Epidemics

Models and Data Using R

AvOttar N. Bjørnstad

Häftad, Engelska, 2022

Del i serien Use R!

878 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-12-14
Mått:155 x 235 x 26 mm
Vikt:612 g
Format:Häftad
Språk:Engelska
Serie:Use R!
Antal sidor:387
Upplaga:2
Förlag:Springer International Publishing AG
ISBN:9783031120558

Utforska kategorier

Mer om författaren

Ottar Bjornstad researches population dynamics of epidemiological and ecological outbreaks. Focal systems includes human infections like measles, whooping cough, rubella, SARS-CoV-2 and influenza; animal infections like rabies, hantavirus and distemper; and outbreaks of various insects of biomedical and agricultural concern. 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. Dr. Bjornstad is a Distinguished Professor of Entomology and Biology holds the J. Lloyd & Dorothy Foehr Huck Chair of Epidemiology at the Pennsylvania State University and is an elected fellow of the Norwegian Academy of Science and Letters, American Association for the Advancement of Sciences and the Ecological Society of America.

Innehållsförteckning

Chapter 1. Introduction.- Chapter 2. SIR.- Chapter 3. R0.- Chapter 4. FoI and age-dependent incidence.- Chapter 5. Seasonality.- Chapter 6. Time Series Analysis.- Chapter 7. TSIR.- Chapter 8.- Trajectory Matching.- Chapter 9. Stability and Resonant Periodicity.- Chapter 10. Exotica.- Chapter 11. Spatial Dynamics.- Chapter 12. Transmission on Networks.- Chapter 13. Spatial and Spatiotemporal Patterns.- Chapter 14. Parasitoids.- Chapter 15. Non-Independent Data.- Chapter 16. Quantifying In-Host Patterns.- Bibliography.- Index.