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Estimating influenza-associated deaths in the United States

Author

Listed:
  • Thompson, W.W.
  • Moore, M.R.
  • Weintraub, E.
  • Cheng, P.-Y.
  • Jin, X.
  • Bridges, C.B.
  • Bresee, J.S.
  • Shay, D.K.

Abstract

Most estimates of US deaths associated with influenza circulation have been similar despite the use of different approaches. However, a recently published estimate suggested that previous estimates substantially overestimated deaths associated with influenza, and concluded that substantial numbers of deaths during a future pandemic could be prevented because of improvements in medical care. We reviewed the data sources and methods used to estimate influenza-associated deaths. We suggest that discrepancies betweenthe recent estimate and previous estimates of the number of influenza-associated deaths are attributable primarily to the use of different outcomes and methods. We also believe that secondary bacterial infections will likely result in substantial morbidity and mortality during a future influenza pandemic, despite medical progress.

Suggested Citation

  • Thompson, W.W. & Moore, M.R. & Weintraub, E. & Cheng, P.-Y. & Jin, X. & Bridges, C.B. & Bresee, J.S. & Shay, D.K., 2009. "Estimating influenza-associated deaths in the United States," American Journal of Public Health, American Public Health Association, vol. 99(S2), pages 225-230.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2008.151944_9
    DOI: 10.2105/AJPH.2008.151944
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    Cited by:

    1. Rodney P. Jones & Andriy Ponomarenko, 2022. "Trends in Excess Winter Mortality (EWM) from 1900/01 to 2019/20—Evidence for a Complex System of Multiple Long-Term Trends," IJERPH, MDPI, vol. 19(6), pages 1-24, March.
    2. Xi-Ling Wang & Lin Yang & King-Pan Chan & Susan S Chiu & Kwok-Hung Chan & J S Malik Peiris & Chit-Ming Wong, 2012. "Model Selection in Time Series Studies of Influenza-Associated Mortality," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-7, June.

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