Assessment of Farmers’ Knowledge, Attitude, and Practices Related to Milk-borne Zoonosis in District Muzaffarabad, Azad Jammu and Kashmir
Bibliographic record
Abstract
Background Milk-borne zoonotic diseases can be acquired by the consumption of nonpasteurized and infected dairy products. Zoonotic infections present a serious public health concern that is responsible for approximately 2.7 billion deaths annually worldwide. However, little is known about the attitudes and knowledge of the farmers regarding milk-borne zoonosis. Objective This study was performed with an aim to assess the knowledge, attitude, and practices (KAP) of farmers regarding milk-borne zoonosis. Methods This cross-sectional KAP study was conducted in District Muzaffarabad, Azad Jammu and Kashmir, from September 1 to October 30, 2019. A pretested structured questionnaire was used to collect information from respondents regarding different aspects of milk-borne zoonosis. All small dairy farms (n=56) with more than 5 animals in District Muzaffarabad were included in this study. Data were collected from respondents (n=100), with an inclusion criterion of having a dairy experience of more than 6 months. Results The findings show that almost 86% of the farmers were unable to name any milk-borne zoonotic disease. About 45.5% of the farmers were unaware of the fact that milk can be a potential source of disease transmission. None of the respondents had any idea about the pasteurization method, and 50% of them had no habit of checking milk quality. However, 81% of the respondents preferred to use boiled milk. Almost 28% of the farmers with high-level education were able to name at least one milk-borne zoonotic disease. The majority of the respondents (99%) did not receive any formal training about zoonotic diseases. Conclusions According to the study, the overall knowledge of farmers regarding milk-borne zoonosis is not adequate. Despite having a positive attitude, the practices of the respondents regarding milk handling were found to be poor. Awareness about important zoonotic diseases and their source of transmission should be created, and a one-health approach to deal with zoonotic infections should be adopted.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".