南非耐药结核病感染预防控制政策与系统背景
南非耐药结核病感染预防控制政策演变与实施的定性研究数据集，包含政策行动者视角的访谈与文档数据。
基本信息
资源简介
南非耐药结核病感染预防控制政策与系统背景
【数据集背景】
本数据集源站标题为《Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context》。配套论文《‘It has become everybody’s business and nobody’s business’: Policy actor perspectives on the implementation of TB infection prevention and control (IPC) policies in South African public sector primary care health facilities》发表于 Global Public Health（2020），DOI：10.1080/17441692.2020.1839932。项目资助方：Economic and Social Research Council (UK) (grant reference: ES/P008011/1)。源站首次发布：2022-09-14。
【数据内容】
源站原始描述：Research Question 1 focuses on how policies on infection prevention and control (IPC) for drug-resistant tuberculosis (DR-TB) evolved and have been implemented in the content of primary health care reforms in South Africa. This study focuses on policy actor perspectives on the underlying drivers of TB-IPC policy implementation. It is part of a larger project entitled: Umoya Omuhle - Infection Prevention and Control for Drug-Resistant Tuberculosis in South Africa in the Era of Decentralised Care:…
【数据结构与技术规格】
文件数 1 个，合计 1.99 MB。数据集 DOI：10.25375/uct.16438842.v1。
【主题与分类】
源站学科分类：Health and community services、Health management、Health systems、Implementation science and evaluation。主题标签：Tuberculosis、Infection prevention and control (IPC)、health systems、quality assurance、health policy、South Africa。
【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://zivahub.uct.ac.za/articles/dataset/Infection_prevention_and_control_for_drug-resistant_tuberculosis_in_South_Africa_in_the_era_of_decentralised_care_A_whole_systems_approach_Research_Question_1_-_describe_IPC_policy_and_systems_context/16438842
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Colvin, Christopher; swartz, alison; Kallon, Idriss; Kielmann, Karina; Macgregor, Hayley (2022). Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context.…
【使用注意】
· 源站最后修改于 2023-06-01，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：Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context
- DOI：10.25375/uct.16438842.v1
- 发布日期：2022-09-14
- 文件数：1 个
- 文件总体积：1.99 MB
- 源站页面：https://zivahub.uct.ac.za/articles/dataset/Infection_prevention_and_control_for_drug-resistant_tuberculosis_in_South_Africa_in_the_era_of_decentralised_care_A_whole_systems_approach_Research_Question_1_-_describe_IPC_policy_and_systems_context/16438842
命令行下载
curl -L -o "RQ1.zip" "https://ndownloader.figshare.com/files/30452115"
文件清单
RQ1.zip（1.99 MB）
文件总体积 1.99 MB（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
Research Question 1 focuses on how policies on infection prevention and control (IPC) for drug-resistant tuberculosis (DR-TB) evolved and have been implemented in the content of primary health care reforms in South Africa. This study focuses on policy actor perspectives on the underlying drivers of TB-IPC policy implementation. It is part of a larger project entitled: Umoya Omuhle - Infection Prevention and Control for Drug-Resistant Tuberculosis in South Africa in the Era of Decentralised Care: A Whole Systems Approach. The data was collected in South Africa, Switzerland, Boston, London from 2018-2020.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.25375/uct.16438842.v1（source: https://zivahub.uct.ac.za/articles/dataset/Infection_prevention_and_control_for_drug-resistant_tuberculosis_in_South_Africa_in_the_era_of_decentralised_care_A_whole_systems_approach_Research_Question_1_-_describe_IPC_policy_and_systems_context/16438842）。
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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