2017
DOI: 10.1111/irv.12515
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Mortality burden from seasonal influenza and 2009 H1N1 pandemic influenza in Beijing, China, 2007‐2013

Abstract: BackgroundData about influenza mortality burden in northern China are limited. This study estimated mortality burden in Beijing associated with seasonal influenza from 2007 to 2013 and the 2009 H1N1 pandemic.MethodsWe estimated influenza‐associated excess mortality by fitting a negative binomial model using weekly mortality data as the outcome of interest with the percent of influenza‐positive samples by type/subtype as predictor variables.ResultsFrom 2007 to 2013, an average of 2375 (CI 1002‐8688) deaths was … Show more

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Cited by 36 publications
(51 citation statements)
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“…During 2009, the numbers and rates of excess hospitalizations and deaths attributed to influenza A(H1N1) were disproportionately high among persons aged <65 years, particularly among infants. The left shift in the age distribution of morbidity and mortality due to pandemic influenza A(H1N1) is thought to result from the presence of pre‐existing immunity among persons in older birth cohorts due to prior exposure to antigenically similar H1N1 viruses . In our study, influenza A(H1N1) continued to be associated with relatively high rates of excess hospitalization and death among the younger age groups when circulating during seasons following the pandemic.…”
Section: Discussionmentioning
confidence: 60%
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“…During 2009, the numbers and rates of excess hospitalizations and deaths attributed to influenza A(H1N1) were disproportionately high among persons aged <65 years, particularly among infants. The left shift in the age distribution of morbidity and mortality due to pandemic influenza A(H1N1) is thought to result from the presence of pre‐existing immunity among persons in older birth cohorts due to prior exposure to antigenically similar H1N1 viruses . In our study, influenza A(H1N1) continued to be associated with relatively high rates of excess hospitalization and death among the younger age groups when circulating during seasons following the pandemic.…”
Section: Discussionmentioning
confidence: 60%
“…One was the inability to account for respiratory syncytial virus (or other seasonal potential confounders) in our models, which may have led to overestimation in our results for influenza. However, other investigators have considered respiratory syncytial virus to be captured by the seasonal baseline . Another potential limitation was that influenza testing practices changed following the 2009 pandemic, which may have affected our virus surveillance data .…”
Section: Discussionmentioning
confidence: 99%
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