Theory of the Spread of Epidemics and Movement Ecology of Animals: An Interdisciplinary Approach using Methodologies of Physics and Mathematics

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Theory of the Spread of Epidemics and Movement Ecology of Animals: An Interdisciplinary Approach using Methodologies of Physics and Mathematics Authors: , Format: Hardback First Published: Published By: Cambridge University Press
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Pages: 400 Illustrations and other contents: Worked examples or Exercises Language: English ISBN: 9781108841405 Categories: , , ,

Exploiting powerful techniques from physics and mathematics, this book studies animal movement in ecology, with a focus on epidemic spread. Pulmonary syndrome is not only feared in epidemics of recent times, such as COVID-19, but is also characteristic of epidemics studied earlier such as Hantavirus. The Hantavirus is one of the book’s central topics. Correlations between epidemic outbreaks and precipitation events like El Nino are analyzed and spatial reservoirs of infection in off-period of the epidemic, known as refugia, are studied. Predicted traveling waves of infection are successfully compared to field observations. Territoriality in scent-marking animals is presented, with parallels drawn with the theory of melting. The flocking and herding of birds and mammals are described in terms of collective excitations. For scientists interested in movement ecology and epidemic spread, this book provides effective solutions to long-standing problems.

Weight0.73 kg
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'These authors have successfully written for adventurous interdisciplinary investigators who seek to understand how physics and biology can be combined to understand and develop effective strategies for disease containment. It would be difficult to find a more appropriate book for understanding and addressing the current pandemic … Highly recommended.' M. Schaab, Choice 'In my opinion, the book is well and balanced writing. The mathematical background given in Chapter 1 and in the 'A Technical Appendix' makes the book almost self-contained, which is very convenient for the readers.' Andrey Zahariev, zbMATH