The COVID-19 epidemiology and monitoring ontology
type: https://bioregistry.io/schema/#0000001
contributor: Benjamin M. Gyori
description: 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.
is part of: bioregistry
git repository: covid19-epidemiology-ontology
keyword: ontology
0000005: secondary_attack_rate
0000006: https://biopragmatics.github.io/providers/cemo/$1
0000008: ^[0-9a-z_-]+$
0000010: cemo.owl
0000012: false
0000019: Núria Queralt Rosinach
0000021: Charles Tapley Hoyt
0000024: https://biopragmatics.github.io/providers/cemo/
0000027: secondary attack rate
0000029: cemo