Premananda Bharati – författare

This book addresses health and healthcare issues in India with a special focus on the Northeast region. Pursuing a multidisciplinary approach, it highlights key issues in health and healthcare and outlines the actions needed to achieve the desired results in these areas as laid out in the UN Millennium Development Goals. In addition to introducing some new questions on health and healthcare development, it presents cross-country analyses, and examines the convergence of healthcare across Indian states, as well as mortality and morbidity in the Northeast. 

The book also explores the regional complexities involved in the discussion of these topics. It presents a number of specific techniques, such as two-level logistic regression, analysis of mental health, probabilistic and predictive analysis of nutritional deficit, and generalized linear mixed models, that can be used to analyze mortality and morbidity and factors affecting out-of-pocket expenses in the healthcare context.Lastly, it presents concrete case studies substantiating the theoretical models discussed. As such, the book offers a valuable resource for health researchers, professionals and policymakers alike.

This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building.

This book addresses the health status of both mothers and children, highlighting acute malnutrition through anthropometric indices such as weight-for-height, weight-for-age, height-for-age, and BMI. Divided into four sections, it provides an overview of public health and nutrition, presents the state-of-the-art situation in South and South-east Asia, and analyzes real-life data on public health and nutrition not only from India and Bangladesh but also from other countries in South and South-east Asia. The book covers insightful analyses of child nutrition, maternal health, and socioeconomic factors, with an emphasis on maternal empowerment, health-seeking behavior, and healthcare accessibility in diverse contexts. The book also addresses topics such as identification of potential genes for prostate cancer, and quality of life and living arrangements of ageing population.

The book is relevant for researchers in the fields of biostatistics, anthropology, demography, health, medicine, and planning, interested in understanding public health and nutrition in South Asia, especially in India and Bangladesh.