Litcius/Paper detail

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

Prashant K. Jha, Lianghao Cao, J. Tinsley Oden

2020Computational Mechanics50 citationsDOIOpen Access PDF

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Bayesian probabilityComputational Science and Engineering2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Statistical physicsMathematicsComputer scienceApplied mathematicsArtificial intelligencePhysicsVirologyBiologyMedicineInfectious disease (medical specialty)PathologyOutbreakDiseaseCOVID-19 epidemiological studiesInfluenza Virus Research StudiesBayesian Methods and Mixture Models