Epidemics (häftad, eng)

Models and ''models-with-data'' have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and controlUsing mathematical models to understand infectious disease, dynamics has a very rich history in epidemiology. The field has seen broad expansions of theories as well as a surge in real-life application of mathematics to dynamics and control of infectious disease. The chapters of Epidemics: Models and Data Using R have been organized as follows: chapters 1-10 is a mix and match of models, data and statistics pertaining to local disease dynamics; chapters 11-13 pertains to spatial and spatiotemporal dynamics; chapter 14 highlights similarities between the dynamics of infectious disease and parasitoid-host dynamics; Finally, chapters 15 and 16 overview additional statistical methodology useful in studies of infectious disease dynamics.

This book can be used as a guide for working with data, models and ''models-and-data'' to understand epidemics and infectious disease dynamics in space and timeAll the code and data sets are distributed in the epimdr2 R package to facilitate the hands-on philosophy of the text.