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Implications of the SARS-Cov-2 Pandemic for Mortality Forecasting: Case Study for the Czech Republic and Spain

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F21%3A00057209" target="_blank" >RIV/61384399:31140/21:00057209 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2673-4591/5/1/58" target="_blank" >https://www.mdpi.com/2673-4591/5/1/58</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/engproc2021005058" target="_blank" >10.3390/engproc2021005058</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Implications of the SARS-Cov-2 Pandemic for Mortality Forecasting: Case Study for the Czech Republic and Spain

  • Original language description

    Main topics of the document: Lee-Carter model; mortality forecasting; mortality modeling; SARS-Cov-2

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50402 - Demography

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of The 7th International conference on Time Series and Forecasting

  • ISBN

  • ISSN

    2673-4591

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1-10

  • Publisher name

    MDPI

  • Place of publication

    Švýcarsko

  • Event location

    Gran Canaria

  • Event date

    Jul 19, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article