Predicting COVID‐19 Cases From Atmospheric Parameters Using Machine Learning Approach

The dynamical nature of COVID‐19 cases in different parts of the world requires robust mathematical approaches for prediction and forecasting. In this study, we aim to (a) forecast future COVID‐19 cases based on past infections, (b) predict current COVID‐19 cases using PM2.5, temperature, and humidi...

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Detalles Bibliográficos
Autores principales: Ogunjo, S. T., Fuwape, I. A., Rabiu, A. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983058/
https://www.ncbi.nlm.nih.gov/pubmed/35415381
http://dx.doi.org/10.1029/2021GH000509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983058/
https://www.ncbi.nlm.nih.gov/pubmed/35415381
http://dx.doi.org/10.1029/2021GH000509

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