Mental Health in the Post-Lockdown Scenario: A Scientometric Investigation of the Main Thematic Trends of Research

Ilaria Cataldo (), Dora Novotny, Alessandro Carollo and Gianluca Esposito
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Ilaria Cataldo: Department of Psychology and Cognitive Science, University of Trento, 38068 Rovereto, Italy
Dora Novotny: Department of Psychology and Cognitive Science, University of Trento, 38068 Rovereto, Italy
Alessandro Carollo: Department of Psychology and Cognitive Science, University of Trento, 38068 Rovereto, Italy
Gianluca Esposito: Department of Psychology and Cognitive Science, University of Trento, 38068 Rovereto, Italy

IJERPH, 2023, vol. 20, issue 13, 1-21

Abstract: Since the outbreak of COVID-19, researchers and clinicians have published scientific articles on the SARS-CoV-2 virus and its medical, organizational, financial, and psychological implications. However, many effects have been observed in the post-lockdown scenario. In this study, we adopted a scientometric–bibliometric approach to drawing the state of the art regarding the emotional and psychological effects of the pandemic after the lockdown. In Scopus, we found 791 papers that were subsequently analyzed using CiteSpace. The document co-citation analysis (DCA) computation generated a network of eight major clusters, each representing a central area of investigation. Specifically, one major cluster—cluster no. 1—focuses on the long-term effects of the COVID-19 pandemic and individuals’ ability to develop adaptive coping mechanisms and resilience. The results allow us to frame the fields covered by researchers more precisely and the areas that still need more investigation.

Keywords: mental health; psychological well-being; depression; anxiety; post-lockdown; COVID-19; document co-citation analysis; bibliometrics; visualized research (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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