Computational Epidemiology : Data Driven Modeling of COVID 19 (Original PDF from Publisher)

Computational Epidemiology : Data Driven Modeling of COVID 19 (Original PDF from Publisher)

by Author Ellen Kuhl

This ground-breaking textbook combines cutting-edge ideas from computational modeling, physics-based simulation , data science and machine learning to comprehend one of the most important issues of our time : the dynamics and control of the COVID-19 pandemic .

In light of a global pandemic that is directly related to human health , it imparts the necessary skills for modeling and simulating nonlinear dynamic systems . If you are a student , instructor , fundamental scientist , medical researcher , big data enthusiast or individual working in the natural or social sciences : For you , this book ! It acts as a monograph for academics and scientists as well as a textbook for graduate and undergraduate students .

It can be used in classes on applied mathematics , biomedical engineering, biostatistics , computer science , data science , epidemiology , health sciences , machine learning , mathematical biology , numerical techniques and probabilistic programming . It can also be used in courses on biomedical engineering and epidemiology . The motivation for writing this book was a desire to better understand the impact that data-driven modeling played during the COVID-19 pandemic .

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