Literature DB >> 9209852

A method for timely assessment of influenza-associated mortality in the United States.

L Simonsen1, M J Clarke, D F Stroup, G D Williamson, N H Arden, N J Cox.   

Abstract

Influenza-associated mortality has traditionally been estimated as the excess mortality above a baseline of deaths during influenza epidemic periods. Excess mortality estimates are not timely, because national vital statistics data become available after a period of 2-3 years. To develop a method for timely reporting, we used the 121 Cities Surveillance System (121 Cities), maintained at the Centers for Disease Control and Prevention, as an alternative data source. We fit a cyclical regression model to time series of weekly 121 Cities pneumonia and influenza deaths for 1972-1996 to estimate the excess pneumonia and influenza mortality and to compare these figures with national vital statistics estimates for 20 influenza seasons during 1972-1992. Seasonal excess mortality based on 121 Cities correlated well with the national data: for 18 (90%) of 20 seasons, our influenza epidemic severity index category approximated the result based on national vital statistics. We generated preliminary severity categories for the four recent seasons during 1992-1996. We conclude that the 121 Cities Surveillance System can be used for the timely assessment of the severity of future influenza epidemics and pandemics. Timely pneumonia and influenza mortality reporting systems established in sentinel countries worldwide would help alert public health officials and allow prompt prevention and intervention strategies during future influenza epidemics and pandemics.

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Year:  1997        PMID: 9209852     DOI: 10.1097/00001648-199707000-00007

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  28 in total

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2.  The bioterrorism preparedness and response Early Aberration Reporting System (EARS).

Authors:  Lori Hutwagner; William Thompson; G Matthew Seeman; Tracee Treadwell
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3.  The persistent legacy of the 1918 influenza virus.

Authors:  David M Morens; Jeffery K Taubenberger; Anthony S Fauci
Journal:  N Engl J Med       Date:  2009-06-29       Impact factor: 91.245

4.  Influenza-related excess mortality, Austria 2001 till 2009.

Authors:  Hung-Wei Kuo; Daniela Schmid; Yu-Lun Liu; Peter Lachner; Franz Allerberger
Journal:  Wien Klin Wochenschr       Date:  2011-08-23       Impact factor: 1.704

5.  The impact of influenza epidemics on mortality: introducing a severity index.

Authors:  L Simonsen; M J Clarke; G D Williamson; D F Stroup; N H Arden; L B Schonberger
Journal:  Am J Public Health       Date:  1997-12       Impact factor: 9.308

6.  Seasonal synchronization of influenza in the United States older adult population.

Authors:  Julia B Wenger; Elena N Naumova
Journal:  PLoS One       Date:  2010-04-15       Impact factor: 3.240

7.  The 2009 H1N1 pandemic influenza virus: what next?

Authors:  David M Morens; Jeffery K Taubenberger; Anthony S Fauci
Journal:  MBio       Date:  2010-09-28       Impact factor: 7.867

8.  Influenza vaccination and mortality: differentiating vaccine effects from bias.

Authors:  Bruce Fireman; Janelle Lee; Ned Lewis; Oliver Bembom; Mark van der Laan; Roger Baxter
Journal:  Am J Epidemiol       Date:  2009-07-22       Impact factor: 4.897

9.  Seasonal Influenza Vaccine Allocation in the Canadian Population during a Pandemic.

Authors:  Ashleigh Tuite; David N Fisman; Jeffrey C Kwong; Amy Greer
Journal:  PLoS Curr       Date:  2009-12-11

10.  Review of an influenza surveillance system, Beijing, People's Republic of China.

Authors:  Peng Yang; Wei Duan; Min Lv; Weixian Shi; Xiaoming Peng; Xiaomei Wang; Yanning Lu; Huijie Liang; Holly Seale; Xinghuo Pang; Quanyi Wang
Journal:  Emerg Infect Dis       Date:  2009-10       Impact factor: 6.883

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