About: A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread

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About: A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread 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 machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread
Creator	Barbastathis, George Dandekar, Raj Rackauckas, Chris
source	ArXiv
abstract	We have developed a globally applicable diagnostic Covid-19 model by augmenting the classical SIR epidemiological model with a neural network module. Our model does not rely upon previous epidemics like SARS/MERS and all parameters are optimized via machine learning algorithms employed on publicly available Covid-19 data. The model decomposes the contributions to the infection timeseries to analyze and compare the role of quarantine control policies employed in highly affected regions of Europe, North America, South America and Asia in controlling the spread of the virus. For all continents considered, our results show a generally strong correlation between strengthening of the quarantine controls as learnt by the model and actions taken by the regions' respective governments. Finally, we have hosted our quarantine diagnosis results for the top 70 affected countries worldwide, on a public platform, which can be used for informed decision making by public health officials and researchers alike.
has issue date	2020-07-23(xsd:dateTime)
has license	arxiv
sha1sum (hex)	7dbf69147bbf57dcd8b2d8a95379787df452af9c
resource representing a document's title	A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spread
resource representing a document's body	covid:7dbf69147bbf57dcd8b2d8a95379787df452af9c#body_text
is schema:about of	named entity 'Covid-19' named entity 'controls' named entity 'North America' named entity 'employed' named entity 'The' »more»

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