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Ellen Kuhl

Computational Epidemiology: Data-Driven Modeling of COVID-19

Computational Epidemiology: Data-Driven Modeling of COVID-19

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  • More about Computational Epidemiology: Data-Driven Modeling of COVID-19

Format: Paperback / softback
Length: 312 pages
Publication date: 24 September 2022
Publisher: Springer Nature Switzerland AG

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.

Weight: 504g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030828929
Edition number: 1st ed. 2021

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