Difference between revisions of "Events/HackCovid/2020-03-28"
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− | HackCovid-Leman<br> | + | <big>'''HackCovid-Leman''</big>'<br> |
− | date: Saturday 28 March 2020<br> | + | '''date:''' Saturday 28 March 2020<br> |
− | where: ONLINE from 10AM --> https://tinyurl.com/hackcovid Zoom:957 309 096<br> | + | '''where:''' ONLINE from 10AM --> https://tinyurl.com/hackcovid Zoom:957 309 096<br> |
− | from 10AM to 5PM HACKATHON<br> | + | '''from:''' 10AM to 5PM HACKATHON<br> |
− | register here if you haven't: https://www.eventbrite.com/e/hackcovid-leman-tickets-94729014031<br> | + | '''register:''' here if you haven't: https://www.eventbrite.com/e/hackcovid-leman-tickets-94729014031<br> |
+ | '''whatsapp group''' https://tinyurl.com/hackcovid-whatsapp | ||
''Everybody can contribute by editing the document.<br> | ''Everybody can contribute by editing the document.<br> | ||
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'''Spanish''' https://docs.google.com/forms/d/e/1FAIpQLSc-S9PuJyBLsBipvZdqeVBKC6rH-MdxGWbfUqO1tEkfaXhUiA/viewform?usp=pp_url<br> | '''Spanish''' https://docs.google.com/forms/d/e/1FAIpQLSc-S9PuJyBLsBipvZdqeVBKC6rH-MdxGWbfUqO1tEkfaXhUiA/viewform?usp=pp_url<br> | ||
+ | '''German''' https://docs.google.com/forms/d/e/1FAIpQLSernWpiNwYz-s9kUrUtsfXo1YJU4tvlmDtvuA1YjERt3JH7Ug/viewform?usp=pp_url<br> | ||
+ | '''Italian''' https://docs.google.com/forms/d/e/1FAIpQLSd8gqx6JtUKZGi2dnBdDUqDlhvBb1n9xOnXRCYC9ob21Sv_DA/viewform<br> | ||
==Goals== | ==Goals== | ||
Line 31: | Line 34: | ||
'''1.Introduction''' by [[Paul-Olivier Dehaye]]<br> | '''1.Introduction''' by [[Paul-Olivier Dehaye]]<br> | ||
+ | [https://tinyurl.com/hackCOVID-slides POD Presentation] | ||
+ | |||
+ | [https://tinyurl.com/COVID-Miles YT video Anthropology of SARSCoV and Research into SARS CoV2 COVID19 HCoV19] | ||
+ | |||
+ | Oxford article [[Item:Q4160| '':Quantifying dynamics of SARS-CoV-2 transmission suggests that epidemic control and avoidance is feasible through instantaneous digital contact tracing '']] | ||
'''2.SHORT TALKS''' | '''2.SHORT TALKS''' | ||
Line 59: | Line 67: | ||
== Working groups == | == Working groups == | ||
+ | You can access the form to submit challenges for that Swiss hackathon here: | ||
+ | https://docs.google.com/forms/d/e/1FAIpQLSfLYrHhlUdhJ_PoECAeYZazTd_zGa3KqE3TrItOWZhLnEC02A/viewform | ||
+ | |||
<br> | <br> | ||
− | '''[[Events/HackCovid/2020-03-28/Group1|Group 1]]: | + | '''[[Events/HackCovid/2020-03-28/Group1|Group 1]]: Data protection .Proportionality?''' <br> |
− | informed consent | + | Participants: [[Paul-Olivier Dehaye]], Jean Rossiaud, John W ...<br> |
+ | working document:https://tinyurl.com/hackcovid-group1<br> | ||
+ | informed consent<br> | ||
data protection<br> | data protection<br> | ||
privacy<br> | privacy<br> | ||
Line 70: | Line 83: | ||
balancing tests<br> | balancing tests<br> | ||
− | '''[[Events/HackCovid/2020-03-28/Group2|Group 2]]: | + | '''[[Events/HackCovid/2020-03-28/Group2|Group 2]]: Data collection- Prototyping'''<br> |
− | crowdsourcing | + | Participants: Iain Henderson, Gianfranco, ..<br> |
+ | '''technical angle''' | ||
+ | JNLC protocol https://protocol.jlinc.org<br> | ||
+ | crowdsourcing <br> | ||
what data to collect<br> | what data to collect<br> | ||
how much to collect<br> | how much to collect<br> | ||
Line 80: | Line 96: | ||
tools, scripts for automatic collection<br> | tools, scripts for automatic collection<br> | ||
see: Crowdsourced data collection: what to get? <br> | see: Crowdsourced data collection: what to get? <br> | ||
+ | ''Proposal for next Hackathon VersusVirus([http://www.versusvirus.ch www.versusvirus.ch]) for group 2'' | ||
+ | ''Prepopulate the Common using Data Excellence Management Systems and AI with existing DEMS toolset. The goal is to have fast and widespread adoption of the JLINC <br> | ||
+ | ''''Protocol for Data Sharing to build the Common with'' <br> | ||
+ | ''minimal effort:''<br> | ||
+ | ''- Data access'' <br> | ||
+ | ''- Data harmonization'' <br> | ||
+ | ''- Data Protection''<br>'''' | ||
+ | ''https://www.globaldataexcellence.com/verbatim/'' <br> | ||
− | '''[[Events/HackCovid/2020-03-28/Group3|Group 3]]: | + | '''[[Events/HackCovid/2020-03-28/Group3|Group 3]]: Data anthropology and ethics'''<br> |
+ | 13 participants:Michele, Jessica, Genferei, Alex, Winfried, Rémi, Judith D, Judith H, Isabelle, Christian, Maurizio Arseni, Jean-Henri Morin, Luca<br> | ||
+ | '''Summary of the full day available here --->''' [[Events/HackCovid/2020-03-28/Group3|Group 3]]<br> | ||
state of the art: epidemiology, social sciences, data science<br> | state of the art: epidemiology, social sciences, data science<br> | ||
how are communities, and social networks built<br> | how are communities, and social networks built<br> | ||
Line 91: | Line 117: | ||
what are the solutions for people without internet, devices, that do not want to track? what are the benefits of those type of persons for the whole community in terms of privacy, infrastructure costs...? | what are the solutions for people without internet, devices, that do not want to track? what are the benefits of those type of persons for the whole community in terms of privacy, infrastructure costs...? | ||
− | '''[[Events/HackCovid/2020-03-28/Group4|Group 4]]: | + | '''[[Events/HackCovid/2020-03-28/Group4|Group 4]]: app audit'''<br> |
− | + | Participants:Lenning, Paul Wang, Simon <br> | |
− | + | '''Need the working document!!!''' | |
− | + | apps<br> | |
− | + | security<br> | |
− | ''' | + | infrastructure<br> |
− | + | best solution by design<br> | |
− | |||
− | |||
− | '''[[Events/HackCovid/2020-03-28/ | + | '''[[Events/HackCovid/2020-03-28/Group6|Group 5]]: data Viz'''<br> |
− | + | participants: | |
==Participants == | ==Participants == | ||
Line 116: | Line 140: | ||
Our hackathon is dedicated to providing a safe and comfortable environment and harassment-free experience for everyone. We do not tolerate harassment of hackathon participants in any form. Hackathon participants violating these rules may be sanctioned or expelled from the hackathon at the discretion of the hackathon organisers. | Our hackathon is dedicated to providing a safe and comfortable environment and harassment-free experience for everyone. We do not tolerate harassment of hackathon participants in any form. Hackathon participants violating these rules may be sanctioned or expelled from the hackathon at the discretion of the hackathon organisers. | ||
+ | |||
+ | ==Documentation== | ||
+ | To be able to record your efforts please document your work by clicking on every group title. You will find then a new page for you. Here are some main points you can keep in your page:<br> | ||
+ | '''1.Presentation of the project<br> | ||
+ | '''2.Group members<br> | ||
+ | '''3.Objectives<br> | ||
+ | '''4.Results<br> | ||
+ | '''5.Difficulties encountered / limitations<br> | ||
+ | '''6.Perspectives to go further with the project<br> | ||
+ | '''7.Resources<br> | ||
+ | ''' | ||
+ | |||
==Resources== | ==Resources== | ||
− | MyData slack with a lot of | + | === Good practices === |
− | Our forum: https://forum.personaldata.io/ with different links, apps, databases, scientific articles to browse by topic<br> | + | [https://docs.google.com/document/d/1MzjbHEWJOHB8G5cSitIS0mqCN8F9f01wDBVmdaR31yA/edit#heading=h.cjweakkg5f How to set-up an online hackhaton within 6 hours] |
− | + | ===MyData Slack=== | |
− | + | MyData slack with a lot of resources to filter in the different channels [https://mydataglobal.slack.com/ mydataglobal.slack.com/] #coronadata #coronavalues #coronaneeds #coronainfo<br> | |
+ | |||
+ | |||
+ | ===Forum=== | ||
+ | Our forum: https://forum.personaldata.io/c/hackcovid/ or https://forum.personaldata.io/c/coronadata with different links, apps, databases, scientific articles to browse by topic<br> | ||
+ | |||
+ | ===Zurich Hackhathon=== | ||
+ | Select Data and resource at the top (constantly supplemented) https://www.codevscovid19.org/ | ||
+ | |||
+ | === COVID-19 App=== | ||
+ | App List https://trello.com/b/uKXApmGN/mydata-global-covid-19-app-list<br> | ||
+ | |||
+ | [https://query.personaldata.io/index.html#PREFIX%20pdio%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fentity%2F%3E%0APREFIX%20pdiot%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fdirect%2F%3E%0APREFIX%20pdiop%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2F%3E%0APREFIX%20pdiops%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fstatement%2F%3E%0APREFIX%20pdiopq%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fqualifier%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%20%3FcountryLabel%20%3FquoteLabel%20%3Fweb%20WHERE%20%7B%0A%20%20%3Fitem%20pdiot%3AP110%20pdio%3AQ4138.%23coronada%0A%20%20%3Fitem%20pdiot%3AP3%20pdio%3AQ438.%20%20%23mobile%20app%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP55%20%3Fcountry%7D%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP15%20%3Fweb%7D%0A%20%20%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%0A%20%20%7D%0A%20%20%0A%7D%0A%0AORDER%20BY%20DESC%28UCASE%28str%28%3FitemLabel%29%29%29 App list available on the wiki] | ||
+ | <br> | ||
+ | |||
+ | === Data repository === | ||
+ | [https://query.personaldata.io/index.html#PREFIX%20pdio%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fentity%2F%3E%0APREFIX%20pdiot%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fdirect%2F%3E%0APREFIX%20pdiop%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2F%3E%0APREFIX%20pdiops%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fstatement%2F%3E%0APREFIX%20pdiopq%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fqualifier%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%20%3FcountryLabel%20%3FquoteLabel%20%3Fweb%20WHERE%20%7B%0A%20%20%3Fitem%20pdiot%3AP110%20pdio%3AQ4138.%23coronada%0A%20%20%3Fitem%20pdiot%3AP3%20pdio%3AQ144.%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP55%20%3Fcountry%7D%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP15%20%3Fweb%7D%0A%20%20%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%0A%20%20%7D%0A%20%20%0A%7D%0A%0AORDER%20BY%20DESC%28UCASE%28str%28%3FitemLabel%29%29%29 Non exhaustive data repository available on the wiki] | ||
+ | |||
+ | === Press articles === | ||
+ | [https://query.personaldata.io/index.html#PREFIX%20pdio%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fentity%2F%3E%0APREFIX%20pdiot%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fdirect%2F%3E%0APREFIX%20pdiop%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2F%3E%0APREFIX%20pdiops%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fstatement%2F%3E%0APREFIX%20pdiopq%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fqualifier%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fdate%20%20%3FcountryLabel%20%3FquoteLabel%20%3Fweb%20WHERE%20%7B%0A%20%20%3Fitem%20pdiot%3AP110%20pdio%3AQ4138.%0A%20%20%3Fitem%20pdiot%3AP3%20pdio%3AQ1206.%20%23news%20item%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP55%20%3Fcountry%7D%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP203%20%3Fquote%7D%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP100%20%3Fdate%7D%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP15%20%3Fweb%7D%0A%20%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP203%20%3Fquote%7D%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%0A%20%20%7D%0A%20%20%0A%7D%0A%0AORDER%20BY%20DESC%28UCASE%28str%28%3Fdate%29%29%29 Selected press articles available on the Wiki] | ||
+ | |||
+ | ===Scholarly articles === | ||
+ | [https://query.personaldata.io/index.html#PREFIX%20pdio%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fentity%2F%3E%0APREFIX%20pdiot%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fdirect%2F%3E%0APREFIX%20pdiop%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2F%3E%0APREFIX%20pdiops%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fstatement%2F%3E%0APREFIX%20pdiopq%3A%20%3Chttps%3A%2F%2Fwiki.personaldata.io%2Fprop%2Fqualifier%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fdate%20%20%20%3Fweb%20WHERE%20%7B%0A%20%20%3Fitem%20pdiot%3AP110%20pdio%3AQ4138.%0A%20%20%3Fitem%20pdiot%3AP3%20pdio%3AQ210.%20%23scholarly%20article%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP100%20%3Fdate%7D%0A%20%20OPTIONAL%20%7B%3Fitem%20pdiot%3AP15%20%3Fweb%7D%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%0A%20%20%7D%0A%20%20%0A%7D%0A%0AORDER%20BY%20DESC%28UCASE%28str%28%3Fdate%29%29%29 Selected scholarly articles available on the Wiki] | ||
+ | |||
+ | === Health databases === | ||
+ | |||
+ | === Data dictionaries for intake of COVID patients === | ||
+ | * from Geneva Canton, a RedCap dictionary https://www.dropbox.com/s/nfos9rv7iwkyyaz/SuiviCOVID19_DataDictionary_2020-03-22.csv?dl=0 for the intake of COVID-positive patients<br> | ||
+ | * from the UK: COVID self-assessment standards https://ckm.apperta.org/ckm/templates/1051.57.241) and other standards relating to COVID added [here]https://ckm.apperta.org/ck) (website is difficult, please add below what you have)<br> | ||
+ | * from China in openEHR https://discourse.openehr.org/t/covid-19-diagnosis-and-treatment-decision-support-openehr-templates-and-rules/516 <br> | ||
+ | * openEHR standards https://discourse.openehr.org/t/openehr-covid-19-project/448 <br> | ||
+ | |||
+ | === Questions raised during the main presentation === | ||
+ | The questions started a rich discussion during the main presentation of the hackathon, please find them in the link below to enrich your work.<br> | ||
+ | https://forum.personaldata.io/t/questions-raised-during-the-main-presentation-of-hackcovid-leman/381<br> |
Latest revision as of 10:26, 31 March 2020
'HackCovid-Leman'
date: Saturday 28 March 2020
where: ONLINE from 10AM --> https://tinyurl.com/hackcovid Zoom:957 309 096
from: 10AM to 5PM HACKATHON
register: here if you haven't: https://www.eventbrite.com/e/hackcovid-leman-tickets-94729014031
whatsapp group https://tinyurl.com/hackcovid-whatsapp
Everybody can contribute by editing the document.
We expect to collect in particular: topics of interest to create groups of work, group leaders, specific objectives in relation to the general statement, outputs you wish to achieve by the end of the event, collaborative tools.
Questionnaire COVID-19 lifestyles and contagion
Please take the time to answer this questionnaire it will help working on the results during the hackathon:
Italian https://docs.google.com/forms/d/e/1FAIpQLSd8gqx6JtUKZGi2dnBdDUqDlhvBb1n9xOnXRCYC9ob21Sv_DA/viewform
Goals
Our initiative is part of the more general framework of MyData: https://docs.google.com/document/d/1JONwa781NSuxyVANzTSxruR23z2_YPTEdcxsS3PNMpM/edit#
The characteristics of the virus and of COVID-19 could be confronted with the collection of personal data, to stop the spread and to enter into epidemiological modelling, in order to get out of the crisis as quickly as possible. This is feasible with an interdisciplinary approach. Epidemiologists, scientists, hacktivists, ethicists, elected officials, civil servants and citizens all have a role to play.
Although data collection may be seen as essential to understand the current problem and find solutions within a consistent technical, legal and ethical framework, we are compelled to prepare and obtain informed consent from individuals, which we believe is crucial to balancing the public health emergency and safeguarding fundamental rights and freedoms, in the short, medium and long term. We also have the challenge of social inclusion to create a model that is adapted to different contexts, lifestyles, and access to basic and technological resources where it will have to be evaluated what can actually be collected and shared, taking into account the profile of people who do not wish or cannot share data.
This event is intended to be a space for discussion, debate, sharing and development. You are free to propose ideas, provide constructive criticism and work both autonomously and in coordination.
Schedule
1.Introduction by Paul-Olivier Dehaye
POD Presentation
YT video Anthropology of SARSCoV and Research into SARS CoV2 COVID19 HCoV19
2.SHORT TALKS
- biological aspect: understanding the virus
- why tracing?
- sociological aspect: explain the context population, authorities, public health, why work on this? how to count those who do not have voices without data? seek data minimization, what is the social meaning of monitoring, on what scale? (Miles and Jessica)
- technical aspect: understanding transparency in existing solutions (Lennig) legality in relation to proportionality (PO) global vs. local context, how to prove that tracing is necessary?
- our initiative stemming from MyData (PO): governance, trusted intermediaries, informed consent, COVID-19 MyData Commons
3. Presentation of groups so everyone can make a choice where to participate.
- comments, questions, new ideas
4. Group formation in Zoom according to the number of group 1-6
5. Break (12.30pm-2pm)
6. Quick sync (2pm-2.30pm)
7. Second round of group work (2.30pm-4pm)
7. Conclusions (4pm-5pm)
8. Celebrations Apero
9. Post HackCovid. Follow up
Working groups
You can access the form to submit challenges for that Swiss hackathon here: https://docs.google.com/forms/d/e/1FAIpQLSfLYrHhlUdhJ_PoECAeYZazTd_zGa3KqE3TrItOWZhLnEC02A/viewform
Group 1: Data protection .Proportionality?
Participants: Paul-Olivier Dehaye, Jean Rossiaud, John W ...
working document:https://tinyurl.com/hackcovid-group1
informed consent
data protection
privacy
impact assessment
data subjects rights to ensure
clarify analysis that will be conducted with personal data
risks minimization
balancing tests
Group 2: Data collection- Prototyping
Participants: Iain Henderson, Gianfranco, ..
technical angle
JNLC protocol https://protocol.jlinc.org
crowdsourcing
what data to collect
how much to collect
what is useful in respect to questions we want to answer
from which sources, databases
data storage
data protection
tools, scripts for automatic collection
see: Crowdsourced data collection: what to get?
Proposal for next Hackathon VersusVirus(www.versusvirus.ch) for group 2
Prepopulate the Common using Data Excellence Management Systems and AI with existing DEMS toolset. The goal is to have fast and widespread adoption of the JLINC
''Protocol for Data Sharing to build the Common with
minimal effort:
- Data access
- Data harmonization
- Data Protection
'
https://www.globaldataexcellence.com/verbatim/
Group 3: Data anthropology and ethics
13 participants:Michele, Jessica, Genferei, Alex, Winfried, Rémi, Judith D, Judith H, Isabelle, Christian, Maurizio Arseni, Jean-Henri Morin, Luca
Summary of the full day available here ---> Group 3
state of the art: epidemiology, social sciences, data science
how are communities, and social networks built
qualitative study. Survey users about routines in house, mobility, shopping, social contacts, children and family care
build personas
research agenda
relation with public health
relation with crowdsourcing
what are the solutions for people without internet, devices, that do not want to track? what are the benefits of those type of persons for the whole community in terms of privacy, infrastructure costs...?
Group 4: app audit
Participants:Lenning, Paul Wang, Simon
Need the working document!!!
apps
security
infrastructure
best solution by design
Group 5: data Viz
participants:
Participants
add your name
Palrogg
Pidoux
Podehaye
Genferei
Maumau1
...
Hack code of conduit
Our hackathon is dedicated to providing a safe and comfortable environment and harassment-free experience for everyone. We do not tolerate harassment of hackathon participants in any form. Hackathon participants violating these rules may be sanctioned or expelled from the hackathon at the discretion of the hackathon organisers.
Documentation
To be able to record your efforts please document your work by clicking on every group title. You will find then a new page for you. Here are some main points you can keep in your page:
1.Presentation of the project
2.Group members
3.Objectives
4.Results
5.Difficulties encountered / limitations
6.Perspectives to go further with the project
7.Resources
Resources
Good practices
How to set-up an online hackhaton within 6 hours
MyData Slack
MyData slack with a lot of resources to filter in the different channels mydataglobal.slack.com/ #coronadata #coronavalues #coronaneeds #coronainfo
Forum
Our forum: https://forum.personaldata.io/c/hackcovid/ or https://forum.personaldata.io/c/coronadata with different links, apps, databases, scientific articles to browse by topic
Zurich Hackhathon
Select Data and resource at the top (constantly supplemented) https://www.codevscovid19.org/
COVID-19 App
App List https://trello.com/b/uKXApmGN/mydata-global-covid-19-app-list
App list available on the wiki
Data repository
Non exhaustive data repository available on the wiki
Press articles
Selected press articles available on the Wiki
Scholarly articles
Selected scholarly articles available on the Wiki
Health databases
Data dictionaries for intake of COVID patients
- from Geneva Canton, a RedCap dictionary https://www.dropbox.com/s/nfos9rv7iwkyyaz/SuiviCOVID19_DataDictionary_2020-03-22.csv?dl=0 for the intake of COVID-positive patients
- from the UK: COVID self-assessment standards https://ckm.apperta.org/ckm/templates/1051.57.241) and other standards relating to COVID added [here]https://ckm.apperta.org/ck) (website is difficult, please add below what you have)
- from China in openEHR https://discourse.openehr.org/t/covid-19-diagnosis-and-treatment-decision-support-openehr-templates-and-rules/516
- openEHR standards https://discourse.openehr.org/t/openehr-covid-19-project/448
Questions raised during the main presentation
The questions started a rich discussion during the main presentation of the hackathon, please find them in the link below to enrich your work.
https://forum.personaldata.io/t/questions-raised-during-the-main-presentation-of-hackcovid-leman/381