空气污染对眼表疾病在线医疗咨询影响数据表1
包含2015-2019年中国眼表疾病在线咨询量与空气污染物数据,用于分析空气污染对就医行为的影响。

基本信息
资源简介
空气污染对眼表疾病在线医疗咨询影响数据表1
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 525.07 KB,主题涵盖 air pollution、ocular surface diseases、online health consultations、spatiotemporal analysis、China,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Data Sheet 1_Effect of air pollution on online medical consultations for ocular surface diseases in China.docx》。配套论文《Research advances in pathogenic mechanisms underlying air pollution-induced ocular surface diseases》发表于 Advances in Ophthalmology Practice and Research(2021),DOI:10.1016/j.aopr.2021.100001。源站首次发布:2025-11-26。
【数据内容】
源站原始描述:BackgroundOcular Surface Diseases (OSDs), such as dry eye disease and conjunctivitis, pose significant public health challenges globally, especially in China where they affect millions and lead to substantial economic costs. With the development of digital technology, online consultations have become increasingly popular, yet the association between environmental factors and the volume of online consultations for OSDs remains unclear. This study explores the impact of environmental factors, part…
【数据结构与技术规格】
文件数 1 个,合计 525.07 KB。Data Sheet 1_Effect of air pollution on online medical consultations for ocular surface diseases in China.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,525.07 KB。数据集 DOI:10.3389/fpubh.2025.1627435.s001。
【主题与分类】
源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:air pollution、ocular surface diseases、online health consultations、spatiotemporal analysis、China。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Effect_of_air_pollution_on_online_medical_consultations_for_ocular_surface_diseases_in_China_docx/30718613
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Kang, Chenyi; Yuan, Xiaomeng; Yan, Siqi (2025). Data Sheet 1_Effect of air pollution on online medical consultations for ocular surface diseases in China.docx. Frontiers. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Data Sheet 1_Effect of air pollution on online medical consultations for ocular surface diseases in China.docx
- DOI:10.3389/fpubh.2025.1627435.s001
- 发布日期:2025-11-26
- 文件数:1 个
- 文件总体积:525.07 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Effect_of_air_pollution_on_online_medical_consultations_for_ocular_surface_diseases_in_China_docx/30718613
命令行下载
curl -L -o "Data Sheet 1_Effect of air pollution on online medical consultations for ocular surface diseases in China.docx" "https://ndownloader.figshare.com/files/59853581"
文件清单
Data Sheet 1_Effect of air pollution on online medical consultations for ocular surface diseases in China.docx(525.07 KB)
文件总体积 525.07 KB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
BackgroundOcular Surface Diseases (OSDs), such as dry eye disease and conjunctivitis, pose significant public health challenges globally, especially in China where they affect millions and lead to substantial economic costs. With the development of digital technology, online consultations have become increasingly popular, yet the association between environmental factors and the volume of online consultations for OSDs remains unclear. This study explores the impact of environmental factors, particularly air pollution, on the volume of online consultations for OSDs in China.
MethodsWe used web crawler technology to obtain OSDs online consultation data from China’s leading online medical platform “Good Doctor Online” from 2015–2019, and used correlation methods and fixed-effects regression models to analyze the impact of air pollution on the volume of online consultations for OSDs, and its potential regional variations and seasonal trends.
ResultsThe results reveal significant positive correlations between online consultations for OSDs and air pollutants, notably PM10, and NO2 (p 10 significantly affect online consultation volumes, indicating that worsening air quality directly alters health-seeking behavior. Additionally, the impact of air pollution on online consultations shows regional variability: AQI, PM2.5, and CO were notably impactful in the Fenwei Plain, SO2 in the Jiangsu-Zhejiang-Shanghai region, and NO₂ in the Beijing-Tianjin-Hebei and Zhujiang Delta regions. Seasonal trends also showed peaks in consultation volumes corresponding with periods of high pollution, particularly during summer and winter.
ConclusionOur findings demonstrate that air pollution is positively associated with online consultations for OSDs, with AQI and PM10 showing particularly robust effects. The impacts vary by region—different pollutants play a dominant role in different areas—and consultations tend to peak during highly polluted summer and winter seasons.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2025.1627435.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Effect_of_air_pollution_on_online_medical_consultations_for_ocular_surface_diseases_in_China_docx/30718613)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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