巴西儿童癌症医疗可及性：起讫点流动映射

数据集获取（Figshare）

• 源站标题：Access to pediatric cancer care in Brazil: mapping origin-destination flows
• DOI：10.6084/m9.figshare.14292025.v1
• 发布日期：2021-03-24
• 文件数：4 个
• 文件总体积：1.05 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Access_to_pediatric_cancer_care_in_Brazil_mapping_origin-destination_flows/14292025

命令行下载

curl -L -o "0034-8910-rsp-47-02-0368-gf01.jpg" "https://ndownloader.figshare.com/files/27184281"
curl -L -o "0034-8910-rsp-47-02-0368-gf02.jpg" "https://ndownloader.figshare.com/files/27184283"
curl -L -o "0034-8910-rsp-47-02-0368-gf03.jpg" "https://ndownloader.figshare.com/files/27184285"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27184287"

文件清单

• 0034-8910-rsp-47-02-0368-gf01.jpg（281.59 KB）
• 0034-8910-rsp-47-02-0368-gf02.jpg（367.89 KB）
• 0034-8910-rsp-47-02-0368-gf03.jpg（393.43 KB）
• Table_1.xls（9.73 KB）

文件总体积 1.05 MB（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

OBJECTIVE: To analyze fl ows of travel between place of residence and health care services by children and adolescents with cancer. METHODS: The flows of travel between place of residence and the health care service for children and adolescents receiving care in Brazil’s Unifi ed Health System (SUS) were monitored between 2000 and 2007. The unit of analysis was the health care district. The geographical information system data and network methodology, by type of treatment received (chemotherapy and radiotherapy) and hospital admissions were used. RESULTS: The SUS made 465,289 authorizations for chemotherapy, 29,151 for radiotherapy and 383,568 for hospital admissions for the treatment of children and adolescents with a diagnosis of cancer. The dominant fl ow formed 48 networks for chemotherapy, 53 for radiotherapy and 112 for hospital admissions. Most of the volume of treatment occurred in the health districts of Brazil’s 12 largest cities (with strong links between them and each having an extensive area of direct infl uence accompanying the structure of the Brazilian urban system. CONCLUSIONS: Identifying the networks formed by utilization of SUS facilities providing care for children and adolescents with cancer shows that overall most patients are covered by the existing networks. However, about 10% of travel occurs outside the dominant structure, indicating the need for alternative regionalization. These results show the importance of planning the distribution of services to meet the population’s needs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14292025.v1（source: https://scielo.figshare.com/articles/dataset/Access_to_pediatric_cancer_care_in_Brazil_mapping_origin-destination_flows/14292025）。