The Infectious Disease Ontology in the age of COVID-19

• Published in: Journal of biomedical semantics Vol. 12; no. 1; pp. 13 - 20
• Main Authors: Babcock, Shane, Beverley, John, Cowell, Lindsay G., Smith, Barry
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18.07.2021; BioMed Central; BMC
• Subjects: Best practice; Biological Ontologies - statistics & numerical data; Cellular structure; Communicable Disease Control - methods; Communicable Disease Control - statistics & numerical data; Communicable Diseases - epidemiology; Communicable Diseases - therapy; Communicable Diseases - transmission; Computational Biology - methods; Computational Biology - statistics & numerical data; Coronavirus; Coronaviruses; COVID-19; COVID-19 - epidemiology; COVID-19 - prevention & control; COVID-19 - virology; Data integration; Data mining; Data Mining - methods; Data Mining - statistics & numerical data; Data retrieval; Data systems; Emergency response; Epidemics; Humans; Infectious disease; Infectious disease ontology; Infectious diseases; Information Dissemination - methods; Integration; Knowledge representation; Medical research; Medicine, Experimental; Methods; Modules; Ontology; Pathogens; Physicians; Principles; Public health; Public Health - methods; Public Health - statistics & numerical data; SARS-CoV-2 - isolation & purification; SARS-CoV-2 - physiology; Semantics; Viral diseases; Viruses; United States; COVID-19; Infectious disease; Coronavirus; Infectious disease ontology; Ontology; Data integration

Effective response to public health emergencies, such as we are now experiencing with COVID-19, requires data sharing across multiple disciplines and data systems. Ontologies offer a powerful data sharing tool, and this holds especially for those ontologies built on the design principles of the Open...