Mathematical Modelling Of Zombies
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Mathematical Modelling of Zombies
Author: Robert Smith?
language: en
Publisher: University of Ottawa Press
Release Date: 2014-10-14
In this terrible new COVID-19 world, the University of Ottawa is doing its part by offering a 50% discount on this very important book. We decided not to rewrite the witty book description, though we realize it is tone-deaf at the present moment, as we wanted to give readers a sense of the tone of this title. But don’t be deceived: while a fun read, this book will help you better understand how epidemiologists, governments and health care planners use mathematical models to figure out how quickly epidemics and pandemics spread, in order to plan appropriately. Reading has perhaps never been as important, and this book should be at the top of your reading list. You’re outnumbered, in fear for your life, surrounded by flesheating zombies. What can save you now? Mathematics, of course. Mathematical Modelling of Zombies engages the imagination to illustrate the power of mathematical modelling. Using zombies as a “hook,” you’ll learn how mathematics can predict the unpredictable. In order to be prepared for the apocalypse, you’ll need mathematical models, differential equations, statistical estimations, discretetime models, and adaptive strategies for zombie attacks—as well as baseball bats and Dire Straits records (latter two items not included). In Mathematical Modelling of Zombies, Robert Smith? brings together a highly skilled team of contributors to fend off a zombie uprising. You’ll also learn how modelling can advise government policy, how theoretical results can be communicated to a nonmathematical audience and how models can be formulated with only limited information. A forward by Andrew Cartmel—former script editor of Doctor Who, author, zombie fan and all-round famous person in science-fiction circles—even provides a genealogy of the undead. By understanding how to combat zombies, readers will be introduced to a wide variety of modelling techniques that are applicable to other real-world issues (biology, epidemiology, medicine, public health, etc.). So if the zombies turn up, reach for this book. The future of the human race may depend on it.
Braaaiiinnnsss!
Author: Robert Smith?
language: en
Publisher: University of Ottawa Press
Release Date: 2011-10-08
In the fight against zombies, our most important weapons are our brains. It's time to unleash them. Think you know a thing or two about zombies? Think again. If you’re going to keep your wits – and your brains – about you during a zombie attack, you need expert advice. Braaaiiinnnsss!: From Academics to Zombies gathers together an irreverent group of scholars and writers to take a serious look at how zombies threaten almost every aspect of our lives. Spawned from the viral publication "When Zombies Attack!: Mathematical Modelling of an Outbreak of Zombie Infection," this multidisciplinary book draws on a variety of fields including biology, history, law, gender studies, archaeology, library science and landscape architecture. Part homage to zombie films and fiction, part cultural study, this collection humorously explores our deep-seated fear of the undead. Engaging and accessible, Braaaiiinnnnssss! will amuse academics and zombie fans alike. Published in English.
Infectious Disease Modelling Research Progress
Author: Jean Michel Tchuenche
language: en
Publisher: Nova Biomedical Books
Release Date: 2009
This book concentrates on the epidemiology of corruption and disease transmission as a saturable interaction as well as case studies of infectious diseases of global public health concern, namely drug resistant TB, influenza and malaria. It gives the students and researchers in related areas ample information on disease epidemiology and transmission dynamics, and well-elaborated mathematics useful in analysing the proposed models. Great emphasis is not only placed on describing the models, but also on analysing and bringing out results of great epidemiological meaning for public health control and planning.