去标识化研究数据集

哈萨克斯坦阿拉木图初级卫生保健机构医护人员HIV污名化定量调查与定性访谈的去标识化数据集。

Figshare
2025-09-02 更新
浏览 19
多模态分类p >&amp;# 8220last 12 monthskazakhstan </ pinvolving quantitative surveysadjusted odds ratioci )= 0aor )= 0enhance hiv careeffective hiv careprimary healthcare clinicshealthcare providers expressingquantitative data analysis
De-identified study dataset.

基本信息

模态
多模态
大小
0.000080312 GB
任务类型
分类
许可
CC BY 4.0
创建/更新时间
2025-09-02
版本
v1

资源简介

去标识化研究数据集

【数据集背景】

本数据集源站标题为《De-identified study dataset.》。源站首次发布:2025-09-02。

【数据内容】

源站原始描述:Background HIV-related stigma among healthcare providers remains a significant barrier to effective HIV care and treatment. This study aimed to assess HIV-related stigma and associated factors among healthcare providers in primary healthcare clinics (PHCs) in Almaty, Kazakhstan. Methods A mixed-methods design was employed, involving quantitative surveys and qualitative in-depth interviews. Eight PHCs were randomly selected, and 448 healthcare providers participated in the survey. The cross-secti…

主表 pone.0331201.s002.csv 含 85 列、样本前 450 行结构完整。

【数据结构与技术规格】

文件数 1 个,合计 80.31 KB。pone.0331201.s002.csv:text/csv,80.31 KB。数据集 DOI:10.1371/journal.pone.0331201.s002。

【主题与分类】

源站学科分类:Biotechnology、Cancer、Science Policy、Infectious Diseases。主题标签:p >&amp;# 8220、last 12 months、kazakhstan </ p、involving quantitative surveys、adjusted odds ratio、ci )= 0、aor )= 0、enhance hiv care、effective hiv care、primary healthcare clinics。

【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。多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/De-identified_study_dataset_/30034073

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

规范引用:Iskakova, Balnur; King, Elizabeth J.; Yucel, Recai Murat; DeHovitz, Jack; Nugmanova, Zhamilya (2025). De-identified study dataset.. PLOS ONE. Dataset

官方服务

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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 "pone.0331201.s002.csv" "https://ndownloader.figshare.com/files/57598460"

文件清单

  • pone.0331201.s002.csv(80.31 KB)

文件总体积 80.31 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

Background
HIV-related stigma among healthcare providers remains a significant barrier to effective HIV care and treatment. This study aimed to assess HIV-related stigma and associated factors among healthcare providers in primary healthcare clinics (PHCs) in Almaty, Kazakhstan.
Methods
A mixed-methods design was employed, involving quantitative surveys and qualitative in-depth interviews. Eight PHCs were randomly selected, and 448 healthcare providers participated in the survey. The cross-sectional surveys took place at the PHCs between May 2, 2019, and July 2, 2019. The sample size was predetermined statistically with a 2.5% precision using a 95% confidence level. For the qualitative component, 10 participants were chosen for in-depth interviews. Descriptive statistics, bivariate analysis, and multivariable logistic regression models were performed for quantitative data analysis. Qualitative data were analyzed through manual thematic analysis.
Results
The study revealed high levels of HIV-related stigma, with 87% of respondents agreeing with at least one stigmatizing statement about people living with HIV (PLHIV). Fear of HIV infection was also prevalent, with 85% of healthcare providers expressing some level of concern about contracting HIV during medical procedures. Logistic regression analysis indicated that longer years of work in healthcare were protective against stigmatizing opinions (Adjusted Odds Ratio (AOR)=0.25; 95% Confidence Interval (95%CI)=0.09,0.67; p = 0.006), while not having seen a patient living with HIV in the last 12 months was associated with higher stigma (AOR = 3.31; 95%CI = 1.73, 6.31; p Conclusions
The study demonstrates significant HIV-related stigma among healthcare providers in Almaty PHCs, influenced by a lack of exposure to PLHIV and specific socio-demographic factors. These findings underscore the need for targeted interventions to reduce stigma and enhance HIV care in Kazakhstan.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0331201.s002(source: https://plos.figshare.com/articles/dataset/De-identified_study_dataset_/30034073)。

数据缺失?

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