Computational Epidemiology_ Data-Driven Modeling of COVID-19

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Computational Epidemiology: Data-Driven Modeling of COVID-19
Author: Ellen Kuhl
English | 2022 | ISBN: 3030828921 | 328 Pages | PDF (True) | 24 MB

This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health.

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