里约热内卢重症监护不平等：卫生服务空间分布对严重急性呼吸道感染的影响

数据集获取（Figshare）

• 源站标题：Intensive care inequity in Rio de Janeiro: the effect of spatial distribution of health services on severe acute respiratory infection
• DOI：10.6084/m9.figshare.14304270.v1
• 发布日期：2021-03-25
• 文件数：7 个
• 文件总体积：1.12 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Intensive_care_inequity_in_Rio_de_Janeiro_the_effect_of_spatial_distribution_of_health_services_on_severe_acute_respiratory_infection/14304270

命令行下载

curl -L -o "0103-507X-rbti-32-01-0072-gf01-en.jpg" "https://ndownloader.figshare.com/files/27204840"
curl -L -o "0103-507X-rbti-32-01-0072-gf02-en.jpg" "https://ndownloader.figshare.com/files/27204843"
curl -L -o "0103-507X-rbti-32-01-0072-gf03-en.jpg" "https://ndownloader.figshare.com/files/27204846"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27204849"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27204852"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/27204855"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/27204858"

文件清单

• 0103-507X-rbti-32-01-0072-gf01-en.jpg（751.24 KB）
• 0103-507X-rbti-32-01-0072-gf02-en.jpg（200.91 KB）
• 0103-507X-rbti-32-01-0072-gf03-en.jpg（148.61 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）

文件总体积 1.12 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

ABSTRACT Objective: To analyze the distribution of adult intensive care units according to geographic region and health sector in Rio de Janeiro and to investigate severe acute respiratory infection mortality in the public sector and its association with critical care capacity in the public sector. Methods: We evaluated the variation in intensive care availability and severe acute respiratory infection mortality in the public sector across different areas of the city in 2014. We utilized databases from the National Registry of Health Establishments, the Brazilian Institute of Geography and Statistics, the National Mortality Information System and the Hospital Admission Information System. Results: There is a wide range of intensive care unit beds per capita (from 4.0 intensive care unit beds per 100,000 people in public hospitals in the West Zone to 133.6 intensive care unit beds per 100,000 people in private hospitals in the Center Zone) in the city of Rio de Janeiro. The private sector accounts for almost 75% of the intensive care unit bed supply. The more developed areas of the city concentrate most of the intensive care unit services. Map-based spatial analysis shows a lack of intensive care unit beds in vast territorial extensions in the less developed regions of the city. There is an inverse correlation (r = -0.829; 95%CI -0.946 to -0.675) between public intensive care unit beds per capita in different health planning areas of the city and severe acute respiratory infection mortality in public hospitals. Conclusion: Our results show a disproportionate intensive care unit bed provision across the city of Rio de Janeiro and the need for a rational distribution of intensive care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14304270.v1（source: https://scielo.figshare.com/articles/dataset/Intensive_care_inequity_in_Rio_de_Janeiro_the_effect_of_spatial_distribution_of_health_services_on_severe_acute_respiratory_infection/14304270）。