Impact of COVID-19 lockdown on quality of life in a literate population in Pakistan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Early in the COVID-19 pandemic in Pakistan, complete lockdown was imposed from 24 March 2020: offices, shopping malls, market places, etc. were affected. On 25 March, further restrictions were imposed: hospital outpatient departments were closed and there was a ban on public and private gatherings. The lockdown significantly slowed down economic activities, and halted recreational, educational and religious activities and social gatherings. Aims: To assess the impact of the COVID-19 lockdown on the quality of life of literate individuals in Pakistan. Methods: A cross-sectional, descriptive study was conducted from 25 April to 15 May, 2020 among literate Pakistani who understand the English language, aged 10+ years and had internet access. We selected 500 individuals to complete the McGill questionnaire online. Results: The response rate was 73% (n = 365): 49% males and 51% females. Around one third reported a moderate effect on overall quality of life. Financial life was moderately affected in 45% and both physical life and emotional life in 43% of participants. Spiritual life was excellent in 69%. However, social life was severely affected in 56%. Mild depression was felt by 47% of respondents and 48% felt strongly supported during the COVID-19 lockdown. Conclusion: The COVID-19 lockdown made little difference to the quality of life of the literate population of Pakistan. A few aspects were moderately affected and social life was badly affected. Spiritual life improved for most individuals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it