Vaccination Cluster Classification Dataset

Dataset Source:
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.2025.127902
The original paper is available at:
https://www.sciencedirect.com/science/article/pii/S0264410X25011995
Description:
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
Tasks:
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 UTLA
2- You can use the GDSC data to classify the vaccination cluster of the UTLAs (regions)
License:
This dataset is released under a custom Dataset License Agreement (see LICENSE_DATA.txt).
The Figshare setting “CC BY 4.0” applies only insofar as it is consistent with the custom license.
Commercial use, redistribution, or hosting of the dataset elsewhere is not permitted, even with attribution.
Users should share the official Figshare DOI link instead.
By downloading or using this dataset, you agree to the terms of the Dataset License Agreement.