2026年布迪布戈埃博拉病毒暴发数据集
包含2026年布迪布戈埃博拉病毒暴发的流行病学多源数据，以GeoJSON和CSV格式提供，用于研究和建模。
基本信息
资源简介
2026年布迪布戈埃博拉病毒暴发数据集
【数据集背景】
本数据集源站标题为《INRB-UMIE/BDBV2026-Data》。源站首次发布：2026-05-19。
【数据内容】
源站原始描述：Data and scripts for epidemiological analysis of the 2026 Bundibugyo Ebola outbreak # Bundibugyo Ebola virus outbreak 2026 ### Data for the 2026 Bundibugyo Ebolavirus (BDBV) outbreak. This work is led by the Institut National de Recherche Biomédicale (INRB) Kinshasa/One Health Institute for Africa (INOHA) Kinshasa (Dav Ebengo, Placide Mbala-Kingebeni and Tania Bishola), and the Institut National de Santé Publique (INSP) (Pierre Akilimali, Adelard Lofungola). **Collaborating institutions and agen…
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面：https://github.com/INRB-UMIE/BDBV2026-Data
使用许可：MIT。
【使用注意】
· 源站最后修改于 2026-09-21，引用时请注意版本时效。
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/kraemer-lab/Ebola_DRC_2026.git
curl -L -o repo.zip https://github.com/kraemer-lab/Ebola_DRC_2026/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
Bundibugyo Ebola virus outbreak 2026
Data for the 2026 Bundibugyo Ebolavirus (BDBV) outbreak.
This work is led by the Institut National de Recherche Biomédicale (INRB) Kinshasa/One Health Institute for Africa (INOHA) Kinshasa (Dav Ebengo, Placide Mbala-Kingebeni and Tania Bishola), and the Institut National de Santé Publique (INSP) (Pierre Akilimali, Adelard Lofungola).
Collaborating institutions and agencies
- Institut National de Santé Publique (INSP)
- National Institute of Biomedical Research (INRB)
- Africa Centres for Disease Control and Prevention, Addis Ababa, Ethiopia
- World Health Organization, Geneva, Switzerland
- World Health Organization Country Office, Kinshasa, Democratic Republic of the Congo
- Northeastern University, United States
- University of Oxford, United Kingdom
Statement on continuing work and analyses before publication
Please note that the epidemiological data presented here is based on work in progress and should be considered preliminary. Our analyses are ongoing, and a publication communicating our findings is in preparation. Contextual data are publicly accessible; please refer to the original license when re-using these data. If you intend to use the epidemiological data prior to our publication, or have other enquiries, please contact Prof. Placide Mbala-Kingebeni (INRB, DRC), Prof. Dav Ebengo (INRB, DRC), and Pierre Akilimali (INSP).
Last successful build: 5 September 2026, 14:53:28 (UTC) — build/ on main at commit 95cf501 (data snapshot 95cf501, see build/manifest.json).
Data sources
Geospatial
- DRC health zones: Humanitarian Data Exchange (MoH zones de santé shapefile)
Epidemiological
- Epidemiological data (INSP): Institut National de Santé Publique (INSP) SitRep MVE PDF series (
data/insp_sitrep/) — daily case, death, and contact-tracing indicators by health zone manually transcribed from the sitreps - Processed Linelists: Following establishment of an epi data collection pipeline by INSP and INRB, aggregated linelist data will be h
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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