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001453599 001__ 1453599
001453599 003__ OCoLC
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001453599 019__ $$a1354631840$$a1367358706
001453599 020__ $$a9783031120565$$q(electronic bk.)
001453599 020__ $$a3031120566$$q(electronic bk.)
001453599 020__ $$z9783031120558
001453599 020__ $$z3031120558
001453599 0247_ $$a10.1007/978-3-031-12056-5$$2doi
001453599 035__ $$aSP(OCoLC)1355222029
001453599 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dOCLCQ$$dFIE$$dUKAHL
001453599 049__ $$aISEA
001453599 050_4 $$aRA652.2.D38
001453599 08204 $$a614.40285$$223/eng/20230104
001453599 1001_ $$aBjørnstad, Ottar N.
001453599 24510 $$aEpidemics :$$bmodels and data using R /$$cOttar N. Bjørnstad.
001453599 250__ $$a2nd ed.
001453599 260__ $$aCham :$$bSpringer,$$c2022.
001453599 300__ $$a1 online resource (386 p.).
001453599 336__ $$atext$$btxt$$2rdacontent
001453599 337__ $$acomputer$$bc$$2rdamedia
001453599 338__ $$aonline resource$$bcr$$2rdacarrier
001453599 4901_ $$aUse R!
001453599 5050_ $$aChapter 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.
001453599 506__ $$aAccess limited to authorized users.
001453599 520__ $$aThis 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.
001453599 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 4, 2023).
001453599 650_0 $$aEpidemics$$xData processing.
001453599 650_0 $$aCommunicable diseases$$xData processing.
001453599 650_0 $$aR (Computer program language)
001453599 655_0 $$aElectronic books.
001453599 77608 $$iPrint version:$$aBjørnstad, Ottar N.$$tEpidemics$$dCham : Springer International Publishing AG,c2022$$z9783031120558
001453599 830_0 $$aUse R!
001453599 852__ $$bebk
001453599 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12056-5$$zOnline Access$$91397441.1
001453599 909CO $$ooai:library.usi.edu:1453599$$pGLOBAL_SET
001453599 980__ $$aBIB
001453599 980__ $$aEBOOK
001453599 982__ $$aEbook
001453599 983__ $$aOnline
001453599 994__ $$a92$$bISE