About: A Metapopulation Network Model for the Spreading of SARS-CoV-2: Case Study for Ireland

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About: A Metapopulation Network Model for the Spreading of SARS-CoV-2: Case Study for Ireland Goto Sponge NotDistinct Permalink

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	A Metapopulation Network Model for the Spreading of SARS-CoV-2: Case Study for Ireland
Creator	Hövel, Philipp Humphries, Rory Mulchrone, Kieran O'riordan, Micheal Spillane, Mary »more»
source	MedRxiv
abstract	We present preliminary results on an all-Ireland network modelling approach to simulate the spreading the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), commonly known as the coronavirus. In the model, nodes correspond to locations or communities that are connected by links indicating travel and commuting between different locations. While this proposed modelling framework can be applied on all levels of spatial granularity and different countries, we consider Ireland as a case study. The network comprises 3440 electoral divisions (EDs) of the Republic of Ireland and 890 superoutput areas (SOAs) for Northern Ireland, which corresponds to local administrative units below the NUTS 3 regions. The local dynamics within each node follows a phenomenological SIRX compartmental model including classes of Susceptibles, Infected, Recovered and Quarantined (X) inspired from Science 368, 742 (2020). For better comparison to empirical data, we extended that model by a class of Deaths. We consider various scenarios including the 5-phase roadmap for Ireland. In addition, as proof of concept, we investigate the effect of dynamic interventions that aim to keep the number of infected below a given threshold by dynamically adjusting containment measures on a national (Ireland), which could also be implemented at a regional (county) or local (ED/SOA) level.
has issue date	2020-06-26(xsd:dateTime)
bibo:doi	10.1101/2020.06.26.20140590
has license	medrxiv
sha1sum (hex)	a6de99e6b753e93e1b72d46320b2d2c383d24fdb
schema:url	https://doi.org/10.1101/2020.06.26.20140590
resource representing a document's title	A Metapopulation Network Model for the Spreading of SARS-CoV-2: Case Study for Ireland
resource representing a document's body	covid:a6de99e6b753e93e1b72d46320b2d2c383d24fdb#body_text
is schema:about of	named entity 'model' named entity 'simulate' named entity 'containment' named entity 'indicating' named entity 'spatial' »more»

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