2012
DOI: 10.1371/journal.pone.0031197
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Comparing Pandemic to Seasonal Influenza Mortality: Moderate Impact Overall but High Mortality in Young Children

Abstract: BackgroundWe assessed the severity of the 2009 influenza pandemic by comparing pandemic mortality to seasonal influenza mortality. However, reported pandemic deaths were laboratory-confirmed – and thus an underestimation – whereas seasonal influenza mortality is often more inclusively estimated. For a valid comparison, our study used the same statistical methodology and data types to estimate pandemic and seasonal influenza mortality.Methods and FindingsWe used data on all-cause mortality (1999–2010, 100% cove… Show more

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Cited by 60 publications
(33 citation statements)
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“…Consistent with studies conducted in other countries, our study found that, compared with seasonal epidemics, there was an “age shift” in age‐specific mortality burden toward persons <65 years of age during the influenza A(H1N1)pdm09 pandemic period 4, 20, 29, 33, 34, 35, 36. A previous meta‐analysis from 27 studies showed that the influenza A(H1N1)pdm09 cumulative incidence varied significantly by age with much higher incidence in younger people 37.…”
Section: Discussionsupporting
confidence: 89%
“…Consistent with studies conducted in other countries, our study found that, compared with seasonal epidemics, there was an “age shift” in age‐specific mortality burden toward persons <65 years of age during the influenza A(H1N1)pdm09 pandemic period 4, 20, 29, 33, 34, 35, 36. A previous meta‐analysis from 27 studies showed that the influenza A(H1N1)pdm09 cumulative incidence varied significantly by age with much higher incidence in younger people 37.…”
Section: Discussionsupporting
confidence: 89%
“…The overall estimate of excess mortality for all ages was higher in the second wave in 2010–2011 than the first wave in 2009–2010 (Table 1), despite the prolonged duration of the first wave that lasted for 40 weeks in total (Appendix Figure 1). The low impact of pH1N1 was also reported in other studies, 10,13,14,18,19 and could be attributed in part to wide-scale use of antivirals 38 and monovalent pH1N1 vaccines (14.3 million people or 84% of the vaccinated “priority groups”) 39 during the first wave, when it should be noted that deaths in young adults during the pandemic still represented a substantial impact even without the high number of excess deaths in the elderly seen in other years. For example, Viboud and colleagues 40 estimated the total years of life lost attributable to influenza during the 2009 pandemic in the U.S. to be comparable to that from the 1957 and 1968 pandemics, despite a relatively smaller number of excess deaths.…”
Section: Discussionsupporting
confidence: 84%
“…612 The direct approach tends to underestimate the total impact of influenza on mortality because it neglects deaths caused by influenza but not diagnosed or laboratory confirmed, 13,14 as well as deaths from exacerbation of pre-existing chronic diseases triggered by influenza virus infection and therefore not coded as having been caused by “influenza.” 15 Statistical models can provide more complete assessment of the impact of influenza on mortality by estimating the number of deaths that would have occurred if influenza had not circulated, accounting for seasonality and other relevant factors. 11,13,14,1621 This measurement of influenza mortality burden from these statistical models is generally referred to as the “excess mortality” estimate.…”
Section: Introductionmentioning
confidence: 99%
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“…Our estimates of pandemic mortality in the United States are higher than those reported by similar methods for Australia (−6·0/100 000), France (1·0/100 000), Hong‐Kong (1·6/100 000), the United Kingdom (2·7/100 000), and the Netherlands (3·7/100 000) but lower than those for Mexico (11/100 000) 15, 16, 17, 18, 19, 20. Some of these differences could reflect estimation errors due to use of non‐specific outcomes16 or true variation in disease burden, as suggested by the unusual clinical severity of the disease reported in Mexico during the pandemic 18, 21.…”
Section: Discussionmentioning
confidence: 63%