Download the fantastic book titled Computational Epidemiology written by Ellen Kuhl, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Computational Epidemiology", which was released on 22 September 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Computational Epidemiology by Ellen Kuhl PDF
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. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.
Detail About Computational Epidemiology PDF
- Author : Ellen Kuhl
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 312 pages
- ISBN : 3030828905
- Release Date : 22 September 2021
- PDF File Size : 55,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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