A Collective list of the active Github repositories working towards tracking and analyzing the novel coronavirus.
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Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE | 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).🔥🔥🔥🔥
Active Project Link : https://systems.jhu.edu/research/public-health/ncov/
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Memory of 2020 nCoV: Media Coverage, Non-fiction Writings | Contains media reports, non-fiction works and personal narratives of 2020 new coronavirus pneumonia (WHO named COVID-19, and the Chinese Health Commission once named Novel Coronavirus Pneumonia, NCP). 🔥🔥🔥
Active Project Link : https://2019ncovmemory.github.io/nCovMemory/
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Coronavirus (COVID-19) Tracker | Novel Coronavirus (COVID-19) | TrackerDashboard to track the spread of the coronavirus, based on three data sources, built with shinyMobile and echarts4r
Active Project Link : https://coronavirus.john-coene.com/
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Nextstrain build for novel coronavirus (nCoV) | The nCoV genomes were generously shared via GISAID. We gratefully acknowledge the Authors, Originating and Submitting laboratories of the genetic sequence and metadata made available through GISAID on which this research is based.
Active Project Link : https://nextstrain.org/ncov
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Query stats of infected coronavirus cases | Query information of Wuhan coronavirus infected stats.
Active Project Link : https://guangchuangyu.github.io/nCov2019/
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Coronavirus tracker app for iOS & macOS with maps & charts | The app is available for personal/non-commercial use. It's not allowed to publish, distribute, or use the app in a commercial way.
Active Project Link : https://samabox.com/CoronaTracker/
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Wuhan Coronavirus Data | This public repository archives data over time from various public sources on the web. Data is presented as timestamped CSV files, for maximum compatibility. It is hoped that this data will be useful to those producing visualizations or analyses. Code is included.
Active Project Link : NA
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Covidify - corona virus report generation for python | This repo is for analysis on the corona virus / covid-19 that will extract the latest data and generate reports. This repo will be updated daily
Active Project Link : NA
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A simple and fast (< 200ms) API for tracking the global coronavirus | This is a fast (< 200ms) and basic API for tracking development of the new coronavirus (COVID-19, SARS-CoV-2). It's written in python using 🍼 Flask.
Active Project Link : https://coronavirus-tracker-api.herokuapp.com/all
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Folding@home COVID-19 efforts | This repository will contain all input files and generated datasets for the Folding@home efforts to better understand how the SARS-CoV-2 virus that causes COVID-19 can be targeted with small molecule and antibody therapeutics. This repository will be continuously updated to share results that are being generated on Folding@home. You can follow along with news updates on the Folding@home blog and Folding@home twitter feed.
Active Project Link : http://foldingathome.org/
Coronaviruses are a group of related viruses that cause diseases in mammals and birds. In humans, coronaviruses cause respiratory tract infections that are typically mild, such as some cases of the common cold (among other possible causes, predominantly rhinoviruses), though rarer forms can be lethal, such as SARS, MERS, and COVID-19. Symptoms vary in other species: in chickens, they cause an upper respiratory tract disease, while in cows and pigs they cause diarrhea. There are yet to be vaccines or antiviral drugs to prevent or treat human coronavirus infections.
Coronaviruses constitute the subfamily Orthocoronavirinae, in the family Coronaviridae, order Nidovirales, and realm Riboviria. They are enveloped viruses with a positive-sense single-stranded RNA genome and a nucleocapsid of helical symmetry. The genome size of coronaviruses ranges from approximately 27 to 34 kilobases, the largest among known RNA viruses. The name coronavirus is derived from the Latin corona, meaning "crown" or "halo", which refers to the characteristic appearance reminiscent of a crown or a solar corona around the virions (virus particles) when viewed under two-dimensional transmission electron microscopy, due to the surface covering in club-shaped protein spikes. Wiki Source
Cases across the globe: https://experience.arcgis.com/experience/685d0ace521648f8a5beeeee1b9125cd
