Study on the Methodology of Regressive Objective Regression According to the New SARS-CoV-2 COVID-19 Pandemic in the Municipality of Santa Clara and Cuba| Chapter 6 | Issues and Development in Health Research Vol. 2
The COVID-19 pandemic that is sweeping the globe has taken an unusual turn in our country. The goal of the study was to predict a collection of parameters (deaths, critical, severe, serious, confirmed, and new cases) associated with the SARS pandemic CoV-2 COVID-19 in Cuba during the year 2020 using the Regressive Objective Regression (ROR) methodology. Deaths, severe, critical, confirmed, and new cases in Santa Clara municipality, Villa Clara province, and Cuba were among the parameters examined. Objective Regressive Regression (ORR) modelling was utilised, which is based on a combination of Dummy variables and ARIMA modelling. According to the ROR approach, In the first phase, the dichotomic variables DS, DI, and NoC are formed, and then the module corresponding to the Regression analysis is run, specifically the ENTER method, which returns the predicted variable and the ERROR. Mathematical models were obtained using the ROR methodology, which explained their behaviour based on...