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>Application of forecasting methods to a mathematical model for adjusting the determination of the number of people infected by Covid-19 in the community of Madrid (Spain)
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Application of forecasting methods to a mathematical model for adjusting the determination of the number of people infected by Covid-19 in the community of Madrid (Spain)
This study shows the application of a quantitative prognostic model such as double exponential smoothing with determination of prognostic errors to apply to a mathematical model previously developed by the author to be able to apply it in the determination of the number of people infected by Covid-19 anywhere. In this study it has been applied in the Community of Madrid where it has turned out to be the place with the biggest outbreak of infection by the virus in Spain. Different hypotheses have been made in order to determine the model's boundary conditions, as well as to obtain greater objectivity in its application. As a sample space to validate the model. The conclusions derived show a very fine adjustment of the entire sample space of the model proposed in this study, which could be used to make efficient forecasts in order to take the appropriate measures at the right time to combat this type of disease.
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