The Impact of COVID-19 on Members of the Saudi Community: Perceptions and Expectations From the Pandemic
Bibliographic record
Abstract
Background and purpose Community individuals and sectors worldwide, including health, security, economy, education, and occupation, are being challenged to confront the coronavirus disease 2019 (COVID-19) pandemic. The deadly virus originated in Wuhan city in China and spread globally to other countries on account of its rapid mode of transmission. Solidarity and cooperation were vital elements in mitigating the COVID-19 pandemic all around the globe. Actions of solidarity among countries included gathering the world's leading experts to discuss the latest research and innovation while working to promote knowledge and empowerment across the communities. The purpose of this study was to explore the influence of the COVID-19 pandemic on different aspects of the Saudi community, including health, education, finance, lifestyle, and others. We also wanted to identify the perceptions of the general Saudi population regarding the impact of the pandemic and its long-term effects. Methodology This cross-sectional study was conducted from March 2020 to February 2021 among individuals across the Kingdom of Saudi Arabia. The online self-developed survey was disseminated to thousands of individuals in the Saudi community and yielded 920 responses. Results Roughly 49% of the studied participants postponed their dental and cosmetic center appointments, and 31% reported delayed periodic health appointments in hospitals and primary healthcare centers. Around 64% reported missing hearing "Tarawih/Qiyam" Islamic prayers. Furthermore, 38% of the study respondents reported being anxious and stressed, 23% reported having sleeping disorders, and 16% wanted to be isolated from the community. On the other hand, the COVID-19 pandemic helped approximately 65% of the studied participants to abstain from ordering from restaurants and cafes. Additionally, 63% of them reported gaining new skills or behaviors during the pandemic. Many participants (54%) thought that after the curfew recession, they will face financial challenges while 44% assumed that life will not return to what it used to be. Conclusion The COVID-19 pandemic has had a multidimensional impact on Saudi society, which has affected both individuals and the community as a whole. Some of the short-term perceived impacts involved interruption in the provision of health care, poor mental well-being, financial hardship, challenges related to homeschooling and working from home, and the inability to fulfill spiritual needs. On the bright side, community individuals demonstrated the ability to learn and develop during the pandemic by striving to acquire knowledge and new skills.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".