Modeling Human Mortality from All Diseases in the Five Most Populated Countries of the European Union

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013448" target="_blank" >RIV/62690094:18450/17:50013448 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11538-017-0341-y" target="_blank" >https://link.springer.com/article/10.1007/s11538-017-0341-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11538-017-0341-y" target="_blank" >10.1007/s11538-017-0341-y</a>

Result language
angličtina
Original language name
Modeling Human Mortality from All Diseases in the Five Most Populated Countries of the European Union
Original language description
Age affectsmortality from diseases differently than it affects mortality from external causes, such as accidents. Exclusion of the latter leads to the “all-diseases” category. The age trajectories of mortality from all diseases are studied in the five most populated countries of the EU, and the shape of these 156 age trajectories is investigated in detail. The arithmetic mean of ages where mortality reaches a minimal value is 8.47 years with a 95% confidence interval of [8.08, 8.85] years. Two simple deterministic models fit the age trajectories on the two sides of the mortality minimum.ípadů) The inverse relationship is valid in all cases prior to this mortality minimum and death rates exactly decreased to three thousandths of its original size during the first 3000 days. After the mortality minimum, the standard Gompertz model fits the data in 63 cases, and the Gompertz model extended by a small quadratic element fits the remaining 93 cases. This analysis indicates that the exponential increase begins before the age of 15 years and that it is overshadowed by non-biological causes. Therefore, the existence of a mechanism switching that would explain the exponential increase in mortality after the age of 35 years is unlikely.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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