Quantitative Demography and Health Estimates | Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and other Applications | ISBN 9783031286995

Quantitative Demography and Health Estimates

Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and other Applications

herausgegeben von Christos H Skiadas und Charilaos Skiadas
Mitwirkende
Herausgegeben vonChristos H Skiadas
Herausgegeben vonCharilaos Skiadas
Buchcover Quantitative Demography and Health Estimates  | EAN 9783031286995 | ISBN 3-031-28699-5 | ISBN 978-3-031-28699-5

Quantitative Demography and Health Estimates

Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and other Applications

herausgegeben von Christos H Skiadas und Charilaos Skiadas
Mitwirkende
Herausgegeben vonChristos H Skiadas
Herausgegeben vonCharilaos Skiadas

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.