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020 9789812561398
020 9812561390
020 981256926X|q(electronic book)
020 9789812569264|q(electronic book)
020 1281880973
020 9781281880970
020 |z9812561390
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050 4 R853.M3|bD48 2005eb
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090 R853.M3|bD48 2005eb
245 00 Deterministic and stochastic models of AIDS epidemics and
HIV infections with intervention /|c[edited by] Wai-Yuan
Tan, Hulin Wu.
264 1 Singapore :|bWorld Scientific,|c2005.
300 1 online resource (viii, 601 pages)
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|2rdaft
504 Includes bibliographical references and index.
505 0 Cover -- Contents -- Chapter 1 Mathematical Models for HIV
Transmission Among Injecting Drug Users Vincenzo Capasso
and Daniela Morale -- 1. Introduction -- 2. One Population
Model -- 2.1. Force of infection and social rules -- 2.2.
Qualitative analysis -- 3. Multipopulation Models -- 3.1.
The force of infection -- 3.2. Interaction among different
populations -- 3.3. Qualitative analysis -- 3.4. About the
uniqueness of the positive endemic equilibrium -- 4. The
Multistage Model -- 5. Multipopulation models with
multiple stages of infection -- References -- Chapter 2
Estimation of HIV Infection and Seroconversion
Probabilities in IDU and Non-IDU Populations by State
Space Models Wai-Yuan Tan, Li-Jun Zhang and Lih-Yuan Deng
-- 1. Introduction -- 2. A Stochastic Model for HIV
Infection and HIV Seroconversion -- 2.1. Stochastic
equations for the state variables -- 2.2. The expected
numbers of the state variables -- 2.3. The probability
distribution of the state variables -- 3. Statistical
Models and Data for HIV Seroconversion -- 3.1. The time to
event models for HIV seroconversion -- 3.2. The data and a
statistic model for seroconversion -- 3.3. Statistical
inferences on HIV seroconversion -- 3.4. The Bayesian
approach for estimating seroconversion -- 3.5. A
likelihood ratio test for comparing several HIV
seroconversion distributions -- 3.6. Estimation of HIV
infection -- 4. A State Space Model for HIV Seroconversion
-- 4.1. The stochastic system model and the probability
distribution of state variables -- 4.2. The observation
model and the probability distribution of the number of
the observed seroconvertors -- 4.3. The contribution to
the observed number of seroconverters by the data -- 4.4.
The conditional posterior distribution -- 5. Simultaneous
Estimation of Unknown Parameters and State Variables -- 6.
An Illustrative Example -- 7. Conclusions and Discussion -
- Acknowledgements -- References -- Chapter 3 A Bayesian
Monte Carlo Integration Strategy for Connecting Stochastic
Models of HIV / AIDS with Data Charles J. Mode -- 1.
Introduction -- 2. Basic Bayesian Concepts -- 3. A Monte
Carlo Integration Strategy -- 4. On the Conditional
Likelihood Function of the Data Given a Point in the
Parameter Space and a Realization of the Process -- 5. A
Weighted Boot Strap Method for Resampling the Posterior
Distribution -- 6. Resampling the Posterior Distribution
Based on the Largest Probabilities -- 7. A Criterion for
Selecting Sample Size -- 8. Strategies for Confronting
Issues of Computer Performance -- 9. On Choosing Prior
Distributions of the Parameters -- References -- Chapter 4
A Class of Methods for HIV Contact Tracing in Cuba:
Implications for Intervention and Treatment Ying-Hen Hsieh,
Hector de Arazoza, Rachid Lounes and Jose Joanes -- 1.
Introduction -- 2. The Models -- 2.1. The k2X model --
2.2. The k2Y model -- 2.3. The k2XY model -- 2.4. The k2XY
/(X + Y) model -- 3. Fitting the Models to Cuban Data --
4. Discussion and Concluding Remarks -- Acknowledgments --
References -- Chapter 5 Simultaneous Inferences of HIV
Vaccine Effects on Viral Load, CD4 Cell Counts, and
Antiretroviral Therapy Initiation in Phase 3 Trials Peter
B. Gilbert and Yanqing Sun -- 1. Introduction -- 2.
Simultaneous Inferences for V E(, Xvl) and V E(, Xcd4) --
2.1. Notation and vaccine efficacy parameters of interest
-- 2.2. Point and simultaneous confidence interval
estimates for vaccine efficacy -- 2.3. Hypoth.
520 With contributions from an international team of leading
researchers, the book pulls together updated research
results in the area of HIV/AIDS modeling to provide
readers with the latest information in the field. Topics
covered include: AIDS epidemic models; vaccine models;
models for HIV/cell dynamics and interactions; cellular
kinetics; viral dynamics with antiviral treatments;
modeling of drug resistance and quasispecies.
588 0 Print version record.
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Medicine|xMathematical models.|0https://id.loc.gov/
authorities/subjects/sh85083085
650 0 Biomathematics.|0https://id.loc.gov/authorities/subjects/
sh85014235
650 2 Acquired Immunodeficiency Syndrome.|0https://
id.nlm.nih.gov/mesh/D000163
650 2 HIV Infections.|0https://id.nlm.nih.gov/mesh/D015658
650 2 Models, Theoretical.|0https://id.nlm.nih.gov/mesh/D008962
650 2 Stochastic Processes.|0https://id.nlm.nih.gov/mesh/D013269
650 7 Medicine|xMathematical models.|2fast|0https://
id.worldcat.org/fast/1014997
650 7 Biomathematics.|2fast|0https://id.worldcat.org/fast/832555
655 4 Electronic books.
776 08 |iPrint version:|aTan, W.Y., 1934-|tDeterministic and
stochastic models of AIDS epidemics and HIV infections
with intervention.|dSingapore ; Hackensack, NJ : World
Scientific, ©2005|z9812561390|w(OCoLC)62084055
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=161344|zOnline eBook. Access restricted to
current Rider University students, faculty, and staff.
856 42 |3Instructions for reading/downloading this eBook|uhttp://
guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20161017|cEBSCO|tebscoebooksacademic updated AugtoOct17
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