An online survey of factors associated with self-perceived stress during the initial stage of the COVID-19 outbreak in Nepal
Bibliographic record
Abstract
Background: The novel coronavirus (COVID-19) is global challenge humankind has ever witnessed in recent times. After its outbreak in late December in Wuhan China, it has expanded to affect the entire world. In as much as it is a new disease, there is dearth of evidence. Aim: The aim of this study is to find and assess the factors associated with self-perceived stress during the COVID-19 outbreak in Nepal. Method: We evaluated 374 respondents from an online survey, using the Sheldon Cohen Perceived Stress Scale, to assess stress levels during the COVID-19 outbreak in Nepal. Results: Nearly three-quarters of the respondents rated their self-perceived stress as moderate to high, and about one quarter reported to have low self-perceived stress. Age and employment status were associated with a greater psychological impact of the outbreak. Conclusions: There is a need to carry out psychological intervention activities through various mediums to help people become more resilient during the COVID-19 epidemic. [Ethiop. J. Health Dev. 2020; 34(2):84-89] Keywords: COVID-19, psychological response, stress, Nepal
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".