Description and analysis of COVID-19 contagion chains from an ontological perspective

Authors

Abstract

COVID-19 is a disease caused by the SARS-CoV-2 virus which has killed thousands of people worldwide. Its high transmissibility is a factor that considerably hinders its containment. The analysis of contagion chains could provide elements of interest for both virological and epidemiological studies. On the other hand, ontologies have become a widely accepted technology for knowledge representation and its corresponding analysis. The purpose of the study was to present an ontological model for the representation and analysis of COVID-19 contagion chains. The model was developed in OWL (Web Ontology Language), a formal language based on descriptive logics. The proposal could therefore be useful to infer knowledge about contagion chains, thus contributing to the struggle of the scientific community against COVID-19. Adoption of this proposal will help speed up the analysis of contagion chains, as well as gain insight into the search for features which could go unnoticed if other approaches are used.

Key words: Ontology; COVID-19; contagion chains.

Author Biography

Nemury Silega Martínez, Universidad de las Ciencias Informáticas (UCI)

Profesor de la Universidad de las Ciencias Informáticas (UCI).

 

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Published

2021-09-08

How to Cite

1.
Silega Martínez N, Varén E, Varén A, Rodríguez I. Description and analysis of COVID-19 contagion chains from an ontological perspective. Rev. cuba. inf. cienc. salud [Internet]. 2021 Sep. 8 [cited 2024 Dec. 27];32(3). Available from: https://acimed.sld.cu/index.php/acimed/article/view/1742

Issue

Vol. 32 No. 3 (2021): julio-septiembre

Section

Sección temática: Ciencias de la información y COVID-19

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