Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.05.28.542608

Knowledge, attitudes and biosecurity practices among the small-scale dairy farmers in Sylhet District, Bangladesh

Abstract

BackgroundIn the context of zoonosis, Bangladeshs small-scale dairying is yet to frame satisfactory levels due to poor biosecurity practices. ObjectivesThis study intended to reveal the degree of knowledge, attitudes, and biosecurity practices among Sylhet district, Bangladeshs small-scale dairy farmers. We also focused on the association between biosecurity practices and the incidence of non-specific enteritis in humans. MethodsA questionnaire-based survey was conducted on the farmers KAP via personal interviews of 15 farmers from the randomly selected fifteen small-scale dairy farms. The questionnaire was developed with six questions for knowledge, six questions for attitude, and 12 questions for the practice of biosecurity measures. Alongside that, data on the number of non-specific enteritis cases experienced by the farmers or their family members were also recorded. Spearman correlation was used to find out the correlation among KAP variables and between practice scores and non-specific enteritis incidences. ResultsWe found an insignificant (p > 0.05) influence of demographic characteristics over knowledge, attitude, and biosecurity practices. Significant (p<0.05) and strong correlations were found in knowledge-attitude (r = 0.65), knowledge-practice (r = 0.71), and attitude-practice (r = 0.64). Incidences of non-specific enteritis and biosecurity measures practice were also strongly correlated (r = -0.9232) and statistically significant (p<0.05). ConclusionsOur study suggests that increasing knowledge and developing a good attitude are necessary to increase the adaptation of biosecurity measures as three of these factors are correlated. Also, farm biosecurity measures are closely related to human health.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Chowdhury, T., Ahmed, J., Hossain, M. T., Roy, M. C., Zaman, M. A.-U., Uddin, M. N., Rahman, M. M., Kabir, M. G., Hossain, F. M. A.. 2023-05-30. Knowledge, attitudes and biosecurity practices among the small-scale dairy farmers in Sylhet District, Bangladesh. https://doi.org/10.1101/2023.05.28.542608

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Evaluating Large Language Models as Tools to Navigate Researchers in Rapidly Evolving Research Landscapes: A Case Study in Cancer Drug Response Prediction

Large Language Models (LLMs) have emerged as promising tools for assisting researchers in automating and accelerating the synthesis of literature reviews. However, their reliability is a significant concern due to issues like factual inaccuracies and hallucinations. The key question is whether LLMs can reliably provide comprehensive, up-to-date overviews and analyses. This study evaluates the performance of three leading LLMs (OpenAI's ChatGPT, Google's Gemini, and DeepSeek) on the complex task of generating a comprehensive survey paper on deep learning for cancer Drug Response Prediction (DRP). By testing both standard and Deep Research (DR) / Deep Think (DT) modes of LLMs with prompts of varying detail, this paper assesses key academic dimensions, including reference management, content quality, and analytical depth. Key findings reveal that while DR modes of LLMs significantly improve reliability by eliminating hallucinations, performance variations exist across models and prompts. A trade-off between reference quantity and integration quality was observed, and even the best-performing models lacked the analytical depth of human experts, often requiring extensive human supervision. The study concludes that LLMs currently serve as powerful assistive tools but still cannot replace the critical validation and synthesis provided by human researchers. Choosing the best LLM to use depends on the task in hand, while several strategies can be implemented to improve the produced output.

scientific communication and education↗

Building capacity among caregivers for managing children with Type 1 Diabetes Mellitus through a structured Interprofessional training program

BackgroundEffective management of type 1 diabetes mellitus (T1DM) in children necessitates not only medical care but also substantial involvement from caregivers, who often encounter psychological, financial, and emotional challenges. This study aimed to develop and evaluate a structured educational program for caregivers of children with T1DM, facilitated by an interprofessional team. MethodsThis mixed-method study, conducted from May 15 to August 15, 2023, comprised two parts. First, a structured educational module was developed based on a needs assessment from semi-structured interviews with 20 caregivers. The module was created in English, Hindi, and Khortha (the local language of Deoghar, Jharkhand, India) and validated by a panel of 10 experts (CVI = 0.83). It was delivered using audio-visual aids, live demonstrations, posters, and booklets. The programs effectiveness was evaluated through a pre-post-test questionnaire. ResultsThe interviews revealed themes such as misunderstandings of treatment plans, distress from frequent insulin administration, fear of glucose monitoring, financial burdens, and psychological stress. Data from 68 of the 75 caregivers who participated in the educational program were analyzed. The Wilcoxon signed-rank test indicated a significant improvement in caregiver knowledge and management practices (P < 0.001), with a large effect size (Cohens d = 3.2). ConclusionThis study demonstrates that structured educational interventions can significantly enhance caregivers knowledge and practices in managing T1DM. Multidisciplinary education and support are crucial for addressing the emotional and financial burdens caregivers face, ultimately improving the well-being of both caregivers and children.

scientific communication and education↗

Craving Connections: Exploring the Relationship Between Pregnancy Cravings, Maternal Health, and Child Preferences in Indian Families

Although Pregnancy cravings are a common phenomenon, their implications on maternal health, family dietary habits, and child food preferences remain underexplored, particularly in the Indian context. This study aimed to investigate the prevalence and nature of pregnancy cravings among Indian women and their potential impact on maternal health outcomes and family dietary patterns. A cross-sectional survey was conducted with 119 women who had experienced pregnancy, collecting data on craving patterns, maternal health indicators, and perceived influences on family diet. Results revealed that most women craved sugary snacks, predominantly in the second trimester. Notably, 61.9% of participants cravings did not align with their spouses food preferences, suggesting potential shifts in family dietary habits. The study also found associations between cravings, mood swings, and morning sickness, highlighting the complex interplay of physiological and psychological factors during pregnancy. These findings underscore the need for culturally sensitive, personalised prenatal care that address both the nutritional and emotional aspects of pregnancy cravings, influencing long-term family health outcomes.

scientific communication and education↗