COVID-19对肺癌患者恐惧与感知影响的单机构调查(表3)
2020年COVID-19疫情期间对意大利156名肺癌患者的调查数据,涉及患者对COVID-19的恐惧、治疗中断感知及生活质量影响。

基本信息
资源简介
COVID-19对肺癌患者恐惧与感知影响的单机构调查(表3)
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 18.76 KB,主题涵盖 lung cancer、COVID-19、coronavirus disease 2019、survey、fears,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table_3_Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey.docx》。配套论文《Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey》发表于 Frontiers in Oncology(2020),DOI:10.3389/fonc.2020.584612。源站首次发布:2020-10-14。
【数据内容】
源站原始描述:In February 2020, Italy became one of the first countries to be plagued by the SARS-CoV-2 pandemic, COVID-19. In March 2020, the Italian government decreed a lockdown for the whole country, which overturned communication systems, hospital organization, and access to patients and their relatives and carers. This issue had a particular regard for cancer patients. Our Thoracic Oncology Division therefore reorganized patient access in order to reduce the risk of contagion and, at the same time, enco…
【数据结构与技术规格】
文件数 1 个,合计 18.76 KB。Table_3_Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,18.76 KB。数据集 DOI:10.3389/fonc.2020.584612.s004。
【主题与分类】
源站学科分类:Cancer、Haematological Tumours、Radiation Therapy、Solid Tumours、Oncology and Carcinogenesis not elsewhere classified、Molecular Targets。主题标签:lung cancer、COVID-19、coronavirus disease 2019、survey、fears、quality of life、patient’s perception。
【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://frontiersin.figshare.com/articles/dataset/Table_3_Fears_and_Perception_of_the_Impact_of_COVID-19_on_Patients_With_Lung_Cancer_A_Mono-Institutional_Survey_docx/13088381
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Catania, Chiara; Spitaleri, Gianluca; Del Signore, Ester; Attili, Ilaria; Radice, Davide; Stati, Valeria; et al. (2020). Table_3_Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey.docx. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,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:Table_3_Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey.docx
- DOI:10.3389/fonc.2020.584612.s004
- 发布日期:2020-10-14
- 文件数:1 个
- 文件总体积:18.76 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_3_Fears_and_Perception_of_the_Impact_of_COVID-19_on_Patients_With_Lung_Cancer_A_Mono-Institutional_Survey_docx/13088381
命令行下载
curl -L -o "Table_3_Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey.docx" "https://ndownloader.figshare.com/files/25049909"
文件清单
Table_3_Fears and Perception of the Impact of COVID-19 on Patients With Lung Cancer: A Mono-Institutional Survey.docx(18.76 KB)
文件总体积 18.76 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
In February 2020, Italy became one of the first countries to be plagued by the SARS-CoV-2 pandemic, COVID-19. In March 2020, the Italian government decreed a lockdown for the whole country, which overturned communication systems, hospital organization, and access to patients and their relatives and carers. This issue had a particular regard for cancer patients. Our Thoracic Oncology Division therefore reorganized patient access in order to reduce the risk of contagion and, at the same time, encourage the continuation of treatment. Our staff contacted all patients to inform them of any changes in treatment planning, check that they were taking safety measures, and ascertain their feelings and whether they had any COVID-19 symptoms. To better understand patients’ fears and expectations of during the pandemic period, we created a nine-question interview, administered from April to May 2020 to 156 patients with lung cancer. Patients were classified by age, sex, comorbidity, disease stage, prior treatment, and treatment type. The survey showed that during the pandemic period some patients experienced fear of COVID-19, in particular: women (55% vs. 33%), patients with comorbidities (24% vs. 9%), and patients who had already received prior insult (radiotherapy or surgery) on the lung (30% vs. 11%). In addition, the patients who received oral treatment at home or for whom intravenous treatment was delayed, experienced a sense of relief (90% and 72% respectively). However, only 21% of the patients were more afraid of COVID-19 than of their cancer, in particular patients with long-term (> 12 months) vs. short-term cancer diagnosis (28% vs. 12.5%, respectively). Furthermore, the quarantine period or even just the lockdown period alone, worsened the quality of life of some patients (40%), especially those in oral treatment (47%). Our data demonstrate how lung cancer patients are more afraid of their disease than of a world pandemic. Also this interview indirectly highlights the clinician’s major guiding principle in correctly and appropriately managing not just the patient’s expectations of their illness and its treatment, but also and especially of the patient’s fears.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2020.584612.s004(source: https://frontiersin.figshare.com/articles/dataset/Table_3_Fears_and_Perception_of_the_Impact_of_COVID-19_on_Patients_With_Lung_Cancer_A_Mono-Institutional_Survey_docx/13088381)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




