Multiple Regression Model for Predicting New COVID-19 Cases in Ivory Coast

Multiple Regression Model for Predicting New COVID-19 Cases in Ivory Coast
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-9
Year of Publication : 2023
Author : Assie Brou Ida, N’Guessan Béhou Gérard
DOI : 10.14445/22315381/IJETT-V71I9P214

How to Cite?

Assie Brou Ida, N’Guessan Béhou Gérard, "Multiple Regression Model for Predicting New COVID-19 Cases in Ivory Coast," International Journal of Engineering Trends and Technology, vol. 71, no. 9, pp. 157-161, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I9P214

Abstract
In recent years, the COVID-19 pandemic has shaken the whole world, particularly our country, Côte d'Ivoire, which has had certain barrier measures imposed by the state in its response to this disease. The appearance of new cases of contamination justifying these measures was an indicator of whether the government had stopped (abolished) them. The prediction of new contamination cases has, therefore, contributed to a framework of barrier measures to allow the population to go about their daily activities more easily. In this study, we describe the approach to implementing a model for predicting new contamination cases using machine learning algorithms. The involvement of expertise and its importance in the interpretation of the results obtained are highlighted.

Keywords
Machine learning, COVID-19, Multiple regression, Decision support.

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