Assessment of Awareness and Preventive Practice of Corona Virus (COVID-19) Among Communities; The Case of Kaffa Zone, South Western Ethiopia
Bibliographic record
Abstract
The severe acute respiratory syndrome coronavirus and resultant coronavirus disease (COVID-19) have evolved into a pandemic, requiring persons around the world to attend to rapidly changing messages about public health and take immediate actions. Related to this, community’s awareness toward the preventive practice of coronavirus is assessed. Hence, the purpose of this was to investigate the awareness and preventive practice among communities. Cross-sectional survey design was conducted among 400 participants. Simple random sampling, technique particularly lottery method was used to select the study participants. Data was collected by using questionnaire and observation. After the data was collected, data entry and analysis were done using SPSS version 26. Hence, data gathered using questionnaire and observation was computed by using simple descriptive statistics (percentage and frequencies). Regarding awareness level of communities 61% of respondents aware that covid-19 transmits from victim by hand shaking and close contacts. And hence, 37.8% of participants aware that awareness creation was done by health organization service centers. And hence, the findings in this study revealed that community’s awareness was high on each specific aspect of COVID-19 among the study participants. Communities are not still totally pay attention to aware about COVID 19, crisis. According to finding in this research communities wash their hand in order to prevent covid-19 better than the previous. Kaffa zone as well as stakeholders should have to provide ample information for all communities including urban and rural societies to aware about COVID-19 and practice how to prevent.
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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 | 0.015 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".