肯尼亚糖尿病服务可用性与准备情况调查数据集
肯尼亚598个公共卫生设施糖尿病服务可用性与准备情况的横断面调查数据集。

基本信息
资源简介
肯尼亚糖尿病服务可用性与准备情况调查数据集
【数据集背景】
本数据集源站标题为《Public facilities visited & assessed.》。源站首次发布:2023-09-27。
【数据内容】
源站原始描述:Diabetes is a major cause of morbidity and mortality worldwide yet preventable. Complications of undetected and untreated diabetes result in serious human suffering and disability. It negatively impacts on individual’s social economic status threatening economic prosperity. There is a scarcity of data on health system diabetes service readiness and availability in Kenya which necessitated an investigation into the specific availability and readiness of diabetes services. A cross sectional descri…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。数据集 DOI:10.1371/journal.pgph.0002292.t002。
【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:least carder available、individual &# 8217、ethical standards outlined、73 %; 95、64 %; 95、46 %; 95、598 facilities visited、xlink "> diabetes、untreated diabetes result、serious human suffering。
【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/Public_facilities_visited_assessed_/24206215
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Onteri, Stephen N.; Kariuki, James; Mathu, David; Wangui, Antony M.; Magige, Lucy; Mutai, Joseph; et al. (2023). Public facilities visited & assessed.. 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:Public facilities visited & assessed.
- DOI:10.1371/journal.pgph.0002292.t002
- 发布日期:2023-09-27
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Public_facilities_visited_assessed_/24206215
命令行下载
curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/42483646"
文件清单
Table 2.xls(5.63 KB)
文件总体积 5.63 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
Diabetes is a major cause of morbidity and mortality worldwide yet preventable. Complications of undetected and untreated diabetes result in serious human suffering and disability. It negatively impacts on individual’s social economic status threatening economic prosperity. There is a scarcity of data on health system diabetes service readiness and availability in Kenya which necessitated an investigation into the specific availability and readiness of diabetes services. A cross sectional descriptive study was carried out using the Kenya service availability and readiness mapping tool in 598 randomly selected public health facilities in 12 purposively selected counties. Ethical standards outlined in the 1964 Declaration of Helsinki and its later amendments were upheld throughout the study. Health facilities were classified into primary and secondary level facilities prior to statistical analysis using IBM SPSS version 25. Exploratory data analysis techniques were employed to uncover the distribution structure of continuous study variables. For categorical variables, descriptive statistics in terms of proportions, frequency distributions and percentages were used. Of the 598 facilities visited, 83.3% were classified as primary while 16.6% as secondary. A variation in specific diabetes service availability and readiness was depicted in the 12 counties and between primary and secondary level facilities. Human resource for health reported a low mean availability (46%; 95% CI 44%-48%) with any NCDs specialist and nutritionist the least carder available. Basic equipment and diagnostic capacity reported a fairly high mean readiness (73%; 95% CI 71%-75%) and (64%; 95%CI 60%-68%) respectively. Generally, primary health facilities had low diabetic specific service availability and readiness compared to secondary facilities: capacity to cope with diabetes increased as the level of care ascended to higher levels. Significant gaps were identified in overall availability and readiness in both primary and secondary levels facilities particularly in terms of human resource for health specifically nutrition and laboratory profession.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pgph.0002292.t002(source: https://plos.figshare.com/articles/dataset/Public_facilities_visited_assessed_/24206215)。
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