Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology. This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors’ hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic.

Current Studies in HIV Research brings key topics in HIV/AIDS research to the fore by compiling reviews prepared by HIV/AIDS experts. Readers will benefit from the extensive range of topics covered in this book. Each of the 24 chapters of this volume present a brief account of major facets of HIV/AIDS research including epidemiology, HIV prevention, basic virology, clinical studies (including co-infection with mycobacteria and hepatitis viruses), antiretroviral therapy, treatment options for specific patient groups (such as pregnant women and elderly patients), patient psychology and public health concerns. The book also presents information about issues encountered in practical situations such as management models for non-governmental organizations (NGOs), community involvement in HIV programs and sampling methods in HIV research. Current Studies in HIV Research is, therefore, a useful guide to research information for novice epidemiologists, clinicians, psychologists, sociologists and managers involved in planning and implementing HIV/AIDS research, prevention and monitoring projects.

With the advent of new technologies in big data science, the study of medical problems has made significant progress. Connecting medical studies and computational methods is crucial for the advancement of the medical industry. Big Data Analytics in HIV/AIDS Research provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making. This book is a vital resource for medical practitioners, nurses, scientists, researchers, and students seeking current research on the connections between data analytics in the field of medicine.

How successful are HIV prevention programs? Which HIV prevention programs are most cost effective? Which programs are worth expanding and which should be abandoned altogether? This book addresses the quantitative evaluation of HIV prevention programs, assessing for the first time several different quantitative methods of evaluation. The authors of the book include behavioral scientists, biologists, economists, epidemiologists, health service researchers, operations researchers, policy makers, and statisticians. They present a wide variety of perspectives on the subject, including an overview of HIV prevention programs in developing countries, economic analyses that address questions of cost effectiveness and resource allocation, case studies such as Israel’s ban on Ethiopian blood donors, and descriptions of new methodologies and problems.

A comprehensive compilation of research techniques necessary for investigating the virology, immunology and molecular biology of HIV-1. Protocols are also provided which represent state of the art approaches to a wide spectrum of HIV related issues.

NPIN 14606: This paper provides an overview of qualitative research and argues that combining qualitative research and quantitative techniques in HIV/AIDS education programs will enhance understanding of how to promote AIDS prevention. It defines qualitative research, describes in-depth interviews and observation studies, and presents case studies. The paper discusses concept exploration and pre-testing and other applications of qualitative research. It acknowledges the limitations of qualitative research; and discusses measuring rigor and quality of qualitative research. It summarizes the role of qualitative research in AIDS prevention with a consideration of mixing qualitative and quantitative research.