约翰霍普金斯COVID-19全球时间序列数据

Name: 约翰霍普金斯COVID-19全球时间序列数据
Creator: Johns Hopkins University CSSE
License: CC BY 4.0

JHU CSSE COVID-19数据集提供全球疫情时间序列数据，包括确诊、死亡与康复统计，广泛用于疫情建模、传播分析与政策评估研究。

Johns Hopkins University CSSE

GitHub

2023-01-01 更新

时序预测

基本信息

模态

时序

任务类型

预测

许可

CC BY 4.0

创建/更新时间

2023-01-01

资源简介

该数据集由约翰霍普金斯大学系统科学与工程中心维护，持续更新全球COVID-19确诊、死亡与康复病例时间序列数据，是疫情分析与预测研究的重要基础数据源。

原始链接

https://github.com/CSSEGISandData/COVID-19

访问原始数据

官方服务

如需原始数据获取支持或标注服务，请联系我们。

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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/CSSEGISandData/COVID-19.git

curl -L -o repo.zip https://github.com/CSSEGISandData/COVID-19/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录（使用方式）

COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University

On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources:

Global: World Health Organization (WHO)
U.S.: U.S. Centers for Disease Control and Prevention (CDC)
For more information, visit the Johns Hopkins Coronavirus Resource Center.

This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).
Visual Dashboard (desktop):
https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6
Visual Dashboard (mobile):
http://www.arcgis.com/apps/opsdashboard/index.html#/85320e2ea5424dfaaa75ae62e5c06e61
Please cite our Lancet Article for any use of this data in a publication:
An interactive web-based dashboard to track COVID-19 in real time
The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned
Provided by Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE):
https://systems.jhu.edu/
DONATE to the CSSE dashboard team: https://engineering.jhu.edu/covid-19/support-the-csse-covid-19-dashboard-team/

DATA SOURCES:
This list includes a complete list of all sources ever used in the data set, since January 21, 2020. Some sources listed here (e.g. ECDC, US CDC, BNO News) are not currently relied upon as a source of data.

Aggregated data sources:
- World Health Organization (WHO): https://www.who.int/
- European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases
- DXY.cn. Pneumonia. 2020. https://ncov.dxy.cn/ncovh5/view/pneumonia?from=dxy&source=&link=&share=
- QQ News https://news.qq.com/zt2020/page/feiya

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))