Academic Journal

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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Modeling Human Mortality from All Diseases in the Five Most Populated Countries of the European Union.
Συγγραφείς: Dolejs, Josef1 djosef@post.cz
Πηγή: Bulletin of Mathematical Biology. Nov2017, Vol. 79 Issue 11, p2558-2598. 41p.
Θεματικοί όροι: *Mortality -- Mathematical models, *Accidents, *Aging, *Confidence intervals
Εταιρία/Οντότητα: European Union
Περίληψη: Age affects mortality 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. 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. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
FullText Links:
  – Type: other
Text:
  Availability: 0
CustomLinks:
  – Url: https://www.doi.org/10.1007/s11538-017-0341-y?
    Name: ScienceDirect (all content) (s7799221)
    Category: fullText
    Text: View record from ScienceDirect
    MouseOverText: View record from ScienceDirect
  – Url: https://dx.doi.org/doi:10.1007/s11538-017-0341-y
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
Header DbId: asx
DbLabel: Academic Search Index
An: 125928401
RelevancyScore: 1231
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1231.36608886719
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Modeling Human Mortality from All Diseases in the Five Most Populated Countries of the European Union.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dolejs%2C+Josef%22">Dolejs, Josef</searchLink><relatesTo>1</relatesTo><i> djosef@post.cz</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Bulletin+of+Mathematical+Biology%22">Bulletin of Mathematical Biology</searchLink>. Nov2017, Vol. 79 Issue 11, p2558-2598. 41p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Mortality+--+Mathematical+models%22">Mortality -- Mathematical models</searchLink><br />*<searchLink fieldCode="DE" term="%22Accidents%22">Accidents</searchLink><br />*<searchLink fieldCode="DE" term="%22Aging%22">Aging</searchLink><br />*<searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink>
– Name: SubjectCompany
  Label: Company/Entity
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22European+Union%22">European Union</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Age affects mortality 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. 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. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asx&AN=125928401
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11538-017-0341-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 41
        StartPage: 2558
    Subjects:
      – SubjectFull: European Union
        Type: general
      – SubjectFull: Mortality -- Mathematical models
        Type: general
      – SubjectFull: Accidents
        Type: general
      – SubjectFull: Aging
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
    Titles:
      – TitleFull: Modeling Human Mortality from All Diseases in the Five Most Populated Countries of the European Union.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dolejs, Josef
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2017
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-print
              Value: 00928240
          Numbering:
            – Type: volume
              Value: 79
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Bulletin of Mathematical Biology
              Type: main
ResultId 1