Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks
Amal I. Saba, Ammar H. Elsheikh
Topics & Concepts
Autoregressive integrated moving averageCoronavirus disease 2019 (COVID-19)PandemicChristian ministryArtificial neural networkOutbreakAutoregressive modelCurfewEconometricsPopulationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Nonlinear autoregressive exogenous model2019-20 coronavirus outbreakComputer scienceStatisticsGeographyEnvironmental healthTime seriesArtificial intelligenceMedicineVirologyMachine learningMathematicsPolitical scienceLawInfectious disease (medical specialty)DiseasePathologyCOVID-19 epidemiological studiesCOVID-19 diagnosis using AIForecasting Techniques and Applications