Springer HIV Transmission: Statistical Modelling

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 and policymakers involved in implementing HIV-prevention programmes at national /global level.  From the Back Cover 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 and policymakers involved in implementing HIV-prevention programmes at national /global level.  About the Author 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 Publications and 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 I