圣卡塔琳娜州专业心脏护理单元空间分布

数据集获取（Figshare）

• 源站标题：Spatial distribution of specialized cardiac care units in the state of Santa Catarina
• DOI：10.6084/m9.figshare.12210662.v1
• 发布日期：2020-04-29
• 文件数：9 个
• 文件总体积：670.22 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Spatial_distribution_of_specialized_cardiac_care_units_in_the_state_of_Santa_Catarina/12210662

命令行下载

curl -L -o "0034-8910-rsp-48-6-0916-gf01.jpg" "https://ndownloader.figshare.com/files/22456682"
curl -L -o "0034-8910-rsp-48-6-0916-gf02.jpg" "https://ndownloader.figshare.com/files/22456688"
curl -L -o "0034-8910-rsp-48-6-0916-gf03.jpg" "https://ndownloader.figshare.com/files/22456694"
curl -L -o "0034-8910-rsp-48-6-0916-ee01.jpg" "https://ndownloader.figshare.com/files/22456697"
curl -L -o "0034-8910-rsp-48-6-0916-ee02.jpg" "https://ndownloader.figshare.com/files/22456703"
curl -L -o "0034-8910-rsp-48-6-0916-ee03.jpg" "https://ndownloader.figshare.com/files/22456709"
curl -L -o "0034-8910-rsp-48-6-0916-ee04.jpg" "https://ndownloader.figshare.com/files/22456715"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/22456721"

文件清单

• 0034-8910-rsp-48-6-0916-gf01.jpg（137.93 KB）
• 0034-8910-rsp-48-6-0916-gf02.jpg（140.09 KB）
• 0034-8910-rsp-48-6-0916-gf03.jpg（161.83 KB）
• 0034-8910-rsp-48-6-0916-ee01.jpg（169.69 KB）
• 0034-8910-rsp-48-6-0916-ee02.jpg（15.28 KB）
• 0034-8910-rsp-48-6-0916-ee03.jpg（23.75 KB）
• 0034-8910-rsp-48-6-0916-ee04.jpg（6.28 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（9.73 KB）

文件总体积 670.22 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

OBJECTIVE To analyze the methodology used for assessing the spatial distribution of specialized cardiac care units. METHODS A modeling and simulation method was adopted for the practical application of cardiac care service in the state of Santa Catarina, Southern Brazil, using the p-median model. As the state is divided into 21 health care regions, a methodology which suggests an arrangement of eight intermediate cardiac care units was analyzed, comparing the results obtained using data from 1996 and 2012. RESULTS Results obtained using data from 2012 indicated significant changes in the state, particularly in relation to the increased population density in the coastal regions. The current study provided a satisfactory response, indicated by the homogeneity of the results regarding the location of the intermediate cardiac care units and their respective regional administrations, thereby decreasing the average distance traveled by users to health care units, located in higher population density areas. The validity of the model was corroborated through the analysis of the allocation of the median vertices proposed in 1996 and 2012. CONCLUSIONS The current spatial distribution of specialized cardiac care units is more homogeneous and reflects the demographic changes that have occurred in the state over the last 17 years. The comparison between the two simulations and the current configuration showed the validity of the proposed model as an aid in decision making for system expansion.

许可

CC BY-NC 3.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12210662.v1（source: https://scielo.figshare.com/articles/dataset/Spatial_distribution_of_specialized_cardiac_care_units_in_the_state_of_Santa_Catarina/12210662）。