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 - IMAG
Preprints, Working Papers, ... Year : 2024

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

Abstract

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.

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hal-04766375 , version 1 (04-11-2024)

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  • HAL Id : hal-04766375 , version 1

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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⟩
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