Age-Standardized Mortality Data for Non-Linear Analysis of COVID-19 and Non-COVID-19 Mortality by Vaccination Status, UK, 2021–2023

Title: Dataset for "Non-linear Relationships between COVID-19 and Non-COVID-19 Mortality by Vaccination Status within Age Groups" Author: Ir. A.J. Oostenbrink, Independent Researcher (ORCID: 0009-0003-3495-9519) Description: This dataset supports the study analyzing non-linear relationships between COVID-19 and non-COVID-19 mortality by vaccination status across age groups, using UK Office for National Statistics (ONS) data from January 2021 to May 2023. It includes age-standardized mortality rates for five vaccination statuses (unvaccinated, one dose, two doses, three doses, four or more doses) across six age groups (18–39, 40–49, 50–59, 60–69, 70–79, 80–89, 90+ years). The dataset covers monthly data on COVID-19 mortality, non-COVID-19 mortality, and all-cause mortality, enabling the examination of selection bias and concentration effects. Key variables include relative risks (RRcov, RRnoncov), vaccine effectiveness (VE) curves, and concentration factors, modeled using a power function (RRcov ∝ (RRnoncov)^a). Data were sourced from ONS publications (2022, 2023) and processed in Microsoft Excel. The dataset includes appendices with person-years, mortality rates, and VE visualizations, supporting non-linear modeling and bias correction analyses. Raw data are available upon request, adhering to UK data protection regulations.Keywords: COVID-19, vaccine effectiveness, mortality rates, selection bias, non-linear modeling, ONS dataLicense: [CC BY 4.0]Files: Aggregated mortality data (Excel), Appendices I–VI (visualizations and tables)