Awareness of the Egyptian public about COVID-19: what we do and do not know
Bibliographic record
Abstract
To survey the health-seeking behaviors and perspectives of the Egyptian population toward the COVID-19 pandemic. A descriptive survey was designed and disseminated via social media platforms. The survey consisted of 32 questions addressing respondent's demographics, knowledge, practice, and attitude toward the COVID-19 pandemic. A total of 25,994 Egyptians participated in the survey from the 29 Egyptian governorates. More than 99% of the respondents were aware of the COVID-19 pandemic. Responses showed split opinions regarding whether people should wear gloves or masks to prevent COVID-19 infection (47.7% and 49.5% replied with "False", respectively). Almost one-quarter (23.1%) of the respondents went to crowded places during the last 14 days. Calling the emergency hotline and self-isolation at home were the most frequent practices to deal with COVID-19 symptoms (34.1% and 44.5%, respectively). A total of 85% of respondents reported their confidence in the Egyptian healthcare system to win the battle against COVID-19 despite the challenges. A vast majority of this large population sample reported reasonable knowledge levels and potentially appropriate practices toward COVID-19.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".