癌症质子治疗可及性不平等及其经济决定因素横断面研究数据集

数据集获取（Figshare）

• 源站标题：DataSheet_1_Inequality in Accessibility of Proton Therapy for Cancers and Its Economic Determinants: A Cross-Sectional Study.xlsx
• DOI：10.3389/fonc.2022.876368.s001
• 发布日期：2022-05-20
• 文件数：1 个
• 文件总体积：28.23 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Inequality_in_Accessibility_of_Proton_Therapy_for_Cancers_and_Its_Economic_Determinants_A_Cross-Sectional_Study_xlsx/19800262

命令行下载

curl -L -o "DataSheet_1_Inequality in Accessibility of Proton Therapy for Cancers and Its Economic Determinants: A Cross-Sectional Study.xlsx" "https://ndownloader.figshare.com/files/35186113"

文件清单

• DataSheet_1_Inequality in Accessibility of Proton Therapy for Cancers and Its Economic Determinants: A Cross-Sectional Study.xlsx（28.23 KB）

文件总体积 28.23 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

BackgroundCancer is a leading cause of death in the world, and the estimated new cancer cases were 19 million and the estimated cancer deaths were around 10 million worldwide in 2020. Proton therapy (PT) is a promising treatment for cancers; however, only few patients with cancer received PT due to limited number of PT centers worldwide, especially in low- and middle-income countries.
Methods and ResultsCross-sectional country level data were collected from publicly available information. Lorenz curves and Gini coefficient were used to assess the inequality in accessing to PT, and zero-inflated Poisson models were used to investigate the determinants of number of PT facilities in each country. The Gini coefficients were 0.96 for PT centers and 0.96 for PT chambers, which indicated high level of inequality. Total GDP had a significant impact on whether a country had a practical PT center, whereas total GDP and GDP per capita had significant impacts on the number of PT centers.
ConclusionExtremely high inequality exists in accessibility of PT centers among all countries in the world. Economic development was the most important factor determining the adoption of PT; thus, with the growth in global economics, more PT centers can be expected in near future.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.876368.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Inequality_in_Accessibility_of_Proton_Therapy_for_Cancers_and_Its_Economic_Determinants_A_Cross-Sectional_Study_xlsx/19800262）。