Impact of dimensionality on nowcasting seasonal influenza with environmental factors

Manifestación

Autores
Identificador
1162577
Fecha de publicación
2020; 2021
Forma obra
Texto
Lugar de producción
2020; 2021
Nota de edición
Digitalización realizada por la Biblioteca Virtual del Banco de la República (Colombia)
Materias
  • Tecnología; Tecnología / Ciencias médicas Medicina; Tecnología / Ciencias médicas Medicina / Incidencia y prevención de la enfermedad
  • Infuenza; Nowcasting; Forecasting; Dimensionality reduction; Environmental factors
Notas
  • Colombia
  • Colfuturo
  • © Derechos reservados del autor
  • 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.
Enlace permanente
https://www.cervantesvirtual.com/obra/impact-of-dimensionality-on-nowcasting-seasonal-influenza-with-environmental-factors-1162577
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