Quantitative Demography and Health Estimates

Part I: Healthy Life Expectancy Estimates.- Chapter 1. The Direct Healthy Life Expectancy Estimates from Life Tables to Support HALE Measures done by the World Health Organization. A New Tool for a Standard Measure.- Chapter 2. Expanding the Life Tables for Companion Dogs in UK and Japan to include the Healthy Life Expectancy.- Chapter 3. Direct Healthy Life Expectancy Estimates from Life Tables with a Sullivan Extension: The case of Brazil 2003.- Chapter 4. Assessment of the CASP-12 scale among people aged 50+ in Europe: An analysis using SHARE data.- Chapter 5. Possibilities of creating new health indicators.- Chapter 6. Expanding the Life Tables to Include the Healthy Life Expectancy.- Part II: Health - Covid-19.- Chapter 7. Reaction to COVID-19 Pandemic: An Evaluation of Pandemic Management Around the World.- Chapter 8. A Stochastic Characterization of Omicron Variant of SARS-COV 2 Virus.- Chapter 9. Factors associated with direct and indirect aspects of loneliness among Europeansaged 50 or higher.- Chapter 10. Neuropsychological Normed Measures for the Tinker Toy Test (TTT). Exploring Latent Structures.- Chapter 11. A Tool for Measuring Alcohol Policy Scoring in Czechia and EU: The Innovative Alcohol Policy Indicator.- Part III: Mortality.- Chapter 12. Epidemic models with several levels of immunity.- Chapter 13. Preventable deaths and maternal and newborn factors in a region of Brazil: panel data modeling.- Chapter 14. Comparing the mortality regimes in the once called "western world.".- Chapter 15. Kane Tanaka's 119 birthday and the Supercentenarians' age estimation. Further remarks on the oldest old record of 122 years by Jeanne Calment.- Chapter 16. Recent changes in Human mortality: The case study of Greece.- Part IV: Data Analysis.- Chapter 17. Exploring cross-national comparability of unidimensional constructs.- Chapter 18. Measuring transition smoothness into European labour market(s).- Chapter 19. Could the idea of equitable normal pension age

Christos H. Skiadas, PhD, was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete, Greece, and former Vice-Rector of the University. He is chair of the Demographics Workshop series, the Applied Stochastic Models and Data Analysis Conference series and the Chaotic Modeling and Simulation Conference series. He has published more than 80 papers, three monographs, and 24 books, including probability, statistics, data analysis and forecasting. His research interests include innovation diffusion modeling and forecasting, life table data modeling, healthy life expectancy estimates, and deterministic, stochastic, and chaotic modeling.
Charilaos Skiadas, PhD, is an associate professor in mathematics and computer science at Hanover College, Indiana, USA. His research interests encompass a wide array of mathematical and computing topics, ranging from algebraic geometry to statistics and programming languages to data science and health state modeling.