000 | 03752cam a2200553Ii 4500 | ||
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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 |
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020 |
_a9781000336474 _qelectronic publication |
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020 |
_a1000336476 _qelectronic publication |
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020 |
_a9781000336313 _qelectronic book |
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020 |
_a100033631X _qelectronic book |
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020 |
_a9781003125983 _qelectronic book |
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020 |
_a1003125980 _qelectronic book |
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020 |
_z9781000336399 _qelectronic book _qMobipocket |
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020 |
_z1000336395 _qelectronic book _qMobipocket |
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020 |
_z9780367633868 _qhardcover |
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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 |
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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). |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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. |
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650 | 0 | _aBayesian statistical decision theory. | |
650 | 7 |
_aMATHEMATICS / Probability & Statistics / Bayesian Analysis _2bisacsh |
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650 | 7 |
_aMEDICAL / Biostatistics _2bisacsh |
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650 | 7 |
_aMEDICAL / Infectious Diseases _2bisacsh |
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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 |