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Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/50BC8B5B-B1B2-414D-A92D-8E7527F2B3AF | - |
| Identifier | https://doi.org/10.1007/978-3-030-93005-9_7 | - |
| Identifier | https://link.springer.com/chapter/10.1007/978-3-030-93005-9_7 | - |
| Language | en | - |
| Extent | 5 pages | en |
| Title | How to estimate of the Healthy Life Expectancy (HLE) in the far past: Switzerland (1876–2016) and forecasts to 2060 with comparisons with HALE | en |
| Creator | Skiadas Christos | en |
| Creator | Σκιαδας Χρηστος | el |
| Creator | Skiadas, Charilaos | en |
| Creator | Zafeiris, Konstantinos | en |
| Publisher | Springer | en |
| Content Summary | The estimation of Healthy life expectancy (HLE) is an old venture, an effort of numerous researchers worldwide during the last decades to develop a suitable, effective and precise relevant methodology. The World Health Organization (WHO) has already developed an efficient but highly complicated procedure based on the “Global Burden of Disease Study”, details of each are seen on the relevant website (https://www.who.int/-data/gho/-data/themes-/mortality-and-global-health-estimates/ghe-life-expectancy-and-healthy-life-expectancy). In any case, the direct knowledge of a population’s HLE is necessary not only for researchers of mortality and longevity but also as an essential tool for policymakers and the public administration. Currently, knowledge of past trends and levels of healthy life expectancy is absent, despite the availability of mortality data. This is because of data absence on disability and disease, which are required in these approaches. This paper presents an innovative method, allowing the direct estimation of Healthy Years Lost (HLYL) because of diseases and disabilities, and thus the healthy life expectancy from lifetable data. This method has been tested and verified via a series of additional methods (like a Weibull parameter test, a Gompertz parameter alternative). Additionally, the HLE estimations follow those of WHO closely. | 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 | 2024-11-14 | - |
| Date of Publication | 2022 | - |
| Subject | Life expectancy | en |
| Subject | Healthy life expectancy | en |
| Subject | HALE | en |
| Subject | Logistic model | en |
| Subject | Forecasts | en |
| Subject | Life tables | en |
| Bibliographic Citation | C. H. Skiadas, C. Skiadas and K. N. Zafeiris, “How to estimate of the Healthy Life Expectancy (HLE) in the far past: Switzerland (1876–2016) and forecasts to 2060 with comparisons with HALE,” 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. 91–95, doi: 10.1007/978-3-030-93005-9_7. | 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 |
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