Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic

Lincoln Coutinho; Mark Song; Luis Zárate

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Paper

Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic

Topics: Application of Health Informatics in Clinical Cases; Physiological and Behavioral Modeling

In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: , 323-329, 2024 , Rome, Italy

Authors: Lincoln Coutinho ; Mark Song and Luis Zárate

Affiliation: Applied Computational Intelligence Laboratory – LICAP, Computer Science Department, Pontifical Catholic University of Minas Gerais, Brazil

Keyword(s): Triadic Analysis, Longitudinal Study, Mental Health, COVID-19, Data Mining.

Abstract: Longitudinal studies are essential to understand the evolution of individuals’ psychological behaviors, especially in pandemic scenarios. The work proposes the application of the triadic analysis, derived from the theory of Formal Analysis of Concepts, to describe, through rules, a longitudinal database about the attitudes and reactions of individuals during COVID 19. As a main result, one can observe how the different factors considered in the study are related in different scenarios of the pandemic, showing degrees of stress related to the prevention of the disease.

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Paper citation in several formats:

Coutinho, L.; Song, M. and Zárate, L. (2024). Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 323-329. DOI: 10.5220/0012314900003657

@conference{healthinf24,
author={Lincoln Coutinho. and Mark Song. and Luis Zárate.},
title={Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF},
year={2024},
pages={323-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012314900003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF
TI - Longitudinal Data Analysis Based on Triadic Rules to Describe of the Psychological Reactions During COVID 19 Pandemic
SN - 978-989-758-688-0
IS - 2184-4305
AU - Coutinho, L.
AU - Song, M.
AU - Zárate, L.
PY - 2024
SP - 323
EP - 329
DO - 10.5220/0012314900003657
PB - SciTePress