Knowledge, Attitude and Practice towards Prevention and Control of Lassa Fever among Health Workers and Residents in Asaba, Delta State of Nigeria
Bibliographic record
Abstract
BACKGROUND: Nigeria has experienced repeated outbreaks of Lassa fever over the years, with cases reported in Asaba, Delta State as well. A number of measures to prevent and control the spread of Lassa fever in Delta State have been carried out. This study was conducted to determine the knowledge, attitude and practices of health workers and residents in Asaba towards the prevention and control of Lassa fever, particularly after prevention and control measures had been instituted. METHODS: A cross‑sectional descriptive survey was conducted among health workers and residents in Asaba. Self‑administered questionnaires were used as the instrument of the study. All collected data were cleaned, sorted and entered into the spreadsheet of Statistical Package for the Social Sciences (SPSS) version 22 for analysis. RESULTS: A total of 400 completed questionnaires were retrieved, with 63.5% of respondents being females and 36.5% males. About 85.5% of respondents were aware that rats were the vectors of Lassa fever, but only 10.3% knew that ribavirin was the drug of choice for treatment of the condition. Bagging of waste at home was carried out by 64.3% of the study population, while 55.7% did that at work. As much as 21.5% of the subjects claimed they had been bitten by a rat, while 76% said they soak and drink garri. As much as 41.9% of health workers indicated they would not know what to do if they came in contact with a suspected or confirmed case of Lassa fever, and only 19.3% said they used personal protective equipment at work. CONCLUSIONS: The findings suggest that practices of health workers and residents in Asaba put many of them at high risk of contracting Lassa fever. RECOMMENDATION: Stricter enforcement of control measures on a long‑term basis is required to achieve positive behaviour change with regard to prevention and control of Lassa fever.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".