  This paper focuses on the application of the Verhulst logistic equation to
model in retrospective 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.
