Article

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

2020-07-24

Abstract excerpt

1 <h4>SUMMARY</h4> 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 anal...

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Identifiers and source

Literature Corpus work: b978235d-150b-5060-8402-af91fcd23537
DOI: 10.1101/2020.07.23.20160697

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