scholarly journals Forecasting Outbreak of COVID-19 in Turkey; Comparison of Box–Jenkins, Brown’s Exponential Smoothing and Long Short-Term Memory Models

2021 ◽  
Author(s):  
Didem Guleryuz
Keyword(s):  
Short Term Memory ◽  
Exponential Smoothing ◽  
Memory Models ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory

scholarly journals COVID-19 Pandemic: Analysis and Statistics of Confirmed Cases

2021 ◽  
Author(s):  
Vicente Enrique Machaca Arceda ◽  
Miguel Angel Machaca Arceda ◽  
Pamela Claudia Laguna Laura
Keyword(s):  
Latin American ◽  
Death Rate ◽  
Short Term Memory ◽  
Exponential Smoothing ◽  
Short Term ◽  
Term Memory ◽  
Long Short Term Memory ◽  
Latin American Countries

Coronavirus COVID-19 started in December 2019, and it has spread rapidly across China and the whole world. In this chapter, we analyzed the number of confirmed cases in US, India, France, Russia and Brazil. Additionally, we took into account Latin American countries like Argentina, Colombia, Peru, Chile and Mexico. We noticed, how some countries got a low death rate, despite its high number of confirmed cases (US). Additionally, it is interesting, how some countries with a high percentage of obesity got the highest death rate (Mexico). Also, we noticed a decreasing number in confirmed cases after a intensive vaccination plan (US). Finally, we evaluated Weibull Long Short-Term Memory (W-LSTM) and Multiplicative Trend Exponential Smoothing (MTES) to predict confirmed cases, in this case, W-LSTM showed a more realistic forecasting.

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