Age Trajectories of Mortality from All Diseases in the Six Most Populated Countries of the South America During the Last Decades
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F14%3A50002410" target="_blank" >RIV/62690094:18450/14:50002410 - isvavai.cz</a>
Výsledek na webu
<a href="http://link.springer.com/article/10.1007/s11538-014-0005-0" target="_blank" >http://link.springer.com/article/10.1007/s11538-014-0005-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11538-014-0005-0" target="_blank" >10.1007/s11538-014-0005-0</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Age Trajectories of Mortality from All Diseases in the Six Most Populated Countries of the South America During the Last Decades
Popis výsledku v původním jazyce
Age trajectories of total mortality represent an irreplaceable source of information about aging. In principle, age affects mortality from all diseases differently than it affects mortality from external causes. External causes (accidents) are excluded here from all causes, and the resultant category ?all-diseases? is tested as a helpful tool to better understand the relationship between mortality and age. Age trajectories of all diseases mortality are studied in the six most populated countries of theSouth America during 1996-2010. The numbers of deaths for specific causes of death are extracted from the database of WHO, where the ICD-10 revision is used. The all-diseases mortality shows a strong minimum, which is hidden in total mortality. Two simple deterministic models fit the age trajectories of all-diseases mortality. The inverse proportion between mortality and age fits the mortality decreases up to minimum value in all six countries. All previous models describing mortality de
Název v anglickém jazyce
Age Trajectories of Mortality from All Diseases in the Six Most Populated Countries of the South America During the Last Decades
Popis výsledku anglicky
Age trajectories of total mortality represent an irreplaceable source of information about aging. In principle, age affects mortality from all diseases differently than it affects mortality from external causes. External causes (accidents) are excluded here from all causes, and the resultant category ?all-diseases? is tested as a helpful tool to better understand the relationship between mortality and age. Age trajectories of all diseases mortality are studied in the six most populated countries of theSouth America during 1996-2010. The numbers of deaths for specific causes of death are extracted from the database of WHO, where the ICD-10 revision is used. The all-diseases mortality shows a strong minimum, which is hidden in total mortality. Two simple deterministic models fit the age trajectories of all-diseases mortality. The inverse proportion between mortality and age fits the mortality decreases up to minimum value in all six countries. All previous models describing mortality de
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AO - Sociologie, demografie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Bulletin of mathematical biology
ISSN
0092-8240
e-ISSN
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Svazek periodika
76
Číslo periodika v rámci svazku
9
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
30
Strana od-do
2144-2174
Kód UT WoS článku
000341734600003
EID výsledku v databázi Scopus
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