Resumo

DELGADO FERNANDEZ, Tatiana; STUART CARDENAS, Mavis Lis  e  DELGADO FERNANDEZ, Mercedes. Knowledge graphs to manage epidemiological information about COVID-19. Rev. cuba. inf. cienc. salud [online]. 2021, vol.32, n.4, e1686.  Epub 01-Fev-2022. ISSN 2307-2113.

Control of the spread of infectious diseases requires exhaustive epidemiological research, as has been validated by the performance of the Ministry of Public Health during several decades of combat against numerous diseases, such as dengue, cholera and various types of influenza, among others. However, the COVID-19 pandemic is testing the limits of the most rigorous epidemiological protocols in Cuba and worldwide, due to its high transmissibility and fast spread. In this context, the present study had the purpose of using knowledge graphs to support epidemiological research about COVID-19, with greater emphasis on exposure factors and contact tracing. To achieve this end, a study was conducted about the state of the art of knowledge graphs and their use in the health care sector, particularly in the combat against the novel coronavirus SARS-CoV-2. The research applied a methodological approach based on the development and use of knowledge graphs adjusted to the study field. Results are simulated in the context of the outbreak occurring in mid July 2020 in the municipality of Bauta, Artemisa province, using real data obtained from the Internet and combined with other simulated data.

Palavras-chave : Epidemiology; coronavirus infections; knowledge graph.

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