Comparing the accuracy of several network-based COVID-19 prediction algorithms

Researchers from various scientific disciplines have attempted to forecast the spread of coronavirus disease 2019 (COVID-19). The proposed epidemic prediction methods range from basic curve fitting methods and traffic interaction models to machine-learning approaches. If we combine all these approac...

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Detalles Bibliográficos
Autores principales: Achterberg, Massimo A., Prasse, Bastian, Ma, Long, Trajanovski, Stojan, Kitsak, Maksim, Van Mieghem, Piet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. on behalf of International Institute of Forecasters. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546239/
https://www.ncbi.nlm.nih.gov/pubmed/33071402
http://dx.doi.org/10.1016/j.ijforecast.2020.10.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546239/
https://www.ncbi.nlm.nih.gov/pubmed/33071402
http://dx.doi.org/10.1016/j.ijforecast.2020.10.001

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