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Why does child mortality decrease with age? Modeling the age-associated decrease in mortality rate using WHO metadata from 25 countries.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018296" target="_blank" >RIV/62690094:18450/21:50018296 - isvavai.cz</a>

  • Alternative codes found

    RIV/00064190:_____/21:N0000042 RIV/00216208:11120/21:43921948

  • Result on the web

    <a href="https://www.frontiersin.org/articles/10.3389/fped.2021.657298/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fped.2021.657298/full</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fped.2021.657298" target="_blank" >10.3389/fped.2021.657298</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Why does child mortality decrease with age? Modeling the age-associated decrease in mortality rate using WHO metadata from 25 countries.

  • Original language description

    Background: Our previous study analyzed the age trajectory of mortality (ATM) in 14 European countries, while this study aimed at investigating ATM in other continents and in countries with a higher level of mortality. Data from 11 Non-European countries were used. Methods: The number of deaths was extracted from the WHO mortality database. The Halley method was used to calculate the mortality rates in all possible calendar years and all countries combined. This method enables us to combine more countries and more calendar years in one hypothetical population. Results: The age trajectory of total mortality (ATTM) and also ATM due to specific groups of diseases were very similar in the 11 non-European countries and in the 14 European countries. The level of mortality did not affect the main results found in European countries. The inverse proportion was valid for ATTM in non-European countries with two exceptions. Slower or no mortality decrease with age was detected in the first year of life, while the inverse proportion model was valid for the age range (1, 10) years in most of the main chapters of ICD10. Conclusions: The decrease in child mortality with age may be explained as the result of the depletion of individuals with congenital impairment. The majority of deaths up to the age of 10 years were related to congenital impairments, and the decrease in child mortality rate with age was a demonstration of population heterogeneity. The congenital impairments were latent and may cause death even if no congenital impairment was detected.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Frontiers in Pediatrics

  • ISSN

    2296-2360

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    August

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    "Article Number: 657298"

  • UT code for WoS article

    000688430700001

  • EID of the result in the Scopus database

    2-s2.0-85113474967