Impact of the coronavirus disease 2019 pandemic on the Palestinian family: A cross-sectional study
Bibliographic record
Abstract
Introduction: The current study aims to understand and assess the consequences of the coronavirus disease 2019 pandemic on Palestinian families. Methods: This online community-based cross-sectional descriptive study was conducted between 19 April 2020 and 5 June 2020, using a validated questionnaire. The questionnaire comprised of three sections: sociodemographic characteristics, living conditions, and impact of the coronavirus disease 2019 pandemic. A convenience sampling method was used to select participants. Results: A total of 570 adults aged ⩾18 years participated in the study. Of them, 258 (45.3%), 120 (21%), and 192 (33.7%) were residing in the Gaza Strip, West Bank, and East Jerusalem, respectively. A large portion of participants (73.2%) reported that the containment measures of the coronavirus disease 2019 pandemic had caused an excessive burden on their families; 549 (96.3%) revealed that water supplies were not always available at home. However, paying attention to personal hygiene and home cleaning was more than usual before the announcement of the coronavirus disease 2019 pandemic. The mean times of going out of their homes have dropped significantly following the onset of the pandemic, p value = 0.001 (95% confidence interval). In addition, 192 (33.7%) participants reported that they changed to working remotely from home with 66 (11.6%) having lost their employment. Conclusion: The coronavirus disease 2019 pandemic was associated with an additional burden on the Palestinian families. Moreover, we suggest discussing the obtained results with local and national stakeholders to ensure that they know to improve their actions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".