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A Continuous Bayesian Model for the Stimulation COVID-19 Epidemic Dynamics

2021-06-22

Abstract excerpt

It is of great theoretical and application value to accurately forecast the spreading dynamics of COVID-19 epidemic. We first proposed and established a Bayesian model to predict the epidemic spreading behavior. In this model, the infection probability matrix is estimated according to the individual contact frequency in certain population group. This infection probability matrix is highly correlated with populatio...

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Literature Corpus work
e14d0924-4a69-5222-9e9c-441a4d1c5730
DOI
10.1101/2021.06.20.21259220
Open publication

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A Continuous Bayesian Model for the Stimulation COVID-19 Epidemic DynamicsDOI 10.1101/2021.06.20.21259220
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