Differential Equations and Applications to COVID-19
Year: 2024
Type: article
Abstract: This paper focuses on the application of the Verhulst logistic equation to model in retrospect the total COVID-19 cases in Senegal during the period from April 2022 to April 2023. Our predictions for April 2023 are compared with the real COVID-19 data for April 2023 to assess the accuracy of the model. The data analysis is conducted using Python programming language, which allows for efficient data processing and prediction generation.
Source: Mathematics
DOI: 10.3390/math12172738
Authors: Tierry Mitonsou Hounkonnou, Laure Gouba
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,955
OpenAlex ID: W4402127601
