+- Forum Rockoldies (https://rockoldies.net/forum)
+-- Forum: E BOOKS - AUDIOBOOKS (https://rockoldies.net/forum/forumdisplay.php?fid=9)
+--- Forum: novels, non-fiction and newspapers english (https://rockoldies.net/forum/forumdisplay.php?fid=11)
+---- Forum: Literature (https://rockoldies.net/forum/forumdisplay.php?fid=31)
+---- Thema: Computational Epidemiology: Data-Driven Modeling of COVID-19 (/showthread.php?tid=69045)
Computational Epidemiology: Data-Driven Modeling of COVID-19 - Panter - 11.03.2023
![[Bild: w0jxmt2kbyt1e3gpmshk29mfdk.jpg]](https://abload.de/img/w0jxmt2kbyt1e3gpmshk29mfdk.jpg)
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.