Demography and Health Issues

1. Front Matter

   Pages i-ix

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2. Demography and Related Applications: Health Status and the Lifespan Limit

   1. Front Matter

      Pages 1-1

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   2. The Health Status of a Population Estimated: The History of Health State Curves

      • Christos H. Skiadas, Charilaos Skiadas

      Pages 3-13

   3. Remarks on “Limits to Human Lifespan”

      • Christos H. Skiadas

      Pages 15-30

   4. Exploring the Health Status of a Population: A Simple Health State Model vs the Gompertz Model

      • Christos H. Skiadas

      Pages 31-39

   5. Estimation of the Healthy Life Expectancy in Italy Through a Simple Model Based on Mortality Rate

      • Christos H. Skiadas, Maria Felice Arezzo

      Pages 41-47

3. Mortality Modeling and Applications

   1. Front Matter

      Pages 49-49

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   2. Using Child, Adult, and Old-Age Mortality to Establish a Developing Countries Mortality Database (DCMD)

      • Nan Li, Hong Mi, Patrick Gerland

      Pages 51-62

   3. A Method for the Evaluation of Health Trends in Greece, 1961–2013

      • Konstantinos N. Zafeiris, Christos H. Skiadas

      Pages 63-70

   4. A Method for the Forecasting of Mortality

      • Konstantinos N. Zafeiris

      Pages 71-82

   5. Prospective Scenarios on Coverage of Deaths in Brazil

      • Neir Antunes Paes, Alisson dos Santos Silva

      Pages 83-94

4. Statistical Models and Methods in Biostatistics and Epidemiology

   1. Front Matter

      Pages 95-95

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   2. Applications of the Cumulative Rate to Kidney Cancer Statistics in Australia

      • Janelle Brennan, K. C. Chan, Rebecca Kippen, C. T. Lenard, T. M. Mills, Ruth F. G. Williams

      Pages 97-106

   3. To Reliability of Mortality Shifts in Working Population in Russia

      • Alla Ivanova, Tamara Sabgayda, Viktoria Semyonova, Elena Zemlyanova

      Pages 107-119

   4. Three-Way Data Analysis Applied to Cause Specific Mortality Trends

      • Giuseppe Giordano, Steven Haberman, Maria Russolillo

      Pages 121-130

5. Stochastic and Neuro-Fuzzy Methods

   1. Front Matter

      Pages 131-131

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   2. Measuring Latent Variables in Space and/or Time: A Gender Statistics Exercise

      • Gaia Bertarelli, Franca Crippa, Fulvia Mecatti

      Pages 133-142

   3. Stochastic Distance Between Burkitt Lymphoma/Leukemia Strains

      • Jesús E. García, R. Gholizadeh, V. A. González López

      Pages 143-153

   4. Monte Carlo Methods Applied in Health Research

      • J. A. Pereira, L. Mendes, A. Costa, T. A. Oliveira

      Pages 155-167

   5. A Neuro-Fuzzy Approach to Measuring Attitudes

      • Maria Symeonaki, Aggeliki Kazani, Catherine Michalopoulou

      Pages 169-181

This book provides new theories, applications and quantitative methods in demography, population studies and statistics. It presents and applies data analysis, statistics and stochastic modeling techniques focusing on demography, population aging, mortality and health sciences.  The book describes diverse stochastic processes as well as Markov and semi-Markov models in demography and population studies, along with chapters on statistical models and methods in biostatistics and epidemiology.  As such the book will be a valuable source to demographers, health scientists, statisticians, economists and sociologists.

• Population aging
• Methods in biostatistics and epidemiology
• Stochastic processes and Markov models
• Dynamical health modeling
• Demograpic statistics
• Aging and longevity
• Health Sciences
• Statistics and Data Analysis in Demography
• Stochastic modeling in Demography

• ManLab, Technical University of Crete, Chania, Crete, Greece

  Christos H. Skiadas

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

  Charilaos Skiadas

Christos H. Skiadas, PhD, was the founder and director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete. 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 18 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. 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.

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