This book provides new theoretic and applied material with focus on quantitative methods and data analysis techniques applied in demography, population studies, health issues and statistics. It discusses the quantitative techniques to estimate the healthy life expectancy by expanding the classical life tables to include the proportion with disability calculated from life tables, along with the Sullivan method. The provided templates apply immediately to the life tables from WHO, HMD, Eurostat and other life table providers. Furthermore, the book explores the possibility of creating new health indicators along with Covid-19 pandemic management, factors associated to loneliness and an alcohol indicator. Part of the book is devoted to mortality, epidemic models, and the supercentenarians age estimation. Data analysis and artificial intelligence methods are included to apply in demographic and socio-economic cases. By providing a methodology to cope with health problems in demography and society by quantifying important health parameters, this book is a valuable guide for researchers, theoreticians, and practitioners from various disciplines and especially health scientists, statisticians, economists, and sociologists.
Christos H Skiadas
Direct Healthy Life Expectancy Estimates from Life Tables HALE Measures done by the World Health Organization Expanding the Life Tables for Companion Dogs in UK and Japan CASP-12 scale among people aged 50+ in Europe Analyzing using SHARE data Creating new health indicators Including Healthy Life Expectancy in Life Tables Reaction to COVID-19 Pandemic Evaluation of pandemic management Stochastic characterization of Omicron Variant of SARS-COV 2 Loneliness among Europeans Neuropsychological normed measures for Tinker Toy Test (TTT) Measuring Alcohol Policy Scoring in the EU Epidemic models with levels of immunity Preventable deaths and maternal and newborn factors