Meteorological and human mobility data on predicting COVID-19 cases by a novel hybrid decomposition method with anomaly detection analysis: A case study in the capitals of Brazil
Tiago Tiburcio da Silva, Rodrigo Francisquini, Mariá C. V. Nascimento
Topics & Concepts
Anomaly (physics)Hilbert–Huang transformCoronavirus disease 2019 (COVID-19)Mean squared errorPearson product-moment correlation coefficientTransmission (telecommunications)StatisticsCorrelationEconometricsAutoregressive integrated moving averageAutoregressive modelCorrelation coefficientComputer scienceMathematicsMeteorologyGeographyTime seriesTelecommunicationsMedicineGeometryCondensed matter physicsDiseasePathologyInfectious disease (medical specialty)White noisePhysicsCOVID-19 diagnosis using AICOVID-19 epidemiological studiesAnomaly Detection Techniques and Applications