2 hasil untuk "Kernel Prieto"
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Artikel Jurnal Teks lengkap
Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches
The COVID-19 pandemic has been widely spread and affected millions of people and caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID-19. This manuscript aims to present models to predict, firstly, the number of coronavirus cases and secondly, the hospital care…
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Artikel Jurnal Teks lengkap
On mobility trends analysis of COVID–19 dissemination in Mexico City
This work presents a tool for forecasting the spread of the new coronavirus in Mexico City, which is based on a mathematical model with a metapopulation structure that uses Bayesian statistics and is inspired by a data-driven approach. The daily mobility of people in Mexico City is mathematically…