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Can Combination Therapy Improve Outcomes in PDE5i-Refractory Erectile Dysfunction? A Systematic Review of Low-Intensity Extracorporeal Shockwave Therapy
Volume 8 | Issue - 8
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Influence of Storage Temperature on the Bond Performance of Universal Adhesives: A Narrative Review
Volume 8 | Issue - 8
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Effects of direct acting antivirals(DAAs)on cryoglobulinemia in patients infected with hepatitis C virus
Volume 8 | Issue - 8
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Effect of Education Sessions About Plastic Usage Hazards and Its Safe Disposal on Knowledge and Reported Practice of Female Employees at Port Said University: A Pre–Post Intervention Study
Volume 8 | Issue - 7
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Soil Quality Under a Cocoa-Based Agroforestry System With Associated Indigenous Tree Species In The Department Of Divo (Cote d’Ivoire)
Volume 8 | Issue - 7
Some mathematical models to predict COVID-19 waves: case study Mexico
Main Article Content
Abstract
In this work we present some mathematical models useful to predict the appearance of new COVID-19 waves. Models include: SEIR ordinary differential equations system with seasonal factors, time series, machine learning Artificial Neural Network for cumulative cases and Gaussian processes for incident data. The models are fitted, trained and tested by using data for COVID-19 weekly confirmed cases in Mexico. Predictions for 14 weeks in the future give us an early glimpse of the appearance of a new COVID 19 wave in Mexico at the end of 2022. R-squared measures (coefficient of determination) for these predictions are reported and some conclusions are drawn from the predictions.
