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Article

Modeling COVID-19 on a network: super-spreaders, testing and containment

2020-05-05

Abstract excerpt

To model COVID-19 spread, we use an SEIR agent-based model on a graph, which takes into account several important real-life attributes of COVID-19: super-spreaders, realistic epidemiological parameters of the disease, testing and quarantine policies. We find that mass-testing is much less effective than testing the symptomatic and contact tracing, and some blend of these with social distancing is required to achie...

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Literature Corpus work
4079bf5c-60e2-58dd-8685-d87302297a48
DOI
10.1101/2020.04.30.20081828
Open publication

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Modeling COVID-19 on a network: super-spreaders, testing and containmentDOI 10.1101/2020.04.30.20081828
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