Computational Epidemiology Data-Driven Modeling of COVID-19

“Right off the bat, let me say that I really enjoyed Kuhl’s book. It is beautifully written, very engaging, and the topics and examples are thoughtfully chosen. … This is a timely and truly wonderful book.” (Anita T. Layton, SIAM Review, Vol. 64 (3), September, 2022)

“This is a very ambitious book. … Every chapter has a collection of very good problems. … the many examples using real data make the book a valuable resource. Overall the book presents a number of important ideas and offers some significant new approaches for modeling real and complicated epidemics. It’s a great place to begin to understand where mathematical epidemiology is now and where it has to go.” (Bill Satzer, MAA Reviews, May 9, 2022)