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COVID-19 Surveillance Ontology
Last uploaded:
January 28, 2021
| Acronym | COVID19 |
| Visibility | Public |
| Description | The COVID-19 Surveillance Ontology is an application ontology used to support SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) surveillance in primary care. The ontology facilitates monitoring of COVID-19 cases and related respiratory conditions using data from multiple brands of computerised medical record systems. |
| Status | Beta |
| Format | OWL |
| Categories |
| Bibliographic reference |
https://publichealth.jmir.org/2020/4/e21434/
https://publichealth.jmir.org/2020/4/e21434/
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| Contact | John Williams ([email protected]) Dylan Mc Gagh ([email protected]) Simon De Lusignan ([email protected]) Harshana Liyanage ([email protected]) |
| Creation date | August 5, 2020
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| Homepage |
https://orchid.phc.ox.ac.uk/index.php/cov-19/
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| Submission date | January 28, 2021
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| Version information |
V1.0
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| uri |
http://www.semanticweb.org/clininf/covid19
http://www.semanticweb.org/clininf/covid19
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No views of COVID19 available
| Classes | 32 |
| Individuals | 0 |
| Properties | 0 |
| Maximum depth | 1 |
| Maximum number of children | 11 |
| Average number of children | 6 |
| Classes with a single child | 0 |
| Classes with more than 25 children | 0 |
| Classes with no definition | 32 |