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Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models

Prashant K Jha1, Lianghao Cao1, J Tinsley Oden1

  • 1Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, USA.

Computational Mechanics
|August 25, 2020
PubMed

Keywords:
Bayesian statisticsCOVID-19Disease dynamicsMixture theoryModel inferenceSARS-CoV-2 virus

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