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[02442] Geopolitical and Demographic Possible Factor affecting COVID-19 Spread level with OPLSDA approach

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E504
  • Type : Industrial Contributed Talk
  • Abstract : COVID-19 continuing challenges to health and socio-economic crisis. Geopolitical and demographic may possible affecting COVID-19 spread and this research focus on COVID-19 spread level classification. The method used is Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA), OPLS-DA projects predictor that have the best correlation with responses so that they can separate predictor variables from variables that are not correlated. OPLS-DA effectively identifies sources of variability between classes to produce good classification results with an accuracy rate 84.44%. The results also explain how predictor variables can affect the level of spread of COVID-19.
  • Classification : 62H30, 68U01, Classification and Discriminant Analysis for Outlier and High-dimensional data
  • Format : Online Talk on Zoom
  • Author(s) :
    • Noviana Pratiwi (Gadjah Mada University)
    • Dedi Rosadi (Gadjah Mada University)
    • Abdurakhman Abdurakhman (Gadjah Mada University)