Description This book is designed to be a practical study in infectious disease dynamics.
Lloyd & Dorothy Foehr Huck Chair of Epidemiology at the Pennsylvania State University..
Bjornstad is a Distinguished Professor of Entomology and Biology and holds the J.
Dr.
His expertise has been used in an advisory capacity for outbreak control and mitigation by the USDA forest Service, the NIH Fogarty International Centre and the Bill and Melinda Gates Foundation.
He has expertise in statistical and computational approaches to the study of spatiotemporal dynamics, including the development of a suite of statistical methods for the analysis of spatial and temporal Data as implemented in various R-packages.
Focal systems includes human infections like measles, whooping cough, rubella and influenza; animal infections like rabies, hantavirus and distemper; and outbreaks of various insects of biomedical and agricultural concern.
Ottar Bjornstad researches population dynamics of epidemiological and ecological outbreaks.
About the Author Dr.
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 time.
The chapters of Epidemics: Models and Data Using R have been organized in a reasonably logical way: 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.
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.
Using mathematical Models to understand infectious disease dynamics has a very rich history in epidemiology.
Models and \'models-with-data\' have proved invaluable for understanding and predicting this diversity, and thence help improve intervention and control.
Temporally, some diseases have little variation in prevalence, some have predictable seasonal shifts and others exhibit violent epidemics that may be regular or irregular in their timing.
Some infections are prevalent among the young, some among the old and some are age-invariant.
Some have locally persistent chains-of-transmission, others persist spatially in \'consumer-resource metapopulations\'.
The dynamics of infectious diseases shows a wide diversity of pattern.
The book focuses on recent case studies in order to explore various conceptual, mathematical, and statistical issues.
The book offers an easy to follow implementation and analysis of mathematical epidemiology.
Description This book is designed to be a practical study in infectious disease dynamics
