A statistical and deep learning-based daily infected count prediction system for the coronavirus pandemic

We present new data analytics-based predictions results that can help governments to plan their future actions and also help medical services to be better prepared for the future. Our system can predict new corona cases with 99.82% accuracy using susceptible infected recovered (SIR) model. We have p...

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Detalles Bibliográficos
Autores principales: Shah, Vruddhi, Shelke, Ankita, Parab, Mamata, Shah, Jainam, Mehendale, Ninad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019340/
https://www.ncbi.nlm.nih.gov/pubmed/33841583
http://dx.doi.org/10.1007/s12065-021-00600-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019340/
https://www.ncbi.nlm.nih.gov/pubmed/33841583
http://dx.doi.org/10.1007/s12065-021-00600-2

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