ArticleInfluenza and other respiratory viruses2023
Inference of age-dependent case-fatality ratios for seasonal influenza virus subtypes A(H3N2) and A(H1N1)pdm09 and B lineages using data from the Netherlands.
Article in Influenza and other respiratory viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Estimates of epidemiological parameters for H5N1 influenza in humans: a rapid review.BMC infectious diseases · 2025Pooled it
- Evaluating the cost-effectiveness of adjuvanted influenza vaccine in the older adult population in the Netherlands.Human vaccines & immunotherapeutics · 2026Article
- Links between influenza epidemics, weather characteristics and all-cause mortality in the Czech Republic, 1982-2020.BMC public health · 2025Article
- Epidemic evolutionarily stable strategies within an age-structured host population.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Hospitalizations and In-Hospital Fatality Among Influenza Patients in the Pre-Pandemic and COVID-19 Pandemic Periods.Journal of clinical medicine · 2025Article
- In-Hospital Death and Risk Factors in Adults With Influenza in Spain (2016-2022): A Cross-Sectional Study With Focus on Older Patients.Health science reports · 2025Article
- Quantifying age-specific household contacts in Aotearoa New Zealand for infectious disease modelling.Royal Society open science · 2024Article
- Article
- Detection of influenza virus in urban wastewater during the season 2022/2023 in Sicily, Italy.Frontiers in public health · 2024Article
- Impact of influenza related hospitalization in Spain: characteristics and risk factor of mortality during five influenza seasons (2016 to 2021).Frontiers in public health · 2024Article
- Inference of age-dependent case-fatality ratios for seasonal influenza virus subtypes A(H3N2) and A(H1N1)pdm09 and B lineages using data from the Netherlands.Influenza and other respiratory viruses · 2023Article
- Article
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Authors and funding
8 authors.
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Abstract
Background: Despite the known relatively high disease burden of influenza, data are lacking regarding a critical epidemiological indicator, the case-fatality ratio. Our objective was to infer age-group and influenza (sub)type specific values by combining modelled estimates of symptomatic incidence and influenza-attributable mortality. Methods: The setting was the Netherlands, 2011/2012 through 2019/2020 seasons. Sentinel surveillance data from general practitioners and laboratory testing were synthesised to supply age-group specific estimates of incidence of symptomatic infection, and ecological additive modelling was used to estimate influenza-attributable deaths. These were combined in an Bayesian inferential framework to estimate case-fatality ratios for influenza A(H3N2), A(H1N1)pdm09 and influenza B, per 5-year age-group. Results: Case-fatality estimates were highest for influenza A(H3N2) followed by influenza B and then A(H1N1)pdm09 and were highest for the 85+ years age-group, at 4.76% (95% credible interval [CrI]: 4.52-5.01%) for A(H3N2), followed by influenza B at 4.08% (95% CrI: 3.77-4.39%) and A(H1N1)pdm09 at 2.51% (95% CrI: 2.09-2.94%). For 55-59 through 85+ years, the case-fatality risk was estimated to double with every 3.7 years of age. Conclusions: These estimated case-fatality ratios, per influenza sub(type) and per age-group, constitute valuable information for public health decision-making, for assessing the retrospective and prospective value of preventative interventions such as vaccination and for health economic evaluations.
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