This first volume of two provides quantitative techniques to estimate the healthy life years lost by expanding the classical life tables to include the proportion with disability calculated from life tables, along with a final part using the Sullivan method. The provided templates apply immediately to the life tables from the WHO, HMD, Eurostat and other life table providers. Furthermore, the possibility of creating new health indicators is explored along with Covid-19 pandemic management. A part of this book is devoted to mortality, epidemic models, and comparative studies in Czehia, Greece, and the EU. Data analysis and artificial intelligence methods are included to apply in demographic and Cox regression and gender differences and the gender gap in EU. Mortality is tested with support methodology, while the gender gap is extensively analyzed and tested in several countries. The post covid-19 cases are tested, including mortality and economic implications for cases from China, Greece and Czechia. The stochastic behavior of Epstein-Barr Virus is explored and a case study on heterochronous Maltese SARS-CoV-2 genomic data is presented. Leonhard Euler’s research on the multiplication of the human race with models of population growth is also reviewed. By providing a methodology to cope with health and mortality problems in demography and society in Volume 1 and quantifying important health parameters in Volume 2, the books are a valuable guide for researchers, theoreticians, and practitioners from various disciplines and especially applied demographers, health scientists, statisticians, economists, and sociologists.
Les mer
This first volume of two provides quantitative techniques to estimate the healthy life years lost by expanding the classical life tables to include the proportion with disability calculated from life tables, along with a final part using the Sullivan method.
Les mer
Part I: Health.- Chapter 1. Introduction to Contents I.- Chapter 2. Find the Healthy Life Years Lost (HLYL).- Chapter 3. Updating the proposal for assessing the quality of census count of centenaries.- Chapter 4. Analysis of Health Status in the Czech Republic: 2019-2022 Trends.- Chapter 5. Which socio-demographic indicators influence the health rating? Example of EHIS on Czech data.- Chapter 6. Studying the European Union Summary Innovation Index (SII) and its affecting factors.- Chapter 7. Assessing gender differences in the risk of depression: A Cox regression analysis examining subjective and objective health indicators.- Chapter 8. Saving resources due to the operation of the Centralized Gytostatic Preparation Unit (CCPU) in Greek Hospitals: the case of the CCPU in the Hospital Evangelismos.- Part II: Mortality.- Chapter 9. The Functional Clustering of the Mortality Gender Gap: a multi- country analysis.- Chapter 10. An alternative approach to causes of death prediction using Support Vector Machines.- Chapter 11. Mortality in Greece during a short (?) counter-transition period: 2019-2021.- Chapter 12. Longevity comparison by gender: exploring the future through an evidence-based approach.- Chapter 13. Leonhard Euler’s Research on the Multiplication of the Human Race with Models of Population Growth.- Chapter 14. Regional Mortality and Health Status in Greece (1990-2020).- Part III: Covid-19.- Chapter 15. Mortality in the Regions of Greece during the first two years of the COVID-19 pandemic.- Chapter 16. The impact of the COVID-19 pandemic on the financing and financial management of Public Hospitals in Greece.- Chapter 17. From Zero Clearing to Opening Management: The Estimation of the Infection Cases and Mortality Cases In Post-Covid-19 Pandemic Governance (Nov.2022-Feb.2023).- Chapter 18. The financial ramifications of the pandemic of COVID -19 on primary healthcare sectors of the 7th health region of Crete and the Management for the treatment.- Chapter 19. Primary Health Care during the period of Covid -19 pandemic. The case management and he effect of the pandemic on the cost and the quality of services rendered at Health Care Centers of Fthiotida Prefecture.- Chapter 20. Understanding the Stochastic Behavior of Epstein-Barr Virus.- Chapter 21. Bayesian Birth-Death Skyline Model - A Case Study on Heterochronous Maltese SARS-CoV-2 Genomic Data
Les mer
This first volume of two provides quantitative techniques to estimate the healthy life years lost by expanding the classical life tables to include the proportion with disability calculated from life tables, along with a final part using the Sullivan method. The provided templates apply immediately to the life tables from the WHO, HMD, Eurostat and other life table providers. Furthermore, the possibility of creating new health indicators is explored along with Covid-19 pandemic management. A part of this book is devoted to mortality, epidemic models, and comparative studies in Czehia, Greece, and the EU. Data analysis and artificial intelligence methods are included to apply in demographic and Cox regression and gender differences and the gender gap in EU. Mortality is tested with support methodology, while the gender gap is extensively analyzed and tested in several countries. The post covid-19 cases are tested, including mortality and economic implications for cases from China, Greece and Czechia. The stochastic behavior of Epstein-Barr Virus is explored and a case study on heterochronous Maltese SARS-CoV-2 genomic data is presented. Leonhard Euler’s research on the multiplication of the human race with models of population growth is also reviewed. By providing a methodology to cope with health and mortality problems in demography and society in Volume 1 and quantifying important health parameters in Volume 2, the books are a valuable guide for researchers, theoreticians, and practitioners from various disciplines and especially applied demographers, health scientists, statisticians, economists, and sociologists.
Les mer
Extends the classical life tables to calculate the healthy life years lost Discusses mortality modelling and related issues Explores the spread of epidemics in the Covid-19 era

Produktdetaljer

ISBN
9783031822742
Publisert
2025-03-15
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
268

Biographical note

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