![Institutional Repository [SANDBOX]](images/dias.logo.png "Institutional Repository [SANDBOX]"){kind=logo}
Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/9483334F-7410-4A7A-808D-E52230A86AAD | - |
| Identifier | https://doi.org/10.1007/978-3-030-93005-9_8 | - |
| Identifier | https://link.springer.com/chapter/10.1007/978-3-030-93005-9_8 | - |
| Language | en | - |
| Extent | 45 pages | en |
| Title | Global health and longevity: an analysis of post-World War II data | en |
| Creator | Zafeiris, Konstantinos | en |
| Creator | Skiadas Christos | en |
| Creator | Σκιαδας Χρηστος | el |
| Publisher | Springer | en |
| Content Summary | Healthy life expectancy describes the health status of a population by estimating the number of years a newborn is expected to live in good health. Life expectancy at birth estimates the average longevity of a newborn, given the mortality schedule observed in a period. This paper aims to analyze comparatively the developments of both indicators since the 1950s on a global level. The estimation of healthy life expectancy is based on the stochastic theory, which allows studying this indicator in contemporary populations and historical ones. Results of the analysis indicate the great diversity occurring among human populations not only in the past but also today. However, the variability in the last case has become less prominent compared with the past. | en |
| Type of Item | Κεφάλαιο σε Βιβλίο | el |
| Type of Item | Book Chapter | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2024-11-12 | - |
| Date of Publication | 2022 | - |
| Subject | Mortality | en |
| Subject | Life table | en |
| Subject | Healthy life expectancy | en |
| Subject | Average longevity | en |
| Bibliographic Citation | K. N. Zafeiris and C. Skiadas, “Global health and longevity: an analysis of post-World War II data,” in Quantitative Methods in Demography: Methods and Related Applications in the Covid-19 Era, The Springer Series on Demographic Methods and Population Analysis, Cham, Switzerland: Springer, 2022, pp. 97–141, doi: 10.1007/978-3-030-93005-9_8. | en |
| Book Title | Quantitative Methods in Demography: Methods and Related Applications in the Covid-19 Era | en |
| Book Edition | 1 | - |
| Book Series | The Springer Series on Demographic Methods and Population Analysis | en |
Copyright © DIAS 2013
