PREDICTING THE GEOGRAPHIC SPREAD OF THE COVID-19 PANDEMIC: A CASE STUDY FROM BRAZIL Back August 24, 2026 by emily chan MetadataShare TitlePREDICTING THE GEOGRAPHIC SPREAD OF THE COVID-19 PANDEMIC: A CASE STUDY FROM BRAZILAuthorMARQUES, JOAO ALEXANDRE LOBO | GOIS, FRANCISCO NAUBER BERNARDO | XAVIER-NETO, JOSÉ | FONG, SIMON JAMESPUBLISH YEAR2020FACULTY / RESEARCH UNITFACULTY OF BUSINESS AND LAWDOCUMENT TYPEBook SectionPart ofPREDICTIVE MODELS FOR DECISION SUPPORT IN THE COVID-19 CRISISLANGUAGEENGLISHLink to Publisherhttps://doi.org/10.1007%2F978-3-030-61913-8_6 Continue browsing NONLINEAR PREDICTION FOR THE COVID-19 DATA BASED ON QUADRATIC KALMAN FILTERING MULTI-VIEW CONVOLUTIONAL NEURAL NETWORK WITH LEADER AND LONG-TAIL PARTICLE SWARM OPTIMIZER FOR ENHANCING HEART DISEASE AND BREAST CANCER DETECTION Back to items list