Citation

Kumar R, Mukherjee S, Choi TM, Dhamotharan L. Decis. Support Syst. 2022; 162.

Copyright

(Copyright © 2022, Elsevier Publishing)

DOI

10.1016/j.dss.2022.113792

PMID

unavailable

Abstract

The COVID-19 pandemic has had a severe impact on mankind, causing physical suffering and deaths across the globe. Even those who have not contracted the virus have experienced its far-reaching impacts, particularly on their mental health. The increased incidences of psychological problems, anxiety associated with the infection, social restrictions, economic downturn, etc., are likely to aggravate with the virus spread and leave a longer impact on humankind. These reasons in aggregation have raised concerns on mental health and created a need to identify novel precursors of depression and suicidal tendencies during COVID-19. Identifying factors affecting mental health and causing suicidal ideation is of paramount importance for timely intervention and suicide prevention. This study, thus, bridges this gap by utilizing computational intelligence and Natural Language Processing (NLP) to unveil the factors underlying mental health issues. We observed that the pandemic and subsequent lockdown anxiety emerged as significant factors leading to poor mental health outcomes after the onset of COVID-19. Consistent with previous works, we found that psychological disorders have remained pre-eminent. Interestingly, financial burden was found to cause suicidal ideation before the pandemic, while it led to higher odds of depressive (non-suicidal) thoughts for individuals who lost their jobs. This study offers significant implications for health policy makers, governments, psychiatric practitioners, and psychologists. © 2022 Elsevier B.V.

Language: en

Keywords

COVID-19; Depression; Mental health; Suicidal ideation; Health; Natural language processing systems; Social networking (online); Social media; Natural language processing; Pandemic; Health issues; Economic downturn; Novel precursors; Social-media; Virus spreads; Viruses