Angel Felix Oses Gomez, Ricardo Oses Rodriguez, Rigoberto Fimia Duarte
In this paper the total cases of covid-19 in Villa Clara Province, Cuba were modelled, the data begin in december 2020 until january 2022. The Regressive methodology called ROR was used with the help of the SPSS software. The modelling explain the 90 % of the total variance of data with an error of 127 cases. The model depends of the cases lagged in 105 days, this coincide with the nationals modelling for this diseases.The effects of vacination is litle but significative at 100 %, the cases of covid depends of the atmospherics pressure of the Yabu meteorological station, when the pressure increase, then increase the number of cases of covid, with an increase of 1000 hPa, the causes of covid increase in 184 cases, we know that the contagious is the main cause of spread this diseases, but we concluded that the atmospherics pressure can favor the incidence of the virus and so the quantity of persons with covid-19