印度癌症经济负担调查数据集

数据集获取（Figshare）

• 源站标题：Economic burden of cancer in India: Evidence from cross-sectional nationally representative household survey, 2014
• DOI：10.1371/journal.pone.0193320
• 发布日期：2018-02-26
• 文件数：7 个
• 文件总体积：111.33 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Economic_burden_of_cancer_in_India_Evidence_from_cross-sectional_nationally_representative_household_survey_2014/5925943

命令行下载

curl -L -o "S1 Table.docx" "https://ndownloader.figshare.com/files/10594318"
curl -L -o "S2 Table.docx" "https://ndownloader.figshare.com/files/10594324"
curl -L -o "S3 Table.docx" "https://ndownloader.figshare.com/files/10594330"
curl -L -o "S4 Table.docx" "https://ndownloader.figshare.com/files/10594333"
curl -L -o "S5 Table.docx" "https://ndownloader.figshare.com/files/10594336"
curl -L -o "S6 Table.docx" "https://ndownloader.figshare.com/files/10594342"
curl -L -o "S7 Table.docx" "https://ndownloader.figshare.com/files/10594345"

文件清单

• S1 Table.docx（15.74 KB）
• S2 Table.docx（15.19 KB）
• S3 Table.docx（17.52 KB）
• S4 Table.docx（15.91 KB）
• S5 Table.docx（15.62 KB）
• S6 Table.docx（15.58 KB）
• S7 Table.docx（15.76 KB）

文件总体积 111.33 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

With the ongoing demographic and epidemiological transition, cancer is emerging as a major public health concern in India. This paper uses nationally representative household survey to examine the overall prevalence and economic burden of cancer in India. The age-standardized prevalence of cancer is estimated to be 97 per 100,000 persons with greater prevalence in urban areas. The evidence suggests that cancer prevalence is highest among the elderly and also among females in the reproductive age groups. Cancer displays a significant socioeconomic gradient even after adjusting for age-sex specifics and clustering in a multilevel regression framework. We find that out of pocket expenditure on cancer treatment is among the highest for any ailment. The average out of pocket spending on inpatient care in private facilities is about three-times that of public facilities. Furthermore, treatment for about 40 percent of cancer hospitalization cases is financed mainly through borrowings, sale of assets and contributions from friends and relatives. Also, over 60 percent of the households who seek care from the private sector incur out of pocket expenditure in excess of 20 percent of their annual per capita household expenditure. Given the catastrophic implications, this study calls for a disease-based approach towards financing such high-cost ailment. It is suggested that universal cancer care insurance should be envisaged and combined with existing accident and life insurance policies for the poorer sections in India. In concluding, we call for policies to improve cancer survivorship through effective prevention and early detection. In particular, greater public health investments in infrastructure, human resources and quality of care deserve priority attention.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0193320（source: https://plos.figshare.com/articles/dataset/Economic_burden_of_cancer_in_India_Evidence_from_cross-sectional_nationally_representative_household_survey_2014/5925943）。