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HIV Transmission: Statistical Modelling PDF

340 Pages·2020·7.704 MB·English
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HIV Transmission Statistical Modelling D. M. Basavarajaiah Bhamidipati Narasimha Murthy 123 HIV Transmission (cid:129) D. M. Basavarajaiah Bhamidipati Narasimha Murthy HIV Transmission Statistical Modelling D.M.Basavarajaiah BhamidipatiNarasimhaMurthy DepartmentofStatisticsandComputer DepartmentofBiostatistics Science NationalInstituteofEpidemiology,ICMR VeterinaryAnimalandFisheriesSciences Chennai,TamilNadu,India University Bengaluru,Karnataka,India ISBN978-981-15-0150-0 ISBN978-981-15-0151-7 (eBook) https://doi.org/10.1007/978-981-15-0151-7 #SpringerNatureSingaporePteLtd.2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe materialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors, and the editorsare safeto assume that the adviceand informationin this bookarebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressedorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictional claimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSingaporePteLtd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore This book is dedicated to all HIV-infected children. Preface HIVisascourge.Researchofalmost35yearsintohumanimmunodeficiencyvirus (HIV) has conceivably precipitated more questions than answers. It is widely understood that unprotected sexual intercourse, intrauterine device (IUD), and mother to child transmission (MTCT) are the main modes of HIV transmission. It’sbeenmorethanthreedecadesatgloballevelitisanaddressableissue,thathas playedasignificantroleofHIVpreventionprogramatnationalandgloballevel.Due tothepaucityofenquiry-basedstudy,thepolicymakerswereunabletoimplement new scientific and innovative eradicated programs of HIV MTCT. In this propin- quityoftheresearchgap,theHIVmodel-basedstudywillhelptoelucidateobserved patternsofHIVverticaltransmissionrateatglobalscenario.However,themodelling techniquesareroutinelyusedtoestimatenationalandglobaltrendsofthenumberof infantsinfectedthroughHIV-MTCT.Suchtypeoffittedmodelsdependontheinput data sets from individual antiretroviral therapy (ART) centers. The present study interventionhasdemonstrateddifferentstatisticalandmathematicalmodelsbasedon the primary and secondary HIV life data sets collected from thrust area (high prevalence state). The collected HIV massive data sets were demonstrated with variousmathematicalandstatisticalmodels.Thesefittedmodelsproduceaninsight analyticalalgorithmstoproveHIV transmissionrateatgreater accuracyandeasily substituteHIV transmissionwithprior andposterior probabilities (both peripartum andpostnatal)forestimationofmaximumlikelihood(MLE’s)ofHIVtransmission rate and algebraic bifurcations (forward/backward). Intervention of maternal infections (either incident or prevention), timing of infection, comorbidity, and clinical history have been utilized for the determination of HIV transmission rate (based on HIV MTCT infection rate). Since the fitted mathematical and statistical models would clarify the full implications of the research findings and global population dynamism of the vertical transmission (MTCT), building of this few cited mathematical models has been used extensively over the past decades to examinetheepidemicofHIVandacquiredimmunodeficiencysyndrome(AIDS)at global level. As per the normative results of the HIV vertical transmission, these fitted models will serve as an important analytical algorithms to recognize the inherent limitations of massive HIV data sets; impart scientific evidence for researchers, clinicians, and public health administrators etc. In this present book, a several important practical and statistical implications and deep illustrations are discussed, which seem to be simple yet complex, that need to be addressed and vii viii Preface examinedwhileanalyzingHIVMTCTmassivedatasets.Forexample,HIVitselfis alife-threateningdeadlydisease.However,toomanyquestionsarosefromHIVlife datasets,andtheresearchers/statisticians/cliniciansarefacingseveralpitfallsforthe simulationandreductionofHIVmassivedatasetswhilecarryingtrickysituationsof hypothesistestinganddecision-makingproblemsatlargerpopulationlevel.Major- ity of the chapters tailored in this book, which can attempt to demonstrate various techniques of building mathematical and statistical models while analyzing HIV transmission from mother to child in HIV real-life data sets. The present book consists of 13 chapters. Chapter 1 describes introduction of HIV transmission, briefreviewofthepublishedandunpublishedliteraturefrom1997to2019,building ofmathematicalandstatisticalmodellingtechniquesofHIVMTCT,objectivesand chapterizationofthebook,real-lifedatasets,methodology,variablesconsideredfor the study, HIV serological markers, different patterns of HIV, TB co-infection among children living with HIV (CLHIVs), etc. Chapter 2 discusses the statistical modelling of HIV transmission. Chapter 3 describes the HIV vertical transmission DTSMsimulationmodelsfromglobalandnationalperspectivesandthevalidityof themodelwhichwassimulatedbydifferentvariedparameters.Chapter4describes largedatamatrices,randomwalkmodel,andapplicationofentropyinHIVmother to child transmission. This theoretical issue was formulated with suitable illustrations andvariousexamplesbyusing real-lifeHIV MTCT data setsandalso fitted models that describe the different techniques of data reduction driven by the random walk free probability values. Chapter 5 deals with statistical modelling on postnatal transmission of HIV type I infection from mother to child on global perspectives and examines the applicability of different statistical models in real- lifedatasetsofHIVmothertochildtransmissionandantenatalcare(ANCs)women. Chapter 6givessurvivabilityandgrowth modelapproachtoCD countsofpeople 4 living with HIV (PLHIVs). This chapter also describes briefly and discusses the variousissuesofgrowthmodelsanditsapplicationstowardsestimationofsurvival rateinreal-lifedatasets.Chapter7discussespredictivemodelapproachtoHIVTB co-infection in vertical transmission. Chapter 8 gives fitted Bayesian modelling approach to HIV transmission and describes Gaussian emulator approach that was used to extract the probability values of HIV transmission, models that were formulatedbynetworkingniche,andalsodescribefrequentistandBayesianmodel differences. Chapter 9 discusses HIV projection models, while Chap. 10 discusses thesimulationmodellingtechniquesofHIV/AIDS.Chapter11describesthegenetic variantsofHIVmothertochildtransmissionanditsmeta-analysis,whichwasdone for the real historical data sets, and have also extracted HIV subtype B and C env genes from 190 mother-infant pairs at global level. Chapter 12 deals with the statistical perspective approach to selection of sample. Chapter 13 describes the main significance of the entire book for induction of mathematical and statistical models to prove new formulated models of HIV mother to child transmission at population level. The prominence of the entire intact of the book traces salient objectives and practical applicability tolearn what methods are available and most importantly when they should be applied in real life. Many illustrations accord to Preface ix clarifytheuseofmathematicalmodelsandtosubstantiatewhatconclusionscanbe made at the right time. All the topics are driven purely on the HIV transmission research gaps and its mechanisms, according to the level of apprehension of the researchscholars,policymakers,clinicians,andpublichealthadministrators. Bangaluru,Karnataka,India D.M.Basavarajaiah Chennai,TamilNadu,India BhamidipatiNarasimhaMurthy Acknowledgments Firstandforemost,praisesandthankstotheGod,theAlmighty,forhisshowersof blessings throughout our research work to complete the research successfully. We aregratefultoallofthosewithwhomwehavehadthepleasuretoworkwithduring thisandotherrelatedHIVresearchworks.Thisbookistailorbasedonresearchwork conductedonchildrenlivingwithHIV(CLHIV)andANCsbetween2009tilldate. We are grateful to a number of friends and colleagues who have encouraged us to start the research work, to preserve it, and finally to publish it. We would like to speciallythankProf.Rajashekaraiah,VijayaPUCollege,forhistechnicalsupports for proof reading and all the officers of the National AIDS Control Organization, GovernmentofIndia,forsharingverygoodHIVdataforthisresearchwork.Finally, wewouldliketoacknowledgewithgratitudethesupportandloveofourfamily–our parentswhokeptusgoing.Thisbookwouldnothavebeenpossiblewithoutthem. WefeelimmenselyveryproudforextendingourheartiestthankstotheHIV-infected childrenwhoparticipatedduringthisstudyperiod. xi Contents 1 IntroductionofHIVTransmission. . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 WHOTransmissionThroughBFMakestheFollowing Recommendation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 1.3 CD CellCountApproachtoHIVTransmission. . . . . . . . . . . 9 4 1.4 RNAPlasmaViralLoadApproachtoHIVTransmission. . . . . 10 1.5 PeriodicVariationofANCCD Counts. . . . . . . . . . . . . . . . . 10 4 1.6 CD PercentageofANCs(μ/dL). . . . . . . . . . . . . . . . . . . . . . 11 4 1.7 ANCViralLoadandSexualTransmission(CopiespermL). . . 11 1.8 SalientFeaturesofHIVMTCTPreventionStrategiesPracticedat GlobalLevel. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.9 RoutineHIVTestingDuringPregnancy. . . . . . . . . . . . . . . . . 14 1.10 DetectingofHIVInfectionUsingBloodTests. . . . . . . . . . . . 14 1.11 Opt-InandOpt-OutApproach. . . . . . . . . . . . . . . . . . . . . . . . 14 1.12 CounselingWomanWhoRefusesHIVTesting. . . . . . . . . . . . 15 1.13 DiscussingHIVTestPosttestCounseling. . . . . . . . . . . . . . . . 16 1.14 PosttestCounselingforHIVPregnantWomen. . . . . . . . . . . . 16 1.15 PosttestCounselingforHIV-NegativeWomen. . . . . . . . . . . . 16 1.16 AdditionalCarefortheHIV-PositiveWomanDuringPregnancy. . 17 1.17 TopicalAntiseptic. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 1.18 CaesareanSection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.19 Immunoglobulin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.20 AvoidanceofBreastfeeding. . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.21 VitaminA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 1.22 GlobalandNationalEpidemiologicalTrend. . . . . . . . . . . . . . 19 1.23 GlobalTrend. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.24 EconomicandDemographicImpactatNationalLevel. . . . . . . 21 1.25 StatisticalImplications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.26 ReviewofLiteratureSurvey. . . . . . . . . . . . . . . . . . . . . . . . . 23 1.27 ObjectivesoftheBook. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 1.28 OrganizationofBook. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.29 DescriptionofStudyArea. . . . . . . . . . . . . . . . . . . . . . . . . . . 35 1.29.1 SubgroupAnalysisStudySite. . . . . . . . . . . . . . . . . 36 xiii

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