E5A309-9F20-4903-BD78-29FEF8EB4C35 wds:Q98726159-1625AB36-60A9-4826-B37A-37E159F4E91E wds:Q99629603-CDD30F84-9E55-4617-BD57-9D109E20F976 wds:Q103804249-F46A3BD3-F145-4043-A488-488628347CA0

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