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COV19Sim Morocco: A Web-Based Application for Simulating COVID-19 Dynamics

  • Touria Jdid,
  • Mohammed Benbrahim,
  • Mohammed Nabil Kabbaj

摘要

Infectious diseases present significant threats to humanity, with the COVID-19 pandemic wreaking havoc globally. Even though there are considerable educational resources to learn the fundamentals of epidemic modeling, a notable disparity exists between the relatively simple models employed for theoretical exposition and those utilized in practical applications to model COVID-19 dynamics. Comprehending these models demands substantial prerequisite knowledge and can be daunting for individuals new to epidemiological modeling and governing bodies. This study introduces COV19Sim Morocco, a web application designed to simulate COVID-19 dynamics using compartmental models. Through an interactive and user-friendly interface, the application presents a versatile tool for exploring COVID-19 data, simulating the spread of the virus, fitting models to available data, and generating predictions.