Computational epidemiology: data-driven modeling of covid-19
Auteur :
Kuhl, Ellen
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030828899
Date de publication :
23 sept. 2021
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.