The COVID-19 epidemiology and monitoring ontology
The covid-19 epidemiology and monitoring ontology (cemo) provides a common ontological model to make epidemiological quantitative data for monitoring the covid-19 outbreak machine-readable and interoperable to facilitate its exchange, integration and analysis, to eventually support evidence-based rapid response.
README
The COVID-19 epidemiology and monitoring ontology The COVID-19 Epidemiology and Monitoring Ontology (CEMO) is designed to make epidemiological quantitative data for monitoring the COVID-19 outbreak machine-readable and interoperable to facilitate its exchange, integration and analysis, to eventually support evidence-based rapid response. This ontology has built following knowledge-engineering standards and the OBO principles to bridge epidemiology into the semantic landscape of the biomedical…
Source attribution
- GitHub — github.com/nuriaqueralt/covid19-epidemiology-ontology
- Bioregistry — cemo
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