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Re: COVID19 Cross-Domain Linked Dataset

From: Andreas Harth <andreas@harth.org>
Date: Fri, 3 Apr 2020 10:50:25 +0200
To: Juan Sequeda <juanfederico@gmail.com>, "Dr. Sanju Tiwari" <sanju.tiwari.2007@gmail.com>
Cc: Krzysztof Janowicz <janowicz@ucsb.edu>, "public-lod@w3.org" <public-lod@w3.org>, "semantic-web@w3.org" <semantic-web@w3.org>, Kingsley Idehen <kidehen@openlinksw.com>, "Meckler, Sascha" <sascha.meckler@iis.fraunhofer.de>
Message-ID: <a6f368a2-e001-c331-d983-ada23d6ea5df@harth.org>
Hi,

do you know of any datasets of individual patient records, in FHIR or other formats?

[1] writes:

"While the disease spreads, the World Health Organisation (WHO) is crowdsourcing what hospitals are learning. It has asked doctors to submit anonymised covid-19 patient records to its global database, listing the drugs prescribed, procedures carried out and outcomes. But it has received fewer contributions than hoped, says Soumya Swaminathan, the WHO’s chief scientist. Talking to doctors directly seems to work better."

Cheers,
Andreas.

[1] https://www.economist.com/international/2020/03/26/crowdsourcing-to-fight-covid-19

On 4/3/20 7:00 AM, Juan Sequeda wrote:
> All,
> 
> We compiled all the COVID-19 datasets that have been published on data.world: https://data.world/resources/coronavirus/
> 
> Even though these datasets are tabular, they can be queried in SPARQL. The tabular data is represented in RDF following W3C CSVW. You can run SPARQL and SQL queries directly in data.world or through the api:
> 
> https://apidocs.data.world/api/queries/sparqlget
> https://apidocs.data.world/api/queries/sqlget
> 
> Hope you find this data useful!
> 
> --
> Juan Sequeda, Ph.D
> www.juansequeda.com <http://www.juansequeda.com>
> 
> 
> On Wed, Apr 1, 2020 at 1:35 AM Dr. Sanju Tiwari <sanju.tiwari.2007@gmail.com <mailto:sanju.tiwari.2007@gmail.com>> wrote:
> 
>     Dear All
> 
>     I am trying to analyse COVID-19 data of India on this link:
>     https://covid.geog.ucsb.edu/browse/#covid19-country:IN
> 
>     But I noticed it is showing till 21March only while Johns Hopkin and wikipedia website gives till 31st March. I have to analyze from all three sites to check the equality of data.
> 
>     https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases#metadata-0  (John Hopkins)
> 
>     https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_India#cite_note-336  (WikiPedia)
> 
>     Please help me to get data till 31st March.
> 
>     Thanks in advance.
> 
> 
> 
>     On Fri, Mar 27, 2020 at 10:55 PM Krzysztof Janowicz <janowicz@ucsb.edu <mailto:janowicz@ucsb.edu>> wrote:
> 
>         Dear all,
> 
>         This is an update on our open knowledge graph about COVID-19.
> 
>         In our knowledge graph, we have:
>             (1). COVID19 cases for countries and regions (data from Johns Hopkins
>         University)
>             (2). Airlines that are suspended due to COVID19 (data are partially
>         donated from Aviation Edge and partially from manual collection)
>             (3). Quarantine policies across the world (manually collected)
>             (4). Relief aids from NGO (manually collected)
>             (5). Regions on multiple levels
>             (6). Local event data such as cancellations (so far by example only)
>             (7). Supply chain disruptions (so far by example only)
> 
>         We are  updating our KG by adding more resources. Examples include:
>            (1). Supply chains from wikidata
>            (2). Virus strain data (we are collaborating with UCSD on this part
>         right now)
>            (3). Research articles from Kaggle (Thanks to Pieter, we will
>         integrate your KG to ours)
> 
>         This KG can be visualized at:
>         http://covid.geog.ucsb.edu:7200/graphs-visualizations?config=48691118befc47e4a6a6aabde78cd73d
> 
>         Example query:
>         http://covid.geog.ucsb.edu:7200/sparql?savedQueryName=Max%20Confirmed%20Cases&owner=admin&execute
> 
>         Query endpoint: http://covid.geog.ucsb.edu:7200/sparql and
>         http://covid.geog.ucsb.edu:7200/repositories/COVID-19
> 
>         Raw RDF: use the export at http://covid.geog.ucsb.edu:7200/graphs
> 
>         Please keep in mind that we are constantly changing the data and even
>         the underlying ontology; things will break at times.
> 
>         We hope this can be another initiative for our community to contribute
>         to such a global challenge. Any suggestions and/or interests of
>         collaborations are *most* welcome.
> 
>         Krzysztof
> 
>         -- 
>         Krzysztof Janowicz
> 
>         Geography Department, University of California, Santa Barbara
>         4830 Ellison Hall, Santa Barbara, CA 93106-4060
> 
>         Email: jano@geog.ucsb.edu <mailto:jano@geog.ucsb.edu>
>         Webpage: http://geog.ucsb.edu/~jano/
>         Semantic Web Journal: http://www.semantic-web-journal.net
> 
> 
> 
> 
>     -- 
>     Regards
>     Dr. Sanju Tiwari
>     PhD, Post-Doc(Ontology Engineering Group, UPM, Madrid)
>     Member IEEE
>     Member Machine Intelligence Research Labs(MIR Lab), USA
> 
> 
> 
> 
Received on Friday, 3 April 2020 08:50:46 UTC

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