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

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

Abstract 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, a...

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Bibliographic Details
Main Authors: S. T. Ogunjo, I. A. Fuwape, A. B. Rabiu
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-04-01
Series:GeoHealth
Subjects:
COVID‐19
machine learning
deep learning
pandemic
Online Access:https://doi.org/10.1029/2021GH000509

Internet

https://doi.org/10.1029/2021GH000509

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