154 results for “topic:2019-ncov”
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse
2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
Systematic dataset of Covid-19 policy, from Oxford University
2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)
2019-nCoV 新冠状病毒 2019-12-01至今国家、省、市三级每日统计数据(支持接口读取)
query stats of infected coronavirus cases
🦠 Interactive dashboard for real-time recording of COVID-19 outbreak in Japan
🦠 Novel Coronavirus (COVID-19) Tracker
📈 Coronavirus (COVID-19) dashboard to show the dynamics of Сoronavirus distribution per country
A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution
【在开发2.x版本,暂时关闭站点!新版大屏beta 版本,全实时数据,交互式大屏,精确到城市级,弹幕来袭】关注2019新型冠状病毒(2019-nCoV),数据可视化感染人群热点图、迁徙扩散轨迹,以提供帮助分析疫情。 愿世界安好。Focus on Wuhan 2019-nCoV, data visualization, to help analyze the epidemic situation. May the world be well.
A global collection of Open Source projects during COVID-19
Informationssammlung zum Thema CoVid-19
疫情数据爬虫,2019新型冠状病毒数据仓库,轨迹数据,同乘数据,报道
Tracking Coronavirus Growth
实时接口获取中国各个城市、省份、国家的新型冠状肺炎(新冠肺炎 / 2019-nCoV / Covid-19)。疫情数据以及整体统计详情,新增美国各州统计、每日疫情数据 API。爬虫实时追踪新冠疫情变化,数据来自丁香园和 covidtracking.com。数据大屏示例:http://ncov.leafcoder.cn/demo/ 项目文档:http://ncov.leafcoder.cn/docs/
Use Google Maps Timeline data to compare with COVID-19 patient history location.
Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures
2020新冠肺炎记忆:报道、非虚构与个人叙述(持续更新) Memory of 2020 nCoV: Media Coverage, Non-fiction Writings, and Individual Narratives (Continuously updating)
An ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. This tool can be used to detect viral infectious diseases, like COVID-19.
中国社会与政治事件时间线展示和新闻事件提交网站 https://git.io/JJOfS
COVID-19 datasets are constructed entirely from primary (government and public agency) sources
nCoV-Map:新型肺炎疫情地图
Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University.
Complexity Science Hub (CSH) Covid-19 Control Strategies List (CCCSL)
新型冠状病毒-实时疫情-数据可视化-React版本
COVID-19 interactive dashboard for the whole world