The COVID-19 epidemiology and monitoring ontology (CEMO) is an OWL ontology built during the COVID-19 pandemic for better exchange, integration and reuse of epidemiological information. Here, we present an update of the development of the ontology and future directions in order to make it usable under different scenarios and new challenges
Made available in DSpace on 2016-08-29T15:33:17Z (GMT). No. of bitstreams: 1 tese_5084_.pdf: 1868850...
The SARS-CoV-2 virus continuously accumulates genetic variation through mutations; mutations are the...
The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in...
One year ago, the novel COVID-19 infectious disease emerged and spread, causing high mortality and m...
The purpose of this chapter is to follow the evolution of what has occurred over time in the ontolog...
The COVID-19 pandemic has caused the deaths of millions of people around the world. The scientific c...
Background: Creating an ontology for COVID-19 surveillance should help ensure transparency and consi...
A lack of surveillance system infrastructure in the Asia-Pacific region is seen as hindering the glo...
Context: The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COVID-19 for short) de...
The epidemiology ontology: an ontology for the semantic annotation of epidemiological resource
The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to prov...
Abstract Background With COVID-19 still in its pandemic stage, extensive research has generated incr...
Technological developments have resulted in tremendous increases in the volume and diversity of the ...
The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Ontologies...
The preservation of epidemiological information is challenging in several aspects, since this is bot...
Made available in DSpace on 2016-08-29T15:33:17Z (GMT). No. of bitstreams: 1 tese_5084_.pdf: 1868850...
The SARS-CoV-2 virus continuously accumulates genetic variation through mutations; mutations are the...
The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in...
One year ago, the novel COVID-19 infectious disease emerged and spread, causing high mortality and m...
The purpose of this chapter is to follow the evolution of what has occurred over time in the ontolog...
The COVID-19 pandemic has caused the deaths of millions of people around the world. The scientific c...
Background: Creating an ontology for COVID-19 surveillance should help ensure transparency and consi...
A lack of surveillance system infrastructure in the Asia-Pacific region is seen as hindering the glo...
Context: The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COVID-19 for short) de...
The epidemiology ontology: an ontology for the semantic annotation of epidemiological resource
The Infectious Disease Ontology (IDO) is a suite of interoperable ontology modules that aims to prov...
Abstract Background With COVID-19 still in its pandemic stage, extensive research has generated incr...
Technological developments have resulted in tremendous increases in the volume and diversity of the ...
The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Ontologies...
The preservation of epidemiological information is challenging in several aspects, since this is bot...
Made available in DSpace on 2016-08-29T15:33:17Z (GMT). No. of bitstreams: 1 tese_5084_.pdf: 1868850...
The SARS-CoV-2 virus continuously accumulates genetic variation through mutations; mutations are the...
The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in...