A physics-informed neural network to model COVID-19 infection and hospitalization scenarios - Berkhahn, Sarah; Ehrhardt, Matthias (Advances in continuous and discrete models, 2022)
Keywords: Analysis; Coronaviruses; COVID-19; Difference and Functional Equations; Differential equations; Disease transmission; Epidemics; Epidemiology; Functional Analysis; Mathematical models; Mathematics; Mathematics and Statistics; Neural networks; Ordinary Differential Equations; Outbreaks; Pandemics; Parameter estimation; Parameter identification; Partial Differential Equations; Viral diseases; COVID-19; SARS-CoV-2; Compartment models; SIR; Epidemiology; Physics-informed neural networks