Differential Equations and Applications to COVID-19
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.
Authors
- Laure Gouba (ORCID: https://orcid.org/0000-0002-1203-238X)
- Tierry Mitonsou Hounkonnou
Institutions
- The Abdus Salam International Centre for Theoretical Physics (ICTP) (IT)
Publication Details
- Journal
- Mathematics
- Published
- 2024-09-02
- DOI
- https://doi.org/10.3390/math12172738
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00