全球健康通用数据集
收集全球南方健康问题相关数据集,涵盖WHO数据及COVID-19、HIV/AIDS、疟疾、结核病等。

基本信息
资源简介
全球健康通用数据集
【数据内容】
源站原始描述:Aggregating datasets relevant to healthcare issues in the Global South. - chinasatokolo/DatasetsforGlobalHealth
【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://github.com/chinasaokolo/DatasetsforGlobalHealth
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
git clone https://github.com/chinasaokolo/DatasetsforGlobalHealth.git
curl -L -o repo.zip https://github.com/chinasaokolo/DatasetsforGlobalHealth/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录(使用方式)
Datasets for Global Health
Aggregating datasets relevant to healthcare issues in the Global South.
Datasets
Here are a list of intriguing datasets I’'ve found so far:
General Global Health
The World Health Organization (WHO) has a great list of datasets on maternal mortality, communicable diseases, mental heath, subtance abuse, health financing and much more! Check out their website along with the others I have listed below:
- WHO Global Health Observatory
- Global Health Data Exchange
- Health Intelligence Meta list of data sources
- African Health Stats
- Pan American Health Organization (PAHO) Regional Health Observatory
COVID-19
HIV/AIDS
Malaria, TB
Datasets I’'m working on
Like a lot of other researchers nowadays, I am interested in collecting data about COVID-19! Some of my current work with datasets revolves around this. Also, as a computer vision researcher, it’‘s somewhat hard to find image or video datasets. I’'m curating one at the moment for respiratory disease diagnosis, and definitely hope to share it in the future!
- mHealth applications deployed throughout the Global South
- COVID-19 economic relief policies in African countries
- Social distancing intervention dates in Latin America/Southeast Asia
- Social distancing intervention dates and cases per week in African countries
- …still thinking of more ideas!
Collaborations
I believe there’'s a lot to learn from health data in the Global South and effective collection is a good first step. Generally speaking, I am interested in surveying, deploying, and integrating mHealth technologies in healthcare systems around the globe. If you are working on similar projects or share the same interests, I would love to collaborate. Please reach out! My contact details are on my website: cs.cornell.edu/~chinasa
数据加载示例(表格/文本类)
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
数据缺失?
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