流感季节急诊科医护人员暴露研究

基于2015年流感季成人急诊科,采集医护人员个人/房间气溶胶、表面拭子、呼吸器及问卷,PCR检测甲型流感以评估暴露风险。

NIAID Data Ecosystem
浏览 14
表格healthcare personnel exposurehealthcare personnelFiltering facepiece respiratorssurface swabsroom air samplesInfluenza copy numberspatient careroom bioaerosol samplesbioaerosol samplerspolymerase chain reaction2015 influenza seasonfacepiece respirators
Healthcare personnel exposure in an emergency department during influenza season

基本信息

模态
表格
大小
0.00004525 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

流感季节急诊科医护人员暴露研究

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 45.25 KB,主题涵盖 healthcare personnel exposure、healthcare personnel、Filtering facepiece respirators、surface swabs、room air samples,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《Healthcare personnel exposure in an emergency department during influenza season》。配套论文《Healthcare personnel exposure in an emergency department during influenza season》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0203223。源站首次发布:2018-08-31。

【数据内容】

源站原始描述:Introduction Healthcare personnel are at high risk for exposure to influenza by direct and indirect contact, droplets and aerosols, and by aerosol generating procedures. Information on air and surface influenza contamination is needed to assist in developing guidance for proper prevention and control strategies. To understand the vulnerabilities of healthcare personnel, we measured influenza in the breathing zone of healthcare personnel, in air and on surfaces within a healthcare setting, and on…

【数据结构与技术规格】

文件数 2 个,合计 45.25 KB。pone.0203223.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,16.41 KB。pone.0203223.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,28.84 KB。数据集 DOI:10.1371/journal.pone.0203223。

【主题与分类】

源站学科分类:Biochemistry、Medicine、Cell Biology、Biotechnology、Environmental Sciences not elsewhere classified、Cancer。主题标签:healthcare personnel exposure、healthcare personnel、Filtering facepiece respirators、surface swabs、room air samples、Influenza copy numbers、patient care、room bioaerosol samples、bioaerosol samplers、polymerase chain reaction。

【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_personnel_exposure_in_an_emergency_department_during_influenza_season/7036727

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

规范引用:Rule, Ana M.; Apau, Otis; Ahrenholz, Steven H.; E. Brueck, Scott; G. Lindsley, William; de Perio, Marie A.; et al. (2018). Healthcare personnel exposure in an emergency department during influenza season. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,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

陕川双基地 × 超十家三甲医院直连

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。

帮我联系

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 "pone.0203223.s001.docx" "https://ndownloader.figshare.com/files/12930200"
curl -L -o "pone.0203223.s002.docx" "https://ndownloader.figshare.com/files/12930203"

文件清单

  • pone.0203223.s001.docx(16.41 KB)
  • pone.0203223.s002.docx(28.84 KB)

文件总体积 45.25 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

Introduction
Healthcare personnel are at high risk for exposure to influenza by direct and indirect contact, droplets and aerosols, and by aerosol generating procedures. Information on air and surface influenza contamination is needed to assist in developing guidance for proper prevention and control strategies. To understand the vulnerabilities of healthcare personnel, we measured influenza in the breathing zone of healthcare personnel, in air and on surfaces within a healthcare setting, and on filtering facepiece respirators worn by healthcare personnel when conducting patient care.
Methods
Thirty participants were recruited from an adult emergency department during the 2015 influenza season. Participants wore personal bioaerosol samplers for six hours of their work shift, submitted used filtering facepiece respirators and medical masks and completed questionnaires to assess frequency and types of interactions with potentially infected patients. Room air samples were collected using bioaerosol samplers, and surface swabs were collected from high-contact surfaces within the adult emergency department. Personal and room bioaerosol samples, surface swabs, and filtering facepiece respirators were analyzed for influenza A by polymerase chain reaction.
Results
Influenza was identified in 42% (53/125) of personal bioaerosol samples, 43% (28/ 96) of room bioaerosol samples, 76% (23/30) of pooled surface samples, and 25% (3/12) of the filtering facepiece respirators analyzed. Influenza copy numbers were greater in personal bioaerosol samples (17 to 631 copies) compared to room bioaerosol samples (16 to 323 copies). Regression analysis suggested that the amount of influenza in personal samples was approximately 2.3 times the amount in room samples (Wald χ2 = 16.21, pConclusions
Healthcare personnel may encounter increased concentrations of influenza virus when in close proximity to patients. Occupations that require contact with patients are at an increased risk for influenza exposure, which may occur throughout the influenza season. Filtering facepiece respirators may become contaminated with influenza when used during patient care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0203223(source: https://plos.figshare.com/articles/dataset/Healthcare_personnel_exposure_in_an_emergency_department_during_influenza_season/7036727)。

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。

获取专属数据定制方案