Single Parameter of Inverse Proportion between Mortality and Age Could Determine All Mortality Indicators in the First Year of Life
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50004624" target="_blank" >RIV/62690094:18450/16:50004624 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.sciencedirect.com/science/article/pii/S002251931600148X" target="_blank" >http://www.sciencedirect.com/science/article/pii/S002251931600148X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jtbi.2016.03.007" target="_blank" >10.1016/j.jtbi.2016.03.007</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Single Parameter of Inverse Proportion between Mortality and Age Could Determine All Mortality Indicators in the First Year of Life
Popis výsledku v původním jazyce
Mortality increase with age in adult population has been studied and modelled by many authors, but relatively little attention has been given to mortality decrease with age after birth. Data split in more detailed age categories can newly test mortality decrease with age. Age trajectories of mortality are studied in twenty age categories in the specific age interval 1 - 365 days. Four basic models mentioned in literature are tested here. The linear model and the linear model with the specific slope -1 in the log-log scale represent the most successful formalism. Mortality indicators describing the first year could be determined by a single parameter of the model with slope -1 in the log-log scale. All conclusions are based on published data which are presented as a supplement.
Název v anglickém jazyce
Single Parameter of Inverse Proportion between Mortality and Age Could Determine All Mortality Indicators in the First Year of Life
Popis výsledku anglicky
Mortality increase with age in adult population has been studied and modelled by many authors, but relatively little attention has been given to mortality decrease with age after birth. Data split in more detailed age categories can newly test mortality decrease with age. Age trajectories of mortality are studied in twenty age categories in the specific age interval 1 - 365 days. Four basic models mentioned in literature are tested here. The linear model and the linear model with the specific slope -1 in the log-log scale represent the most successful formalism. Mortality indicators describing the first year could be determined by a single parameter of the model with slope -1 in the log-log scale. All conclusions are based on published data which are presented as a supplement.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
—
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of theoretical biology
ISSN
0022-5193
e-ISSN
—
Svazek periodika
2016
Číslo periodika v rámci svazku
397
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
6
Strana od-do
193-198
Kód UT WoS článku
000375168300019
EID výsledku v databázi Scopus
2-s2.0-84961839426