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
该数据集是一个收集全球南方健康问题相关数据集的仓库,包含世界卫生组织关于母婴死亡率、传染病、心理健康、药物滥用、卫生融资等数据,以及COVID-19、HIV/AIDS、疟疾、结核病等特定领域的数据集。
下载信息
注册下载
Tips: 该数据集需要在对应的数据源网站注册通过后,才能进行数据下载,注册有对应要求,或者需要收费。
暂未开放公开下载
Tips: 该数据集属于公开下载,应该可以免费公开下载。
免登录有偿下载
Tips: 该数据集 Qianfanghub 可以协助提供有偿下载服务,注意,服务不针对数据相关产权,只是技术服务费。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放千方医数集,医疗数据集部分,是为社区服务的公开医疗数据集搜索引擎,并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求,可以和客服联系,或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
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))
精度瓶颈?数据缺失?
当前公开数据无法满足您的算法精度?千方提供针对 感染性疾病 的高质量、多模态真实临床数据定制解决方案。




