Elaboration of Psychological Ontology that Integrates the Problem of Human Frailty in COVID-19 Context

Abstract

: In terms of mental health, COVID-19 has a great impact on people's psychology. It can cause a certain degree of fear, worry, boredom, depression, eating disorders, loneliness and sometimes self-aggression or suicidal behaviour. The purpose of this article is to explore the psychological consequences of health problems related to COVID-19. During this period, some literature appears to analyze the psychological behaviour of individuals. However, in the sense of domain ontology, there is a lack of knowledge about modelling specific knowledge in the field of psychology and to have formal semantics. Through this article, we present a psychology-based method to analyze human behaviour and frailty during COVID-19. We chose IR (Information Research) based on TOR (Termino-Ontology Resources) as the method to construct the resulting ontology modelling the state of mental health in a COVID-19 context, an ontology that avoids ambiguities in the concepts that model the domain in question. The result of our research is the ontology described in Fig. 5, 6, 7, 8 and 9. The concepts that make up our ontology are derived from the results of the calculation of scores through Eq. 6, which consists of calculating the Score (Cij), then the CI(c) through the calculation of P(c) which is 0.18 in the term ti= anxiety, and therefore (-log (0.25)) for the calculation of CI(c). These results concern the term "anxiety" in our ontology, following the same logic for the other terms. The lack of a psychological ontology modelling the concepts, those correspond to the fragility of people's mental health during the COVID-19 pandemic, so we thought about developing an ontology that would fill this gap.