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Age- and sex-specific excess mortality associated with influenza in Shanghai, China, 2010–2015

Shan Jin, Jing Li, Renzhi Cai, Xiling Wang, Zhen Gu, Huiting Yu, Bo Fang, Lei Chen, Chunfang Wang

2020International Journal of Infectious Diseases26 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: Few studies have explored the different lineages of influenza B viruses, which cause excessive fatalities. This study aimed to estimate age- and sex-specific excessive 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 excessive mortality rate in deaths coded as all-cause was 27.66 (95%CI: 22.30-33.88) per 100,000 person-years. The excessive deaths from six underlying causes in people aged ≥65 years weight heavily. Compared to influenza B(Victoria) lineage, influenza B(Yamagata) lineage had more effect on the influenza-associated disease burden, particularly in patients with respiratory and circulatory diseases. There was no statistical significance of sex in the mortality burden associated with influenza. CONCLUSION: Disproportionate mortality associated with influenza B virus is dominated by B(Yamagata) lineage in Shanghai, and the evidence for sex differences in the influenza-associated mortality burden for respiratory and circulatory diseases is limited. Improving the vaccination of the elderly and strengthening laboratory-based surveillance of influenza B lineages in Shanghai are needed to reduce this influenza's disease burden.

Topics & Concepts

MedicineMortality rateDiseaseConfoundingDisease burdenDemographyEpidemiologyPoisson regressionHuman mortality from H5N1VaccinationImmunologyEnvironmental healthInternal medicineInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)PopulationSociologyInfluenza Virus Research StudiesRespiratory viral infections researchImmune responses and vaccinations
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