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The Wayback Machine - https://web.archive.org/web/20220725120221/https://github.com/topics/2019-ncov
Here are
164 public repositories
matching this topic...
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
Updated
Jul 24, 2022
Python
🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)
Updated
Jul 24, 2022
TypeScript
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
Updated
Jul 25, 2022
JavaScript
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)
Updated
Dec 8, 2020
Python
Covidify - corona virus report and dataset generator for python 📈 [no longer being updated]
Updated
Apr 22, 2021
Jupyter Notebook
query stats of infected coronavirus cases
🦠 Interactive dashboard for real-time recording of COVID-19 outbreak in Japan
an interactive, animated COVID-19 coronavirus map to track the outbreak over time by country and by region for selected countries
Updated
Jul 25, 2022
JavaScript
🦠 Novel Coronavirus (COVID-19) Tracker
📈 Coronavirus (COVID-19) dashboard to show the dynamics of Сoronavirus distribution per country
Updated
Aug 7, 2021
JavaScript
A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution
Informationssammlung zum Thema CoVid-19
A global collection of Open Source projects during COVID-19
Updated
Jul 22, 2022
Python
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
Updated
Feb 22, 2020
Python
Tracking Coronavirus Growth
Updated
Apr 7, 2020
Jupyter Notebook
Use Google Maps Timeline data to compare with COVID-19 patient history location.
Updated
Jul 24, 2022
JavaScript
Updated
Jul 6, 2022
Python
Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures
Updated
Jul 20, 2022
Jupyter Notebook
Updated
Jul 25, 2022
HTML
COVID-19 datasets are constructed entirely from primary (government and public agency) sources
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.
Modelling of the nCoV-2019 outbreak in Wuhan, China, by Jon Read, Jess Bridgen, and Chris Jewell at Lancaster University.
新型冠状病毒-实时疫情-数据可视化-React版本
Updated
Jul 20, 2022
JavaScript
COVID-19 interactive dashboard for the whole world
Updated
Jul 25, 2022
JavaScript
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