Correlation Analysis of COVID-19 Case Trends in Dakar, Senegal

Abstract

The COVID-19 pandemic has postured significant challenges around the world, necessitating compelling predictive models for educated decision-making. This study utilizes a regression model to analyze and forecast COVID-19 case trends in Dakar Senegal by utilizing historical case data the demonstrates distinguishes patterns and predicts future case tallies supporting in proactive public health mediations. The results illustrate the model's capacity to capture the increasing trend of diseases with sensible accuracy. This study contributes to scourge modeling endeavors advertising experiences for policymakers to implement convenient preventive measures. Future work may coordinate extra variables such as vaccination rates and portability data to improve predictive accuracy.