巴西COVID-19导致的医生和护理人员死亡:一项社会学研究

巴西COVID-19导致医生和护理人员死亡的社会学分析数据集,包含来自官方机构的死亡数据。

Figshare
2023-02-01 更新
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表格DeathMedicineNursingCOVID-19Health
Deaths of doctors and nursing staff by COVID-19 in Brazil: a sociological approach

基本信息

模态
表格
大小
0.007884241 GB
许可
CC BY 4.0
创建/更新时间
2023-02-01
版本
v1

资源简介

巴西COVID-19导致的医生和护理人员死亡:一项社会学研究

【数据集背景】

本数据集源站标题为《Deaths of doctors and nursing staff by COVID-19 in Brazil: a sociological approach》。源站首次发布:2023-01-17。

【数据内容】

源站原始描述:Abstract The article addresses the most basic nuances and key issues involved in the high mortality of doctors, nurses, technicians and nursing assistants, as a result of COVID-19 in Brazil. This is a study based on data from the Federal Councils of Medicine and Nursing (CFM and Cofen, respectively) and the study on the death inventory of the Oswaldo Cruz Foundation (Fiocruz), and aims to understand and analyze this reality in the light of the sociology of professions. The work makes a relevant…

【数据结构与技术规格】

文件数 34 个,合计 7.88 MB。数据集 DOI:10.6084/m9.figshare.21907576.v1。

【主题与分类】

源站学科分类:Health Policy。主题标签:Death、Medicine、Nursing、COVID-19、Health。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://scielo.figshare.com/articles/dataset/Deaths_of_doctors_and_nursing_staff_by_COVID-19_in_Brazil_a_sociological_approach/21907576

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Machado, Maria Helena; Teixeira, Eleny Guimarães; Freire, Neyson Pinheiro; Pereira, Everson Justino; Minayo, Maria Cecília de Souza (2023). Deaths of doctors and nursing staff by COVID-19 in Brazil: a sociological approach. SciELO journals. Dataset

【使用注意】

· 源站最后修改于 2023-06-17,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "e12253369b3fbab5b5b1fc7322d633b8c2717f77.tif" "https://ndownloader.figshare.com/files/38861176"
curl -L -o "8d39e46c94ad2b2404e4162e62209c89aaaded2c.png" "https://ndownloader.figshare.com/files/38861179"
curl -L -o "c0b88fa95c078907347019ec5d3325cbded83ddf.jpg" "https://ndownloader.figshare.com/files/38861182"
curl -L -o "aa2242a46492a51dbc728fa6d41c949868112793.tif" "https://ndownloader.figshare.com/files/38861185"
curl -L -o "22e488f3aec92227c5f1fb5d0e0f21bb5c982a82.png" "https://ndownloader.figshare.com/files/38861188"
curl -L -o "a84af316ecefb682c42b7cc6a927a04d9e40cfa1.jpg" "https://ndownloader.figshare.com/files/38861191"
curl -L -o "641164f4d87e589a141db085107b99e0a0c320f2.tif" "https://ndownloader.figshare.com/files/38861194"
curl -L -o "c88f4423fb2a94430de2a2dae6a8d2e28ce7030b.png" "https://ndownloader.figshare.com/files/38861197"

文件清单

  • e12253369b3fbab5b5b1fc7322d633b8c2717f77.tif(798.54 KB)
  • 8d39e46c94ad2b2404e4162e62209c89aaaded2c.png(20.09 KB)
  • c0b88fa95c078907347019ec5d3325cbded83ddf.jpg(4.76 KB)
  • aa2242a46492a51dbc728fa6d41c949868112793.tif(776.84 KB)
  • 22e488f3aec92227c5f1fb5d0e0f21bb5c982a82.png(28.40 KB)
  • a84af316ecefb682c42b7cc6a927a04d9e40cfa1.jpg(6.15 KB)
  • 641164f4d87e589a141db085107b99e0a0c320f2.tif(1.21 MB)
  • c88f4423fb2a94430de2a2dae6a8d2e28ce7030b.png(38.65 KB)
  • f56fc58f4559e4d8da5e5f878e71d8ae6145a4be.jpg(4.47 KB)
  • 7b9291427ca872ab01e27b5712252d593ac19709.tif(974.06 KB)
  • d093e081a2f17f44ed2e85102b374c00143f996d.png(57.29 KB)
  • 0df34ac6ea6a3c2be8873049f5d3b03c9d2ec932.jpg(7.48 KB)
  • 2bd91ecacc338d8a523eb37ee6814dfbdb7bc7d7.tif(790.42 KB)
  • 39e6e305cfa84c425b9d34a57fd0c8f62272de8d.png(21.21 KB)
  • f0f1fb1c05eb735342082b3cce9441454d0ddb7b.jpg(4.79 KB)
  • e767196fa976d0aa7579f279bbd71c03a9158859.tif(770.21 KB)
  • abf4bcefaa77474791d280cc5ef62a215895045b.png(26.81 KB)
  • 19565829db11494ad2652ba2641d6396101faf52.jpg(6.10 KB)
  • 2a100bb418d9b91085a179a264967c436d8dbf6a.tif(1.20 MB)
  • fb2060e24ebe987967226e067a11190155bf9268.png(37.55 KB)

文件总体积 7.88 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 The article addresses the most basic nuances and key issues involved in the high mortality of doctors, nurses, technicians and nursing assistants, as a result of COVID-19 in Brazil. This is a study based on data from the Federal Councils of Medicine and Nursing (CFM and Cofen, respectively) and the study on the death inventory of the Oswaldo Cruz Foundation (Fiocruz), and aims to understand and analyze this reality in the light of the sociology of professions. The work makes a relevant and unprecedented contribution to the understanding of the past, present and future of working class segments that work at the bedside, on the front line, providing direct care to patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21907576.v1(source: https://scielo.figshare.com/articles/dataset/Deaths_of_doctors_and_nursing_staff_by_COVID-19_in_Brazil_a_sociological_approach/21907576)。

数据缺失?

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⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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