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Quantitative Demography and Health Estimates

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

  • Book
  • © 2023

Overview

  • Explores and applies quantitative methods in demography
  • Extends the classical life tables to calculate the healthy life expectancy
  • Explores mortality modelling and the spread of epidemics

Part of the book series: The Springer Series on Demographic Methods and Population Analysis (PSDE, volume 55)

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Table of contents (25 chapters)

  1. Health – Covid-19

Keywords

About this book

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.

Editors and Affiliations

  • ISAST International, Athens, Greece

    Christos H Skiadas

  • Department of Mathematics and Department of Computer Science, Hanover College, Hanover, USA

    Charilaos Skiadas

About the editors

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.

Bibliographic Information

  • Book Title: Quantitative Demography and Health Estimates

  • Book Subtitle: Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and other Applications

  • Editors: Christos H Skiadas, Charilaos Skiadas

  • Series Title: The Springer Series on Demographic Methods and Population Analysis

  • DOI: https://doi.org/10.1007/978-3-031-28697-1

  • Publisher: Springer Cham

  • eBook Packages: Social Sciences, Social Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-28696-4Published: 17 August 2023

  • Softcover ISBN: 978-3-031-28699-5Due: 17 September 2023

  • eBook ISBN: 978-3-031-28697-1Published: 16 August 2023

  • Series ISSN: 1877-2560

  • Series E-ISSN: 2215-1990

  • Edition Number: 1

  • Number of Pages: VII, 345

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Demography, Statistics, general, Public Health, Public Health, Demography, Demography

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