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Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases
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Epidemics - Models and Data Using R (Paperback, 2nd ed. 2023)
Loot Price: R2,116
Discovery Miles 21 160
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Epidemics - Models and Data Using R (Paperback, 2nd ed. 2023)
Series: Use R!
Expected to ship within 18 - 22 working days
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This book is designed to be a practical study in infectious disease
dynamics. It offers an easy-to-follow implementation and analysis
of mathematical epidemiology. It focuses on recent case studies in
order to explore various conceptual, mathematical, and statistical
issues. The dynamics of infectious diseases shows a wide diversity
of pattern. Some have locally persistent chains-of-transmission,
others persist spatially in consumer-resource metapopulations. Some
infections are prevalent among the young, some among the old and
some are age-invariant. 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. Models and 'models-with-data' have proved
invaluable for understanding and predicting this diversity, and
thence help improve intervention and control. Using 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 time. All the code and
data sets are distributed in the epimdr2 R package to facilitate
the hands-on philosophy of the text.
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