Impact of dimensionality on nowcasting seasonal influenza with environmental factors

Registro bibliográfico

  • Título: Impact of dimensionality on nowcasting seasonal influenza with environmental factors
  • Autor: Guarnizo Peralta, Stefany Brigetty; Miliou, Ioanna;Papapetrou, Panagiotis
  • Publicación original: 2020; 2021
  • Descripción física: PDF
  • Nota general:
    • Colombia
  • Notas de reproducción original: Digitalización realizada por la Biblioteca Virtual del Banco de la República (Colombia)
  • Notas:
    • Resumen: Abstract: Seasonal influenza is an infectious disease of multi-causal etiology and a major cause of mortality worldwide that has been associated with environmental factors. In the attempt to model and predict future outbreaks of seasonal influenza with multiple environmental factors, we face the challenge of increased dimensionality that makes the models more complex and unstable. In this paper, we propose a nowcasting and forecasting framework that compares the theoretical approaches of Single Environmental Factor and Multiple Environmental Factors. We introduce seven solutions to minimize the weaknesses associated with the increased dimensionality when predicting seasonal influenza activity levels using multiple environmental factors as external proxies. Our work provides evidence that using dimensionality reduction techniques as a strategy to combine multiple datasets improves seasonal influenza forecasting without the penalization of increased dimensionality.
    • © Derechos reservados del autor
    • Colfuturo
  • Forma/género: texto
  • Idioma: castellano
  • Institución origen: Biblioteca Virtual del Banco de la República
  • Encabezamiento de materia:

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