Suicides in Crete: frequency and gender/ seasonal distribution before and during the Covid-19 pandemic
Bibliographic record
Abstract
INTRODUCTION: Covid pandemic-related psychological problems mainly include anxiety, depression and sleep disturbances, while evidence regarding suicidality is conflicting between studies. Crete has the highest suicide rate in Greece. OBJECTIVES: To examine suicides’ rate, gender and seasonal distribution pre-covid, compared to Covid-19 pandemic (2020-2021). Seasonality was studied by quarter of the year. METHODS: Data on the number of suicides, demographics, and seasonal distribution by quarter throughout Crete, were collected from the records of the Department of Forensic Medicine/University Hospital of Heraklion Crete, as well as from the Forensic Agency of Crete RESULTS: We found that in the years 2020 and 2021, number of suicides in Crete are 41 and 40 respectively and do not differ from those of the previous years (Mean(1999-2019) = 43.5/year). Also, the distribution of suicides by gender remained stable (Mean men/women (1999-2019)=4.6 vs. Mean men/women (2020-2021)=4.3). The analysis of the seasonal distribution of suicides showed a reversal of the seasonal distribution in 2020 compared to the previous 5-years, which tends to return to pre-pandemic characteristics in 2021. CONCLUSIONS: The overall rate and gender distribution of suicides in Crete remained stable during the Covid pandemic compared to the previous twenty years. The clear change in the seasonal distribution of suicides in 2020 compared to the distribution of previous years tends to return to previous levels in 2021. Possibly, the change in seasonality in 2020 is related to the fear of death/stress and the short/medium term economic consequences due to the pandemic. DISCLOSURE OF INTEREST: None Declared
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".