Stochastic Epidemic Models with Inference

Explore the intricate world of infectious disease dynamics with Stochastic Epidemic Models with Inference by Tom Britton. Published by Springer Nature Switzerland AG in 2019, this comprehensive paperback spans 474 pages and offers a deep dive into stochastic models that govern the spread of epidemics within human populations.

Derived from a two-week intensive ICPAM/CIMPA school held in Ziguinchor, Senegal, this book presents valuable insights and methodologies for understanding how diseases propagate. Whether you're a researcher, a student in epidemiology, or a public health professional, this text is an essential resource packed with real-world applications and theoretical foundations. Discover how stochastic modeling can inform effective strategies in combating infectious disease outbreaks.

Enhance your expertise with this pivotal work by a leading author in the field.