Uncertainty quantification in epidemiological models for the COVID-19 pandemic
Leila Taghizadeh, Ahmad Karimi, Clemens Heitzinger
Topics & Concepts
Markov chain Monte CarloComputer sciencePandemicBasic reproduction numberBayesian probabilityEpidemic modelLogistic functionEconometricsMathematical optimizationStatisticsData miningCoronavirus disease 2019 (COVID-19)MathematicsMachine learningArtificial intelligenceInfectious disease (medical specialty)PopulationMedicineDiseaseEnvironmental healthPathologyCOVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 ResearchMathematical and Theoretical Epidemiology and Ecology Models