Online Clojure COVID-19 Hackathon

Daniel Slutsky

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Mar 17, 2020, 4:29:53 PM3/17/20

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Hello everybody.

We are organizing an online Clojure hackathon for studying COVID-19 data.

Please mark your preferred dates:

https://twitter.com/scicloj/status/1240010550555353088

Wishing you good health and better times.

Rostislav Svoboda

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Mar 17, 2020, 6:13:39 PM3/17/20

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> We are organizing an online Clojure hackathon for studying COVID-19 data.

I think I'll a bit of a head start :) https://github.com/Bost/corona_cases

Anyway, PRs very much appreciated.

Bost

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Coronavirus disease 2019 (COVID-19) information on Telegram Messenger https://t.me/corona_cases_bot

Rostislav Svoboda

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Mar 17, 2020, 6:54:02 PM3/17/20

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> > We are organizing an online Clojure hackathon for studying COVID-19 data.

>

> I think I'll a bit of a head start :) https://github.com/Bost/corona_cases. PRs appreciated.

FYI my project consumes data from the https://github.com/ExpDev07/coronavirus-tracker-api provided by this web service https://coronavirus-tracker-api.herokuapp.com/all (https://github.com/ExpDev07/coronavirus-tracker-api). Unfortunately this data is always delayed by some 12 to 24 hours.

I'd would be great if somebody could have a look at the https://github.com/CSSEGISandData/COVID-19/issues/558#issuecomment-599426644 , especially at the activities around the Corona Data Scrapper https://github.com/lazd/coronadatascraper/ and create e.g. a web service providing the latest data in the same format as the coronavirus-tracker-api web service.

I don't have any time left to follow the development around the Corona Data Scrapper and had to give up on proving the top latest information down the line of consumption :-(

Thanks

Daniel Slutsky

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Mar 18, 2020, 1:48:01 AM3/18/20

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Bost -- thanks for sharing, wonderful!

We'll suggest this as a project on the Hackathon.

Best wishes,

Daniel

Dave Liepmann

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Mar 18, 2020, 2:42:05 AM3/18/20

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I'm glad to see people coming together to look at coronavirus data.

As a non-epidemiologist who is also exploring covid19 data I found this article [1] a timely reminder that our responsibility is heightened with these projects, and scales as our work is more widely seen. We have to take care that our visualizations and analyses don't misrepresent the situation. This line summed it up for me:

>Just because you can perform a mathematical function on a set of health statistics doesn’t mean you should.

As non-subject-matter-experts this is a time to be humble. Of course we should still look at the data, but we must be careful. I'm particularly skeptical now of any work that assumes that case reports in certain countries (e.g. the US) are within even two orders of magnitude of the ground truth.

[1] https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8