COVID-19 Pandemic and Uptake in Suicide Attempt Among Young People of Minority Population: A Case Series
Bibliographic record
Abstract
The first case of coronavirus disease 2019 (COVID-19) was reported in Wuhan China on December 31, 2019. COVID-19 was declared a global pandemic on March 11, 2020. To reduce the spread of this virus, the World Health Organization (WHO) and the Center for Disease Control (CDC) recommended self and mandatory quarantine of exposed individuals and self-isolation. However, the psychological impact of this pandemic includes new onset or worsening of existing mental illnesses which include but are not limited to anxiety, depression from social isolation, eating disorders, and uptake in suicidality either in isolation or part of mental illness symptomatology. In the USA, suicide is the second leading cause of death among people aged 10 - 34 years while globally, it is the second cause of death among people aged 15 - 29 years. The authors present a case of two young women of minority population with no prior psychiatric illnesses who presented to the psychiatry emergency room with suicidal attempts due to COVID-19 pandemic-related psychosocial stressors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".