Public perception of healthcare system response to COVID-19: Findings from a web based observational study in Villavicencio, Colombia
Bibliographic record
Abstract
This study explores the community perceptions of COVID-19 and the healthcare system's response to it.: A web-based descriptive observational study was conducted on the general population during the third quarter of 2020 through the application of a survey via social media. Of the sample, 55% have minimal connection with prevention programs, while 66.3% received little or no information about COVID-19, and 69.62% were considered at risk of getting sick from COVID-19. Further, 73.14% were afraid to go to healthcare centers fearing the risk of becoming infected by COVID-19. The low-income population is at greater risk (OR 4.32), as well as those who have not been informed by their insurer of the risks of COVID-19 (OR 2.18). There is a need to strengthen the healthcare system and the quality and design of effective self-care educational interventions during the pandemic.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".