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.

Code:
https://k2s.cc/file/66e9381ac86ec/978-3-030-82890-5.pdf
Code:
https://rapidgator.net/file/aba869d00b51471193fd62c45b3766a0/978-3-030-82890-5.pdf.html