Computational Epidemiology

Name: Computational Epidemiology
Brand: Springer, Berlin
SKU: 9783030828929
Price: 67.05 EUR
Availability: InStock

Data-Driven Modeling of COVID-19

Автор: Ellen Kuhl

Език:

Корици: С меки корици

Издател: Springer, Berlin

Наличност: Външен склад

Изпращаме след 5-8 дни

67.05 € 131.13 лв

This innovative textbook brings together modern concepts in mathematical epidemiology, computational...

Информация за книгата

Автор

Ellen Kuhl

Език

Английски език

Корици

Книга - С меки корици

Издадена

2022

страници

312

EAN

9783030828929

Enbook ID

41443021

Издател

Springer, Berlin

Теглоt

499

Размери

155 x 235 x 18

Пълно описание

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.

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Computational Epidemiology

Data-Driven Modeling of COVID-19

Информация за книгата

Пълно описание

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