The Role of Mathematical Models in Epidemic Prediction and the Challenges of COVID-19 Comment on 'Data-driven mathematical modeling approaches for COVID-19: A survey' by

E Fanchon (1) , Angélique Stéphanou (1)

1 TIMC-BCM - Biologie Computationnelle et Modélisation

Mathematical models are essential tools in epidemiology, aiding in both understanding and predicting disease dynamics. These models typically pursue two main objectives: first, to simulate epidemiological processes based on key assumptions, thereby improving understanding of disease transmission and behavior; and second, to predict the progression of an outbreak, helping inform public health strategies. During the COVID-19 pandemic, mathematical modeling took center stage to understand this new virus and its rapid global spread.

Domains: Life Sciences [q-bio]; Modeling and Simulation

E Fanchon, Angélique Stéphanou. The Role of Mathematical Models in Epidemic Prediction and the Challenges of COVID-19 Comment on 'Data-driven mathematical modeling approaches for COVID-19: A survey' by. 2024. ⟨hal-04766375⟩