A Comparison of Infectious Disease Forecasting Methods across Locations, Diseases, and Time

Accurate infectious disease forecasting can inform efforts to prevent outbreaks and mitigate adverse impacts. This study compares the performance of statistical, machine learning (ML), and deep learning (DL) approaches in forecasting infectious disease incidences across different countries and time...

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Detalles Bibliográficos
Autores principales: Dixon, Samuel, Keshavamurthy, Ravikiran, Farber, Daniel H., Stevens, Andrew, Pazdernik, Karl T., Charles, Lauren E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875569/
https://www.ncbi.nlm.nih.gov/pubmed/35215129
http://dx.doi.org/10.3390/pathogens11020185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875569/
https://www.ncbi.nlm.nih.gov/pubmed/35215129
http://dx.doi.org/10.3390/pathogens11020185

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