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Years of life lost associated with COVID-19 deaths in the United States

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F20%3A10415985" target="_blank" >RIV/00216208:11130/20:10415985 - isvavai.cz</a>

  • Alternative codes found

    RIV/00159816:_____/20:00074096

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=cQjJT-7U05" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=cQjJT-7U05</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/pubmed/fdaa159" target="_blank" >10.1093/pubmed/fdaa159</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Years of life lost associated with COVID-19 deaths in the United States

  • Original language description

    BACKGROUND: The mortality effects of COVID-19 are a critical aspect of the disease&apos;s impact. Years of life lost (YLLs) can provide greater insight than the number of deaths by conveying the shortfall in life expectancy and thus the age profile of the decedents. METHODS: We employed data regarding COVID-19 deaths in the USA by jurisdiction, gender and age group for the period 1 February 2020 through 11 July 2020. We used actuarial life expectancy tables by gender and age to estimate YLLs. RESULTS: We estimated roughly 1.2 million YLLs due to COVID-19 deaths. The YLLs for the top six jurisdictions exceeded those for the remaining 43. On a per-capita basis, female YLLs were generally higher than male YLLs throughout the country. CONCLUSIONS: Our estimates offer new insight into the effects of COVID-19. Our findings of heterogenous rates of YLLs by geography and gender highlight variation in the magnitude of the pandemic&apos;s effects that may inform effective policy responses.

  • 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

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Public Health

  • ISSN

    1741-3842

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    6

  • Pages from-to

    717-722

  • UT code for WoS article

    000606028600036

  • EID of the result in the Scopus database

    2-s2.0-85096888970