Beijing National Research Center for Information Science and Technology (BNRist), Beijing, P. R. China.
Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China.
Sci Data. 2023 Mar 25;10(1):165. doi: 10.1038/s41597-023-02060-y.
This paper presents a fine-grained and multi-sourced dataset for environmental determinants of health collected from England cities. We provide health outcomes of citizens covering physical health (COVID-19 cases, asthma medication expenditure, etc.), mental health (psychological medication expenditure), and life expectancy estimations. We present the corresponding environmental determinants from four perspectives, including basic statistics (population, area, etc.), behavioural environment (availability of tobacco, health-care services, etc.), built environment (road density, street view features, etc.), and natural environment (air quality, temperature, etc.). To reveal regional differences, we extract and integrate massive environment and health indicators from heterogeneous sources into two unified spatial scales, i.e., at the middle layer super output area (MSOA) and the city level, via big data processing and deep learning. Our data holds great promise for diverse audiences, such as public health researchers and urban designers, to further unveil the environmental determinants of health and design methodology for a healthy, sustainable city.
本文提供了一个来自英国城市的有关健康决定因素的细粒度和多源数据集。我们提供了公民的健康结果，包括身体健康（COVID-19 病例、哮喘药物支出等）、心理健康（心理药物支出）和预期寿命估计。我们从四个角度介绍了相应的环境决定因素，包括基本统计数据（人口、面积等）、行为环境（烟草供应、医疗保健服务等）、建筑环境（道路密度、街景特征等）和自然环境（空气质量、温度等）。为了揭示区域差异，我们通过大数据处理和深度学习，从异构源中提取和整合大量环境和健康指标，将其纳入两个统一的空间尺度，即中层超级输出区（MSOA）和城市级别。我们的数据为不同的受众提供了很大的帮助，如公共卫生研究人员和城市设计师，以进一步揭示健康的环境决定因素，并为健康、可持续的城市设计方法。
