03786cam a2200565Ii 45000010014000000030008000140050017000220060019000390070015000580080041000730400035001140200042001490200039001910200035002300200032002650200035002970200032003320200047003640200044004110200029004550240031004840350022005150350024005370500021005610720025005820720025006070720025006320720016006570820021006731000041006942450091007352640036008262640011008623000073008733360026009463370026009723380036009984900044010345000575010785201091016535880047027446500039027916500047028306500072028776500037029496500043029868560072030298560102031019990017032039781003125983FlBoTFG20260210180832.0m     o  d        cr cnu---unuuu201209t20212021flua    ob    001 0 eng d  aOCoLC-PbengerdaepncOCoLC-P  a9781000336474qelectronic publication  a1000336476qelectronic publication  a9781000336313qelectronic book  a100033631Xqelectronic book  a9781003125983qelectronic book  a1003125980qelectronic book  z9781000336399qelectronic bookqMobipocket  z1000336395qelectronic bookqMobipocket  z9780367633868qhardcover7 a10.1201/97810031259832doi  a(OCoLC)1233313633  a(OCoLC-P)1233313633 4aRA643b.B76 2021 7aMATx0290102bisacsh 7aMEDx0900002bisacsh 7aMEDx0220902bisacsh 7aPBT2bicssc04a616.900151952231 aBroemeling, Lyle D.,d1939-eauthor.10aBayesian analysis of infectious diseases :bCOVID-19 and beyond /cLyle D. Broemeling. 1aBoca Raton :bCRC Press,c2021. 4c©2021  a1 online resource (x, 331 pages) :billustrations (black and white).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier1 aChapman & Hall/CRC biostatistics series  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  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.  aOCLC-licensed vendor bibliographic record. 0aCommunicable diseasesxStatistics. 0aBayesian statistical decision theory.9793 7aMATHEMATICS / Probability & Statistics / Bayesian Analysis2bisacsh 7aMEDICAL / Biostatistics2bisacsh 7aMEDICAL / Infectious Diseases2bisacsh403Taylor & Francisuhttps://www.taylorfrancis.com/books/9781003125983423OCLC metadata license agreementuhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf  c92306d92305