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001 9781003125983
003 FlBoTFG
005 20220509193109.0
006 m o d
007 cr cnu---unuuu
008 201209t20212021flua ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781000336474
_qelectronic publication
020 _a1000336476
_qelectronic publication
020 _a9781000336313
_qelectronic book
020 _a100033631X
_qelectronic book
020 _a9781003125983
_qelectronic book
020 _a1003125980
_qelectronic book
020 _z9781000336399
_qelectronic book
_qMobipocket
020 _z1000336395
_qelectronic book
_qMobipocket
020 _z9780367633868
_qhardcover
024 7 _a10.1201/9781003125983
_2doi
035 _a(OCoLC)1233313633
035 _a(OCoLC-P)1233313633
050 4 _aRA643
_b.B76 2021
072 7 _aMAT
_x029010
_2bisacsh
072 7 _aMED
_x090000
_2bisacsh
072 7 _aMED
_x022090
_2bisacsh
072 7 _aPBT
_2bicssc
082 0 4 _a616.90015195
_223
100 1 _aBroemeling, Lyle D.,
_d1939-
_eauthor.
245 1 0 _aBayesian analysis of infectious diseases :
_bCOVID-19 and beyond /
_cLyle D. Broemeling.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
264 4 _c©2021
300 _a1 online resource (x, 331 pages) :
_billustrations (black and white).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aChapman & Hall/CRC biostatistics series
500 _aContents--Author iv...1. Introduction to Bayesian Inferences for Infectious Diseases..................12. Bayesian Analysis -- 53. Infectious Diseases ........394. Bayesian Inference for Discrete Markov Chains:Their Relevance to Infectious Diseases.........595. Biological Examples Modeled by Discrete Markov Chains................ 1136. Inferences for Markov Chains in Continuous Time.........1497. Bayesian Inference: Biological Processes that Follow a Continuous Time Markov Chain.......1958. Additional Information about Infectious Diseases.......253Index ...... 315
520 _aBayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pandemic. The book describes the foundation of Bayesian statistics while explicating the biology and evolutionary behavior of infectious diseases, including viral and bacterial manifestations of the contagion. The book discusses the application of Markov Chains to contagious diseases, previews data analysis models, the epidemic threshold theorem, and basic properties of the infection process. Also described are the chain binomial model for the evolution of epidemics. Features: Represents the first book on infectious disease from a Bayesian perspective. Employs WinBUGS and R to generate observations that follow the course of contagious maladies. Includes discussion of the coronavirus pandemic as well as many examples from the past, including the flu epidemic of 1918-1919. Compares standard non-Bayesian and Bayesian inferences. Offers a companion website with the R and WinBUGS code.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aCommunicable diseases
_xStatistics.
650 0 _aBayesian statistical decision theory.
650 7 _aMATHEMATICS / Probability & Statistics / Bayesian Analysis
_2bisacsh
650 7 _aMEDICAL / Biostatistics
_2bisacsh
650 7 _aMEDICAL / Infectious Diseases
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003125983
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c129757
_d129757