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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