最小数据集:多病共存的流行率、模式及决定因素

基于2016年南非人口与健康调查的多病共存流行率、模式及决定因素数据集。

Figshare
2025-02-15 更新
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表格multimorbidity analysis
Mimimum Dataset - Prevalence, Patterns, and Determinants of Multimorbidity in a Resource-Limited Setting: Insights from a Nationally Representative Survey

基本信息

模态
表格
大小
0.000278856 GB
许可
CC BY 4.0
创建/更新时间
2025-02-15
版本
v1

资源简介

最小数据集:多病共存的流行率、模式及决定因素

【数据集背景】

本数据集源站标题为《Mimimum Dataset - Prevalence, Patterns, and Determinants of Multimorbidity in a Resource-Limited Setting: Insights from a Nationally Representative Survey》。源站首次发布:2025-02-15。

【数据内容】

源站原始描述:South Africa Demographic and Health Survey (DHS) (SADHS) 2016 is a nationally representative cross-sectional household survey that provides information on demographic and health indicators. The DHS programme has assisted with over 350 nationally representative household surveys across 90 countries since 1984[18]. Surveys are usually conducted every five years per country, with topics tailored to relevant population health issues. The DHS is an important source of data for policy making, monitori…

【数据结构与技术规格】

文件数 1 个,合计 278.86 KB。multilevel_data.dta:application/octet-stream,278.86 KB。数据集 DOI:10.6084/m9.figshare.28424369.v1。

【主题与分类】

源站学科分类:Health promotion、Social determinants of health。主题标签:multimorbidity analysis。

【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://figshare.com/articles/dataset/Mimimum_Dataset_-_b_Prevalence_Patterns_and_Determinants_of_Multimorbidity_in_a_Resource-Limited_Setting_Insights_from_a_Nationally_Representative_Survey_b_/28424369

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

规范引用:Uthman, Olalekan (2025). Mimimum Dataset - Prevalence, Patterns, and Determinants of Multimorbidity in a Resource-Limited Setting: Insights from a Nationally Representative Survey. figshare. Dataset

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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。

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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。

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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 "multilevel_data.dta" "https://ndownloader.figshare.com/files/52382561"

文件清单

  • multilevel_data.dta(278.86 KB)

文件总体积 278.86 KB(源站 API 实测)。

数据说明

South Africa Demographic and Health Survey (DHS) (SADHS) 2016 is a nationally representative cross-sectional household survey that provides information on demographic and health indicators. The DHS programme has assisted with over 350 nationally representative household surveys across 90 countries since 1984[18]. Surveys are usually conducted every five years per country, with topics tailored to relevant population health issues. The DHS is an important source of data for policy making, monitoring and evaluation in many LMICs. The SADHS 2016 followed a stratified two-stage sample design. Seven hundred and fifty primary sampling units (PSUs) were selected from the 26 sampling strata, based on urban, traditional and rural areas for each of the nine provinces in South Africa (there was no strata for traditional areas in Western Cape). A fixed number of 20 dwelling units (DUs) were randomly selected from each of the PSUs. This design permits estimates of key variables for the country, for each of the nine provinces, and of urban, rural and traditional areas. Data collection took place over six months, from 27 June 2016 to 4 November 2016.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28424369.v1(source: https://figshare.com/articles/dataset/Mimimum_Dataset_-_b_Prevalence_Patterns_and_Determinants_of_Multimorbidity_in_a_Resource-Limited_Setting_Insights_from_a_Nationally_Representative_Survey_b_/28424369)。

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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