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Estimates of global seasonal influenza-associated respiratory mortality: a modelling study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F18%3A00012174" target="_blank" >RIV/75010330:_____/18:00012174 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0140673617332932?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0140673617332932?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/S0140-6736(17)33293-2" target="_blank" >10.1016/S0140-6736(17)33293-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimates of global seasonal influenza-associated respiratory mortality: a modelling study

  • Original language description

    Background Estimates of influenza-associated mortality are important for national and international decision making on public health priorities. Previous estimates of 250 000-500 000 annual influenza deaths are outdated. We updated the estimated number of global annual influenza-associated respiratory deaths using country-specific influenza-associated excess respiratory mortality estimates from 1999-2015. Methods We estimated country-specific influenza-associated respiratory excess mortality rates (EMR) for 33 countries using time series log-linear regression models with vital death records and influenza surveillance data. To extrapolate estimates to countries without data, we divided countries into three analytic divisions for three age groups (< 65 years, 65-74 years, and >= 75 years) using WHO Global Health Estimate (GHE) respiratory infection mortality rates. We calculated mortality rate ratios (MRR) to account for differences in risk of influenza death across countries by comparing GHE respiratory infection mortality rates from countries without EMR estimates with those with estimates. To calculate death estimates for individual countries within each age-specific analytic division, we multiplied randomly selected mean annual EMRs by the country's MRR and population. Global 95% credible interval (CrI) estimates were obtained from the posterior distribution of the sum of country-specific estimates to represent the range of possible influenza-associated deaths in a season or year. We calculated influenza-associated deaths for children younger than 5 years for 92 countries with high rates of mortality due to respiratory infection using the same methods. Findings EMR-contributing countries represented 57% of the global population. The estimated mean annual influenza-associated respiratory EMR ranged from 0.1 to 6.4 per 100 000 individuals for people younger than 65 years, 2.9 to 44.0 per 100 000 individuals for people aged between 65 and 74 years, and 17 .9 to 223.5 per 100 000 for people older than 75 years. We estimated that 291 243-645 832 seasonal influenza-associated respiratory deaths (4.0-8.8 per 100 000 individuals) occur annually. The highest mortality rates were estimated in sub-Saharan Africa (2.8-16.5 per 100 000 individuals), southeast Asia (3.5-9.2 per 100 000 individuals), and among people aged 75 years or older (51. 3-99.4 per 100 000 individuals). For 92 countries, we estimated that among children younger than 5 years, 9243-105 690 influenza-associated respiratory deaths occur annually. Interpretation These global influenza-associated respiratory mortality estimates are higher than previously reported, suggesting that previous estimates might have underestimated disease burden. The contribution of non-respiratory causes of death to global influenza-associated mortality should be investigated.

  • 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

    30303 - Infectious Diseases

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Lancet

  • ISSN

    0140-6736

  • e-ISSN

    1474-547X

  • Volume of the periodical

    391

  • Issue of the periodical within the volume

    10127

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    1285-1300

  • UT code for WoS article

    000428791600027

  • EID of the result in the Scopus database

    2-s2.0-85039048596