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020 _a9789811501517
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024 7 _a10.1007/978-981-15-0151-7
_2doi
040 _aEBLCP
_beng
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050 4 _aRC606.6
_bB373 2020eb
082 0 4 _a616.97/92
_223
100 1 _aBasavarajaiah, D. M.
245 1 0 _aHIV Transmission :
_bStatistical Modelling /
_cD.M. Basavarajaiah, Bhamidipati Narasimha Murthy.
264 1 _aSingapore :
_bSpringer,
_cc 2020.
300 _a1 online resource (340 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent.
337 _acomputer
_bc
_2rdamedia.
338 _aonline resource
_bcr
_2rdacarrier.
347 _atext file.
347 _bPDF.
504 _aIncludes bibliographical references.
505 0 _aChapter 1. Introduction -- Chapter 2. Statistical Modeling of HIV Transmission -- Chapter 3. HIV Vertical Transmission DTSM Simulation Models -- Global and National Prospective -- Chapter 4. Large Data matrices random walk Model and application of entropy in HIV Mother to Child transmission (MTCT) -- Chapter 5. Statistical Models of Postnatal Transmission of HIV type- I infection from Mother to Child on Global Perspectives -- Chapter 6. Survivability and Growth Models approach to CD4 Counts of PLHIVs -- Chapter 7. Predictive Model approach to HIV TB co-infection in Vertical transmission -- Chapter 8. Bayesian Artificial Neural network (ANN) Model approach to AIDS associated illness -- Chapter 9. HIV -Projection Models -- Chapter 10. Stochastic Simulation modeling techniques of HIV/AIDS -- Chapter 11. Meta analysis of Genetic variants of HIV Mother to Child Transmission -- Chapter 12. Statistical Perspective approach to Selection of Sample -- Chapter 13. Summary and implications for future research work.
_uhttps://buku.app/details/162091
520 _aThis book presents models describing HIV transmission rates at population level, discussing the main statistical methods and analytical interventions. It also assesses the practical applicability of the various modelling techniques, offering readers insights into what methods are available and, more importantly, when they should be used to address HIV transmission at global level. The book includes realistic simulation models fitted to clarify the rate of HIV mother-to-child transmission (HIV MTCT), and substantiates the conclusions that can be drawn as well as the appropriate time for making global-level clinical decisions concerning people living with HIV/AIDS (PLHIVs). Intended for students, academics and researchers, the book offers more than just an introduction to the topic - it also features in-depth, yet easy-to-understand, descriptions of a new mathematical/statistical HIV mother-to-child transmission model, making it a useful resource for clinicians, public health workers and policymakers involved in implementing HIV-prevention programmes at national /global level.
583 _aCataloging Notes:
_c20250826
_kSTAMIU-0199STAMIU-0199
588 0 _aPrint version record.
590 _aSpringer Nature
_bSpringer Nature - Springer English International eBooks 2020 - Full Set.
650 0 _aHIV infections
_xStatistical methods.
650 7 _aHIV/AIDS.
_2homoit.
650 7 _aSTDs.
_2homoit.
655 0 _aElectronic books.
700 0 _aNarasimha Murthy, Bhamidipati.
_0http://id.loc.gov/authorities/names/n2020183403.
776 0 8 _iPrint version:
_aBasavarajaiah, D.M.
_tHIV Transmission : Statistical Modelling.
_dSingapore : Springer, ©2020
_z9789811501500.
856 4 0 _uhttps://buku.app/details/162091
_zAccess Online at BUKU Link
942 _2lcc
_cEBK
_n0
999 _c21448
_d21448