2026年Bundibugyo埃博拉病毒疫情数据集
2026年Bundibugyo埃博拉病毒疫情数据集，包含流行病学分析所需的数据和脚本。
基本信息
资源简介
该数据集包含2026年Bundibugyo埃博拉病毒（BDBV）疫情的相关数据，用于流行病学分析，包括数据文件和脚本。
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
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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/INRB-UMIE/Ebola_DRC_2026.git
curl -L -o repo.zip https://github.com/INRB-UMIE/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))
精度瓶颈？数据缺失？
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