A resource such as this project aggregator, how should it be stored?

Upcoming:

• https://www.en.versusvirus.ch/ #versusvirus (starts 3rd April)
• https://www.hackthecrisis.se/ (3-6 april)
• https://www.facebook.com/groups/485526048998480 #StudentsAgainstCorona (not sure about dates)

Past:

• https://covid-global-hackathon.devpost.com/ #BuildforCOVID19 (submission deadline is today)
• https://www.codevscovid19.org/ #codevscovid19 (submission deadline today)
• https://www.deutschland.de/en/topic/knowledge/hackathon-on-corona-wirvsvirus-brings-solutions #WirvsVirus (20-22 march)

There is a few applications missing from the list such as
https://worldcoronavirus.org/
and
https://www.worldometers.info/coronavirus/

The 2 main applications for the coronavirus.

Hey,

We both have to same intention. To Fight Against Coronavirus with Code.
Can you guys link my project to your Repo?
Could you guys promote my repo as well?
I feel there are many people working on code to fight COVID-19.
https://github.com/NotMoni/code-against-coronavirus

I'm not sure where to put this forum.
It is for 3d printing files, locations, tips, etc for medical supplies.

But NOT all are truly 'open source', in related article what 1 city was printing 'remains covered by copyright and patents. Hospitals may have a right to produce these parts in an emergency'. So not really 'open source', per se....
But either way, a great resource.

https://www.3dprintingmedia.network/3d-printing-unite-for-covid-19/

https://github.com/folkehelseinstituttet/surveillance_data

Hi I have a similar list.

https://weileizeng.github.io/Open-Source-COVID-19/

My list start from china-based project, which is very comprehensive. The world page just start recently, and I classify it by areas/countries. I like your classification as well. Looking forward for collaborations!

I have been working for weeks, and now can only maintain the list passively now, waiting for submissions. It would be great if we can just merge our list together, and I can add your way of classification in a separate page. How about that?

https://github.com/shaunsaker/covid-19-south-africa-app

Notifies users of the latest confirmed cases and displays the stats (confirmed cases, recoveries, tests and deaths) in a graph view.

Thanks for your list :)

Industrial : Joins
Location: Diamond 3map
Chair: Benny Kimelfeld

pdftxt
Joins on Encoded and Partitioned Data
Jae-Gil Lee* (KAIST)*,Gopi Attaluri (IBM Software Group),Ronald Barber (IBM Almaden Research Center),Naresh Chainani (IBM Software Group),Oliver Draese (IBM Software Group),Frederick Ho (IBM Informix),Stratos Idreos (Harvard University),Min-Soo Kim (DGIST),Sam Lightstone (IBM Software Group),Guy Lohman (IBM Almaden Research Center),Konstantinos Morfonios (Oracle),Keshava Murthy (IBM Informix),Ippokratis Pandis (IBM Almaden),Lin Qiao (LinkedIn),Vijayshankar Raman (IBM Almaden Research Center),Vincent Kulandai Samy (IBM Almaden Research Center),Richard Sidle (IBM Almaden Research Center),Knut Stolze (IBM Software Group),Liping Zhang (IBM Software Group)

Compression has historically been used to reduce the cost of storage, I/Os from that storage, and buffer pool utilization, at the expense of the CPU required to decompress data every time it is queried. However, significant additional CPU efficiencies can be achieved by deferring decompression as late in query processing as possible and performing query processing operations directly on the still-compressed data. In this paper, we investigate the benefits and challenges of performing joins on compressed (or encoded) data. We demonstrate the benefit of independently optimizing the compression scheme of each join column, even though join predicates relating values from multiple columns may require translation of the encoding of one join column into the encoding of the other. We also show the benefit of compressing "payload" data other than the join columns "on the fly," to minimize the size of hash tables used in the join. By partitioning the domain of each column and defining separate dictionaries for each partition, we can achieve even better overall compression as well as increased flexibility in dealing with new values introduced by updates. Instead of decompressing both join columns participating in a join to resolve their different compression schemes, our system performs a light-weight mapping of only qualifying rows from one of the join columns to the encoding space of the other at run time. Consequently, join predicates can be applied directly on the compressed data. We call this procedure encoding translation. Two alternatives of encoding translation are developed and compared in the paper. We provide a comprehensive evaluation of these alternatives using product implementations of each on the TPC-H data set, and demonstrate that performing joins on encoded and partitioned data achieves both superior performance and excellent compression.

https://github.com/ahmednafies/covid

it has around 68,000 downloads so far
and here is the documentation as well.

https://ahmednafies.github.io/covid/

Dear all, I just came across this amazing COVID-19 resource page. Thank you for putting this together!

I have my own data tracker here that collects data at the NUTS regional level for Europe:
https://github.com/asjadnaqvi/COVID19-European-Regional-Tracker

The data is also published now:
https://www.nature.com/articles/s41597-021-00950-7

It will be great if it can be added to the list as well.

Best wishes,
Asjad

Hi, I created this website http://covid-19-coronavirus.tools where dashboards and datasets, related to the coronavirus, will be collected. It's a kind of awesome-coronavirus but with a voting system and filter by country. I think and i hope it will be useful.

Github repository of the React website: https://github.com/Biuni/covid-19

Please add this repos to API

• https://github.com/NovelCOVID/API
• https://github.com/mathdroid/covid-19-api

This to data and statistics

• https://github.com/opencovid19-fr/data

iOS App

• https://github.com/MhdHejazi/CoronaTracker
• https://github.com/julianschiavo/Covidcheck
• https://github.com/alfianlosari/CoronaVirusTrackerSwiftUI

Given the significance of this worldwide pandemic I would suggest renaming and removing any words referencing coronavirus as awesome. It is in very bad taste - this is a serious issue.

https://www.coronainusa.com/

for usa people to find cases nearby

Can you add the Brasil.IO API for CoronaCases and my app?
That API is obtaining city cases by day.

API URL:
https://github.com/turicas/covid19-br

Web App URL:
https://endoedgar.github.io/covid19-monitorbr/

you can use dynamic star counts instead of static one. e.g., for neherlab/covid19_scenarios repository you can put this

[![stars](https://img.shields.io/github/stars/neherlab/covid19_scenarios?label=%F0%9F%8C%9F)](https://GitHub.com/neherlab/covid19_scenarios)

e.g.,

🌟	Repository	Description
	@neherlab/covid19_scenarios	Models of COVID-19 outbreak trajectories and hospital demand

more info

Please add a license preferably MIT License.

• Additional topic labels for this gh project:
  • coronavirus
  • covid-19
  • covid19
  • 2019-ncov
  • sars-cov-2
  • epidemiology
• The README could link to said labels (and encourage use of said labels) as well
  • https://github.com/topics/coronavirus
  • https://github.com/topics/covid-19
  • https://github.com/topics/covid19
  • https://github.com/topics/2019-ncov
  • https://github.com/topics/sars-cov-2
  • https://github.com/topics/epidemiology
• Maybe link to [Twitter,] hashtags, too?
  • https://twitter.com/search?q=coronavirus
  • https://twitter.com/search?q=covid19
  • https://twitter.com/search?q=2019-ncov
  • https://twitter.com/search?q=sars-cov-2
  • https://twitter.com/search?q=epidemiology

I'd like to add FOSS Responders. It's a site to connect devs or projects that have been affected by Covid-19 with funds to help them out.

I can't figure out the right place to put this, though. It's kind of a meta-project. Any ideas?

Currently the data source for Covid19 stats for the Indian state Kerala, is through pdf documents released every day. This is a novel attempt at automated(no manual entry) data collection from every day pdf releases and making it available through an open-API for developers in JSON.

https://github.com/yedhink/covid19-kerala-api

Due to various types of testing ranging from RT-PCR to Antibody testing. There is also new types of efficient testing called Pool testing with which we can test more people with fewer tests.

Similarly there are various types of vaccines and efficacy.

This table will contain : Url's to different types of tests and vaccines based on company producing them.

Here’s one.

https://masques-barrieres.afnor.org/home/telechargement?culture=en-GB

The CI pipelines failed due to an authentication error.

$ node src/index.js
/home/travis/build/soroushchehresa/awesome-coronavirus/node_modules/github/lib/index.js:334
                throw new Error("OAuth2 authentication requires a token or key & secret to be set");
                ^
Error: OAuth2 authentication requires a token or key & secret to be set
    at module.exports.authenticate (/home/travis/build/soroushchehresa/awesome-coronavirus/node_modules/github/lib/index.js:334:23)
    at Object.<anonymous> (/home/travis/build/soroushchehresa/awesome-coronavirus/src/index.js:33:8)
    at Module._compile (internal/modules/cjs/loader.js:778:30)
    at Object.Module._extensions..js (internal/modules/cjs/loader.js:789:10)
    at Module.load (internal/modules/cjs/loader.js:653:32)
    at tryModuleLoad (internal/modules/cjs/loader.js:593:12)
    at Function.Module._load (internal/modules/cjs/loader.js:585:3)
    at Function.Module.runMain (internal/modules/cjs/loader.js:831:12)
    at startup (internal/bootstrap/node.js:283:19)
    at bootstrapNodeJSCore (internal/bootstrap/node.js:623:3)
error Command failed with exit code 1.
info Visit https://yarnpkg.com/en/docs/cli/run for documentation about this command.
The command "yarn run build" exited with 1.
cache.2
store build cache

Build-Log:
https://travis-ci.org/github/soroushchehresa/awesome-coronavirus/builds/664355725

https://www.coursera.org/learn/covid19-epidemiology

There is a similar repository at https://github.com/adamdriscoll/awesome-covid19-resources

Can we rename this repository to something other than awesome coronavirus.

Let's be honest here, the repo is an awesome resource link, true, but this virus thing is not.
The term awesome does not necessarily needs to be in an awesome-list.

Here are a few examples of awesome lists without the term awesome to support the motion.

• https://github.com/bolshchikov/js-must-watch
• https://github.com/maxogden/maintenance-modules
• https://github.com/lvwzhen/tools
• https://github.com/edobashira/speech-language-processing

PS: @maintainers I could just be saltly quarantined for so long. Thus added that discussion tag.

It can be accessed from this link: https://corona-tracker-2020.netlify.com/ and source code of that project is available here: https://github.com/akashrajum7/corona-tracker.

I would love for it to be added to the list.

Thank you.

An e-learning environment for schools that have closed during the COVID-19 pandemic developed by Rohan Shetty, Wilson Wang, and Matthews Ma

https://class4corona.com

Industrial : Joins
Location: Diamond 3map
Chair: Benny Kimelfeld

pdftxt
Joins on Encoded and Partitioned Data
Jae-Gil Lee* (KAIST)*,Gopi Attaluri (IBM Software Group),Ronald Barber (IBM Almaden Research Center),Naresh Chainani (IBM Software Group),Oliver Draese (IBM Software Group),Frederick Ho (IBM Informix),Stratos Idreos (Harvard University),Min-Soo Kim (DGIST),Sam Lightstone (IBM Software Group),Guy Lohman (IBM Almaden Research Center),Konstantinos Morfonios (Oracle),Keshava Murthy (IBM Informix),Ippokratis Pandis (IBM Almaden),Lin Qiao (LinkedIn),Vijayshankar Raman (IBM Almaden Research Center),Vincent Kulandai Samy (IBM Almaden Research Center),Richard Sidle (IBM Almaden Research Center),Knut Stolze (IBM Software Group),Liping Zhang (IBM Software Group)

Compression has historically been used to reduce the cost of storage, I/Os from that storage, and buffer pool utilization, at the expense of the CPU required to decompress data every time it is queried. However, significant additional CPU efficiencies can be achieved by deferring decompression as late in query processing as possible and performing query processing operations directly on the still-compressed data. In this paper, we investigate the benefits and challenges of performing joins on compressed (or encoded) data. We demonstrate the benefit of independently optimizing the compression scheme of each join column, even though join predicates relating values from multiple columns may require translation of the encoding of one join column into the encoding of the other. We also show the benefit of compressing "payload" data other than the join columns "on the fly," to minimize the size of hash tables used in the join. By partitioning the domain of each column and defining separate dictionaries for each partition, we can achieve even better overall compression as well as increased flexibility in dealing with new values introduced by updates. Instead of decompressing both join columns participating in a join to resolve their different compression schemes, our system performs a light-weight mapping of only qualifying rows from one of the join columns to the encoding space of the other at run time. Consequently, join predicates can be applied directly on the compressed data. We call this procedure encoding translation. Two alternatives of encoding translation are developed and compared in the paper. We provide a comprehensive evaluation of these alternatives using product implementations of each on the TPC-H data set, and demonstrate that performing joins on encoded and partitioned data achieves both superior performance and excellent compression.

The covid-19 topic has a good deal of eyes on it currently and seems to be the canonical topic for covid-19 and coronavirus related projects.

More appropriate name would be awful-coronavirus.

A tool to models COVID-19 outbreak trajectory and hospital demand
https://neherlab.org/covid19/
https://github.com/neherlab/covid19_scenarios
found here https://twitter.com/natfriedman/status/1240095856964984833

Hi friends

First of all ...
I greatly appreciate the effort you are making to make the publications of the different api that provide information from the COVID19

Several days ago, I created an api that you might be interested in and added to the api list, for the benefit of devs.

URL COVID19 API

You probably want to know about this, probably want to post it too.
https://github.com/github/covid-19-repo-data

Hey, I think that would also be in the list of datasets. Turkey does not shade the data through an api, this repo crawling data from official goverment website and update itself periodically.
https://github.com/ozanerturk/covid19-turkey-api

http://2019ncov.chinacdc.cn/2019-nCoV/ is the china cdc own website to report coronaivrus in china. I dont know if there is a english version but its official data.

If you could put this in CLI or packages that would be great 💯

https://github.com/AaronWard/covidify

The opensource section not showing any result, I guess there is an issue while building the project?
I tried to rebuild it but had no luck. 😥

https://pypi.org/project/pandemic/

Alert COVID-19 is a small multiplatform tool written in Golang to help keep you informed about the current situation of COVID-19 in your region, while you stay safe at home.

https://github.com/renanbastos93/alertcovid19

(I'm not set up for actually working with repositories at the moment and won't be for the foreseeable future, so I'm opening an issue instead. Apologies if I'm wasting someone's time.)

There are various volunteer distributed computing projects that are working on COVID-19 research. Folding@home is mentioned currently, but only their Github data repository is linked and not their home page.

Below are the distributed computing projects I know of that are participating in COVID-19 research:

• DreamLab, a smartphone/ARM project. Available for Android and iOS.
• Folding@home. Peer-reviewed results and papers produced by the project can be found here.
• Rosetta@home
• World Community Grid with their OpenPandemics - COVID-19 project.

DreamLab is the only mobile app. The rest are multi-platform desktop (x86) programs.

https://adsp.ai/demos/coronavirus-england/

Updated daily

Hi,
Thanks for this great library of projects.
We did a website during previous hackathons that can detect COVID-19 from POCUS images.
I think it would be great if you can add it to the "Web applications" section.

Here is the link :
https://pocovidscreen.org/

Here is the name :
PocovidScreen

Here is the description :
An AI tool for early screening of COVID-19 & pneumonia from ultrasound recordings (POCUS)

https://github.com/jmcastagnetto/covid-19-peru-data