The COVID-19 epidemiology and monitoring ontology

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Authors
Queralt-Rosinach, Núria cc
Schofield, Paul N. cc
Hoehndorf, Robert cc
Weiland, Claus
Schultes, Erik Anthony cc
Bernabé, César Henrique
Roos, Marco cc
KAUST Department
Bio-Ontology Research Group (BORG)
Computational Bioscience Research Center (CBRC)
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2021-08-11
Permanent link to this record
http://hdl.handle.net/10754/670637

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Abstract
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. In this study we present our findings and contributions for the bio-ontologies community.
Citation
Queralt-Rosinach, N., Schofield, P., Hoehndorf, R., Weiland, C., Schultes, E. A., Bernabé, C. H., & Roos, M. (2021). The COVID-19 epidemiology and monitoring ontology. doi:10.37044/osf.io/n6tcz
Sponsors
We would like to specially thank Birgit Meldal for her input and ideas. This initiative has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°825575 (the European Joint Programme Rare Diseases), and the Trusted World of Corona (TWOC; LSH Health Holland).
Publisher
Center for Open Science
DOI
10.37044/osf.io/n6tcz
Additional Links
https://osf.io/n6tcz
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Bio-Ontology Research Group (BORG); Preprints; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Archived with thanks to Center for Open Science. Authors retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC-BY).
Except where otherwise noted, this item's license is described as Archived with thanks to Center for Open Science. Authors retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC-BY).