Stochastic Epidemic Models with Inference  [electronic resource] / 
edited by Tom Britton, Etienne Pardoux. 
 - 1st ed. 2019. 
 - XVIII, 474 p. 28 illus., 17 illus. in color.  online resource. 
 - Mathematical Biosciences Subseries,  2255  2524-6771 ; .
 - Mathematical Biosciences Subseries,  2255 .
<br/><br/> Focussing on stochastic models for the spread of infectious diseases in a human population, this book is the outcome of a two-week ICPAM/CIMPA school on "Stochastic models of epidemics" which took place in Ziguinchor, Senegal, December 5–16, 2015. The text is divided into four parts, each based on one of the courses given at the school: homogeneous models (Tom Britton and Etienne Pardoux), two-level mixing models (David Sirl and Frank Ball), epidemics on graphs (Viet Chi Tran), and statistics for epidemic models (Catherine Larédo). The CIMPA school was aimed at PhD students and Post Docs in the mathematical sciences. Parts (or all) of this book can be used as the basis for traditional or individual reading courses on the topic. For this reason, examples and exercises (some with solutions) are provided throughout. 
<br/><br/><label>ISBN: </label>9783030309008 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-30900-8  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Probabilities.<br/>Epidemiology.<br/>Biomathematics.<br/>Probability Theory and Stochastic Processes.<br/>Epidemiology.<br/>Mathematical and Computational Biology.
<br/><br/><label>LC Class. No.: </label>QA273.A1-274.9 QA274-274.9 
<br/><br/><label>Dewey Class. No.: </label>519.2