This model uses four different variables. They are number of exposed people, number of affected people, number of cured, and number of dead.

University of California, Santa Cruz

This model requires the use of two separate models in search of the best parameters for a big data-set. Uses:
- Progressive Partial Derivative Linear Regression model
- Nonlinear Global Pandemic Machine Learning model

PDR-NML

Kavadi, M. D. P., Patan, R., Ramachandran, M., & Gandomi, A. H. (2020). Partial derivative nonlinear global pandemic machine learning prediction of covid 19. Chaos, Solitons & Fractals, 110056. https://doi.org/10.1016/j.chaos.2020.110056

Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19

Progressive Partial Derivative Linear Regression model

Involves the final steps of outbreak prediction to develop global pandemic models.

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