COVID-19患者的护理轨迹:从预防措施到康复
基于巴西COVID-19患者访谈数据,分析其从预防到康复的护理轨迹,揭示医疗网络使用与获取问题。

基本信息
资源简介
COVID-19患者的护理轨迹:从预防措施到康复
【数据集背景】
本数据集源站标题为《Care trajectories of COVID-19 patients: from preventive measures to rehabilitation》。源站首次发布:2023-02-18。
【数据内容】
源站原始描述:This study aims to analyze the care trajectories of patients diagnosed with COVID-19 who were hospitalized and are currently undergoing rehabilitation regarding their use of and access to the healthcare network (HN). An evaluative, qualitative study was carried out based on interviews with patients in the city of Niterói, Rio de Janeiro State, Brazil. The care trajectories were reconstructed at three different occasions that express their experiences with the healthcare and support network durin…
【数据结构与技术规格】
文件数 10 个,合计 89.09 KB。数据集 DOI:10.6084/m9.figshare.22121274.v1。
【主题与分类】
源站学科分类:Environmental and Occupational Health and Safety。主题标签:COVID-19 Pandemics、Care Pathways、Health Services Accessibility。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Care_trajectories_of_COVID-19_patients_from_preventive_measures_to_rehabilitation/22121274
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Almeida, Patty Fidelis de; Casotti, Elisete; Silvério, Rafaela Fidelis Lima (2023). Care trajectories of COVID-19 patients: from preventive measures to rehabilitation. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-07-11,引用时请注意版本时效。
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)
- 源站标题:Care trajectories of COVID-19 patients: from preventive measures to rehabilitation
- DOI:10.6084/m9.figshare.22121274.v1
- 发布日期:2023-02-18
- 文件数:10 个
- 文件总体积:89.09 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Care_trajectories_of_COVID-19_patients_from_preventive_measures_to_rehabilitation/22121274
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/39313023"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/39313026"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/39313029"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/39313032"
curl -L -o "Table_5.xls" "https://ndownloader.figshare.com/files/39313035"
curl -L -o "Table_6.xls" "https://ndownloader.figshare.com/files/39313038"
curl -L -o "Table_7.xls" "https://ndownloader.figshare.com/files/39313041"
curl -L -o "Table_8.xls" "https://ndownloader.figshare.com/files/39313044"
文件清单
Table_1.xls(5.63 KB)Table_2.xls(9.73 KB)Table_3.xls(9.73 KB)Table_4.xls(9.73 KB)Table_5.xls(9.73 KB)Table_6.xls(5.63 KB)Table_7.xls(9.73 KB)Table_8.xls(9.73 KB)Table_9.xls(9.73 KB)Table_10.xls(9.73 KB)
文件总体积 89.09 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
This study aims to analyze the care trajectories of patients diagnosed with COVID-19 who were hospitalized and are currently undergoing rehabilitation regarding their use of and access to the healthcare network (HN). An evaluative, qualitative study was carried out based on interviews with patients in the city of Niterói, Rio de Janeiro State, Brazil. The care trajectories were reconstructed at three different occasions that express their experiences with the healthcare and support network during the pandemic: prevention, support and diagnosis measures; hospitalization; post-COVID-19 care, rehabilitation and support. The results indicate that the main source of information about COVID-19 was TV newscasts. Preventive hygiene measures were the most widely adopted. The family was the main support network. There was no waiting time for admission to the municipal referral hospital. Hospitalization was very well evaluated in terms of user embracement, multidisciplinary care, virtual visits and daily contact between doctor and family members. A post-discharge “care vacuum” was identified, with no follow-up by primary health care (PHC) and other public services. Low-cost health insurance plans and private specialized post-COVID-19 services were frequently and spontaneously sought until the implementation of the rehabilitation service. In summary, solitary and discontinuous care trajectories of individuals and families shed light on several challenges to the health system, including guaranteed access to coordinated PHC and expanded offer of specialized public services and rehabilitation, aligned with the principles of humanized care, in addition to the maintenance of social support measures.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.22121274.v1(source: https://scielo.figshare.com/articles/dataset/Care_trajectories_of_COVID-19_patients_from_preventive_measures_to_rehabilitation/22121274)。
数据缺失?
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