Perception of Slum Dwelling Adults Regarding COVID-19 Vaccination
Bibliographic record
Abstract
Background: The SARS-CoV-2 COVID-19 pandemic has triggered the need to develop rapidly effective and safe vaccines that are the most important public health measures and most effective strategy to protect the population from coronavirus diseases (COVID-19). The slum people are deprived of advanced medical facilities due to low socio-economic conditions. Objectives: The present study was conducted to assess slum dwellers’ knowledge and perceptions towards COVID-19 vaccination. Methods: A descriptive cross-sectional survey was conducted among 305 adult slum people using convince sampling technique. An interviewer guided by face-to-face interviewing using semi-structured. The chi-square test was applied to evaluate the correlations among the respondents between knowledge and perception of the COVID-19 vaccine. A 95% confidence interval was used and statistical significance was p ˂0.01. Results: Overall, the mean ± SD age of the respondents was 35.39 ± 11.62 years. Only 35.7% of respondents believed vaccines to be effective in controlling COVID-19. Among the respondents, 71.8% received the COVID-19 vaccine. Nearly 83.3% of respondents believed that the COVID-19 vaccine has side effects. Though over half of the respondents, about 60% had the trust that the vaccines were safe for them, still a significant number as 40% of respondents had concern the vaccine safety. Conclusion: The study revealed that about two-thirds received vaccination while others had not good conception regarding COVID-19 vaccination because of slum dwellers had a low literacy level, low adherence to health safety regulations and low confidence in the healthcare system.
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 | 0.040 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".