A method for timely assessment of influenza-associated mortality in the United States
- PMID: 9209852
- DOI: 10.1097/00001648-199707000-00007
A method for timely assessment of influenza-associated mortality in the United States
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.
Similar articles
-
The impact of influenza epidemics on mortality: introducing a severity index.Am J Public Health. 1997 Dec;87(12):1944-50. doi: 10.2105/ajph.87.12.1944. Am J Public Health. 1997. PMID: 9431281 Free PMC article.
-
Surveillance for influenza--United States, 1997-98, 1998-99, and 1999-00 seasons.MMWR Surveill Summ. 2002 Oct 25;51(7):1-10. MMWR Surveill Summ. 2002. PMID: 12418623
-
An evaluation of influenza mortality surveillance, 1962-1979. I. Time series forecasts of expected pneumonia and influenza deaths.Am J Epidemiol. 1981 Mar;113(3):215-26. doi: 10.1093/oxfordjournals.aje.a113090. Am J Epidemiol. 1981. PMID: 6258426
-
Epidemiology of seasonal influenza: use of surveillance data and statistical models to estimate the burden of disease.J Infect Dis. 2006 Nov 1;194 Suppl 2:S82-91. doi: 10.1086/507558. J Infect Dis. 2006. PMID: 17163394 Review.
-
[Influenza pandemic deaths in Germany from 1918 to 2009. Estimates based on literature and own calculations].Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016 Apr;59(4):523-36. doi: 10.1007/s00103-016-2324-9. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2016. PMID: 26984565 Review. German.
Cited by
-
Estimates of US influenza-associated deaths made using four different methods.Influenza Other Respir Viruses. 2009 Jan;3(1):37-49. doi: 10.1111/j.1750-2659.2009.00073.x. Influenza Other Respir Viruses. 2009. PMID: 19453440 Free PMC article.
-
Identification of pneumonia and influenza deaths using the Death Certificate Pipeline.BMC Med Inform Decis Mak. 2012 May 8;12:37. doi: 10.1186/1472-6947-12-37. BMC Med Inform Decis Mak. 2012. PMID: 22569097 Free PMC article.
-
Sudden and fulminant deaths of healthy children in Italy during the 2010-11 and 2011-12 seasons: results of an online study.J Public Health Res. 2012 Jul 31;1(2):184-91. doi: 10.4081/jphr.2012.e29. eCollection 2012 Jun 15. J Public Health Res. 2012. PMID: 25170463 Free PMC article.
-
Detecting signals of seasonal influenza severity through age dynamics.BMC Infect Dis. 2015 Dec 29;15:587. doi: 10.1186/s12879-015-1318-9. BMC Infect Dis. 2015. PMID: 26715193 Free PMC article.
-
Real-Time Classification of Causes of Death Using AI: Sensitivity Analysis.JMIR AI. 2023 Nov 22;2:e40965. doi: 10.2196/40965. JMIR AI. 2023. PMID: 38875558 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Medical