医疗设施特征(样本)
该数据集包含印度21邦450家医疗机构在COVID-19疫情期间使用氧气浓缩器和氧气瓶的调查数据,用于评估供氧设备短期和长期效用。

基本信息
资源简介
医疗设施特征(样本)
【数据集背景】
本数据集源站标题为《Healthcare facility characteristics (sample).》。源站首次发布:2023-08-17。
【数据内容】
源站原始描述:There has been an unprecedented increase in global demand for medical oxygen equipment to solve the acute oxygen shortages caused by SARS-CoV-2 infection. The study aims to assess the value of improved access and use of Oxygen Concentrators (OCs) and cylinders during the COVID-19 pandemic in India. This evaluation is relevant to strengthening health systems in many resource-constrained Low- and Middle-Income Country (LMIC) settings. Using a Probability Proportional to Size (PPS) sampling method,…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:undefined,9.73 KB。数据集 DOI:10.1371/journal.pgph.0002297.t001。
【主题与分类】
源站学科分类:Medicine、Cell Biology、Molecular Biology、Biotechnology、Environmental Sciences not elsewhere classified、Biological Sciences not elsewhere classified。主题标签:training biomedical engineers、strengthening health systems、multivariate regression analyses、related oxygen emergency、organize oxygen support、medical oxygen equipment、primary outcomes measured、additional oxygenation devices、administer oxygen devices、surveyed facilities reported。
【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://plos.figshare.com/articles/dataset/Healthcare_facility_characteristics_sample_/23979479
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Batheja, Deepshikha; Kurian, Vinith; Buteau, Sharon; Joy, Neetha; Nair, Ajay (2023). Healthcare facility characteristics (sample).. PLOS Global Public Health. Dataset
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:Healthcare facility characteristics (sample).
- DOI:10.1371/journal.pgph.0002297.t001
- 发布日期:2023-08-17
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Healthcare_facility_characteristics_sample_/23979479
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/42043823"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 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
There has been an unprecedented increase in global demand for medical oxygen equipment to solve the acute oxygen shortages caused by SARS-CoV-2 infection. The study aims to assess the value of improved access and use of Oxygen Concentrators (OCs) and cylinders during the COVID-19 pandemic in India. This evaluation is relevant to strengthening health systems in many resource-constrained Low- and Middle-Income Country (LMIC) settings. Using a Probability Proportional to Size (PPS) sampling method, primary surveys were conducted in 450 health facilities across 21 states in India. The primary outcomes measured were self-reported utility of oxygenation devices in meeting the oxygen demand in the short-run and long-run utility of devices compared to the pre-oxygen-devices-distribution-period. We perform bivariate and multivariate regression analyses. Around 53–54% of surveyed facilities reported that the distributed oxygenation devices helped meet oxygen demand in the short run and are expected to increase their long-run capacity to admit non-COVID patients with oxygen needs. The timely availability of technicians was associated with meeting oxygen demand using the additional oxygenation devices at the facilities. Facilities that increased the number of staff members who were able to administer oxygen devices were at higher odds of reducing the administrative load on their staff to organize oxygen support in the long run. Hospital infrastructure was also associated with long-run outcomes. We find that oxygenation devices such as cylinders and OCs were useful in addressing the oxygen demand during the COVID-19-related oxygen emergency. Overall production of oxygen to meet the demands and investments in training biomedical engineers/technicians to administer oxygen could help save lives.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pgph.0002297.t001(source: https://plos.figshare.com/articles/dataset/Healthcare_facility_characteristics_sample_/23979479)。
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。
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