HIV Transmission

Statistical Modelling
1. Auflage 2020
ISBN: 978-981-15-0150-0
Verlag: Springer Nature Singapore

Buch, Englisch, 318 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 699 g

This 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 andpolicymakers involved in implementing HIV-prevention programmes at national /global level.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Narasimha Murthy, Bhamidipati

Basavarajaiah, D. M.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Gynäkologie, Geburtshilfe
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik

Inhaltsverzeichnis

Chapter 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.

Über Autor(innen)

Dr. D. M. Basavarajaiahis an Associate Professor and Head of the Department of Statistics and Computer Science, Karnataka Veterinary Animal and Fisheries Sciences University (B), Hebbal, Bangalore. He holds a  Ph.D from the National Institute of Epidemiology (NIE), ICMR, Chennai, affiliated to the University of Madras. His research focuses on statistical theory, statistical modelling on high dimensional datasets of agriculture, medicine, veterinary and animal sciences. He has written sixty-eight research articles and four academic books, and is serving as an editorial board member and scientific board advisor for various international journals. He is a life member of numerous academic organizations, and has received several accolades for his academic and research excellence, such as the “Chartered Scientist Award from the Science Council, United Kingdom in collaboration with the Royal Statistical Society; Best Reviewer award 2016 from TRANS STELLAR’ Journal Publicationsand Research Consultancy ,TJPRC Ltd., (NAAS rated Journals); Fellow of the Royal Statistical Society, UK, Fellow of the Mathematical Society, UK , Bharathshikshratana and Indo-Dubai Achiever’s Pacific award from the Global Society of Health and Educational Growth, New Delhi; Best Reviewer 2015, Best Scientific Board Advisor 2016 and Best Editorial Board Member award bestowed by the International Academy of Engineering Science and Technology, USA. He is an active member of the Board of Studies and Academic Council of Karnataka Veterinary Animal & Fisheries Sciences University, 

Dr. Bhamidipati Narasimha Murthy is a leading academic and researcher at the ICMR’s National Institute of Epidemiology, in Chennai, He holds a Ph.D from the International Institute of Population Science (IIPS), affiliated to Bombay University (1985). His research focuses on mathematical statistics, operational research, clinical research, public health, demography and vital statistics, as well as mathematical modelling in the context of medical science and public health. He has written more than 100 research articles published in respected national and international journals.  He also serves as an editorial board member, a reviewer and scientific board advisor for various leading international journals. He is a life member of various academic organisations and has received several accolades for his academic and research excellence, including the Prof. R. N. Srivastava gold medal award, Bharat Jyothi Award, and Best Citizen of India. He is a member of the board of studies of a number of national universities (University of Madras, Acharya Nagarjuna University & University of Kerala) and a visiting emeritus Professor of Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, and North Carolina University USA.