Vaccination Cluster Classification Dataset

<b>Dataset Source</b>: These datasets are from the following paper: A. Noroozi, S. M. Esha, and M. Ghari, ‘Predictors of childhood vaccination uptake in England: an explainable machine learning analysis of regional data (2021–2024)’, Vaccine, vol. 68, p. 127902, Dec. 2025, doi: 10.1016/j.vaccine.2025.127902The original paper is available at: https://www.sciencedirect.com/science/article/pii/S0264410X25011995<b>Description</b>: Vacstat2021-22, Vacstat2022-23, and Vacstat2023-24 contain the vaccination data of 150 Upper Tier Local Authorities (UTLA) in England for 14 types of diseases for children under 5 years old for 2021-2022, 2022-2023, and 2023-2024, respectively. GDSC.csv contains the GDSC data as mentioned in the paper, which includes Geographical, demographic, socioeconomic, and cultural (ethnic) data for the same 150 UTLAs (regions) in England<b>Tasks</b>: 1- You can use the vaccination data for clustering the vaccination rate of UTLAs (regions) and assign a cluster label to each region. This label represents the level of vaccination coverage for that UTLA2- You can use the GDSC data to classify the vaccination cluster of the UTLAs (regions) <b>License</b>: This dataset is released under a custom <i>Dataset License Agreement</i> (see <code>LICENSE_DATA.txt</code>).<br>The Figshare setting “CC BY 4.0” applies only insofar as it is consistent with the custom license.<br>Commercial use, redistribution, or hosting of the dataset elsewhere is not permitted, even with attribution.<br>Users should share the official Figshare DOI link instead.<br>By downloading or using this dataset, you agree to the terms of the Dataset License Agreement.