2026-10-14T17:18:10Z https://www.scidb.cn/oai

10.57760/sciencedb.27187 2025-08-29T11:05:18Z

2025-08-29 Time-series data for smoking and vaping prevalence in England doi:10.57760/sciencedb.27187 en This dataset contains a retrospective time-series analysis of seven key public health parameters related to smoking and vaping trends in England from 2011 to 2023. The data was sourced from publicly available records from the Office for Health Improvement and Disparities.The dataset includes time-series records for the following parameters: adult smoking prevalence, youth smoking rates, youth vaping rates, maternal smoking prevalence, smoking-attributable hospital admissions, smoking-attributable mortality, and quit success rates.The data is presented in a structured format suitable for time-series analysis and forecasting. Associated with this dataset are the Python scripts used to apply forecasting models, including Exponential Smoothing (ETS), Autoregressive Integrated Moving Average (ARIMA), and Prophet. These scripts detail the data preparation, model application, and calculation of accuracy metrics (MAPE and MAE), enabling reproducibility of the analysis. The data and code are provided to facilitate further public health research, trend analysis, and model validation by the broader scientific community. Forecasting; Public Health; Health Policy; Electronic Nicotine Delivery Systems; Smoking; Periodontal Diseases Dr Shiva ShankarBugude PUBLIC https://mit-license.org dataset Science Data Bank