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Int J Infect Dis . Age- and Sex-Specific Excess Mortality Associated with Influenza in Shanghai, China, 2010-2015

tetano

Editor, Senior Moderator
Int J Infect Dis


. 2020 Jul 11;S1201-9712(20)30555-5.
doi: 10.1016/j.ijid.2020.07.012. Online ahead of print.
Age- and Sex-Specific Excess Mortality Associated with Influenza in Shanghai, China, 2010-2015


Shan Jin[SUP] 1 [/SUP], Jing Li[SUP] 2 [/SUP], Renzhi Cai[SUP] 1 [/SUP], Xiling Wang[SUP] 2 [/SUP], Zhen Gu[SUP] 1 [/SUP], Huiting Yu[SUP] 1 [/SUP], Bo Fang[SUP] 1 [/SUP], Lei Chen[SUP] 1 [/SUP], Chunfang Wang[SUP] 3 [/SUP]



Affiliations

Abstract

Objective: Few studies have explored the different lineages of influenza B viruses which cause excess death. This study was aimed to estimate age- and sex-specific excess mortality associated with influenza subtypes/lineages in Shanghai, during 2010-2015.
Methods: We used quasi-Poisson regression models to fit weekly numbers of deaths from various causes by adjusting long-term trend, seasonal trend, and absolute humidity as confounding factors. The mortality burden associated with influenza subtypes/lineages was estimated by age and sex.
Results: The average influenza-associated excess mortality rate in deaths coded as all-cause was 27.66(95%CI: 22.30-33.88) per 100,000 person-years. The excess deaths of 6 underlying causes in people aged ≥65 years weight heavily. Compared to influenza B(Victoria) lineage, influenza B(Yamagata) lineage had more effect on influenza-associated disease burden, particularly in patients with respiratory and circulatory diseases. There was no statistical significance in sex in mortality burden associated with influenza.
Conclusion: Excess mortality associated with influenza B virus is dominated by B(Yamagata) lineage in Shanghai and the evidence on sex differences in influenza-associated mortality burden for respiratory and circulatory diseases is limited. Improving vaccinating the elderly and strengthening the laboratory-based surveillance of influenza B lineages in Shanghai are needed to reduce the disease burden of influenza.

Keywords: Age; Disease burden; Excess mortality; Influenza; Sex.
 
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