Conference paper Open Access
The COVID-19 epidemiology and monitoring ontology
Queralt-Rosinach, Núria;
Schofield, Paul N.;
Hoehndorf, Robert;
Weiland, Claus;
Schultes, Erik;
Bernabé, César H.;
Roos, Marco
One year ago, the novel COVID-19 infectious disease emerged and spread, causing high mortality and morbidity rates worldwide. In the OBO Foundry, there are more than one hundred ontologies to share and analyse large-scale datasets for biological and biomedical sciences. However, this pandemic revealed that we lack tools for an efficient and timely exchange of this epidemiological data which is necessary to assess the impact of disease outbreaks, the efficacy of mitigating interventions and to provide a rapid response. Recently, several new COVID-19 ontologies have developed such as the IDO extension or CIDO. Hence, our research question was to determine if there was a good representation of epidemiological quantitative concepts in OBO ontologies. Our objectives were to identify missing COVID-19 epidemiological terms and implement axiom patterns for extensions to existing ontologies or to build a new, logically well-formed, and accurate ontology in OBO. In this study we present our findings and contributions for the bio-ontologies community.
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ismb2021_bioontologies_abstract.pdf
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ismb2021_bioontologies_poster.pdf
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ismb2021_bioontologies_talk.pdf
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LICENSE.txt
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- Publication date:
- December 3, 2021
- DOI:
-
- Keyword(s):
- COVID-19 epidemiology ontology OWL OBO
- Grants:
-
European Commission:
- EJP RD - European Joint Programme on Rare Diseases (825575)
- Communities:
- License (for files):
- Other (Open)