I. Tekki, C. I. Odita, V. I. Ifende, C. Meseko, A. Bala, L. Konzing, T. E. Aneke, P. Ezekiel, M. Muhammad
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Binary logistic regression models were used to determine the strength of the association. Logistic regression models were statistically significant for the combination of sex and tertiary educational background to predict likelihood that respondents would eat all parts of dog meat, χ2 (2) = 7.023, P-value = 0.03. The effect size was between 6.2% (Cox and Snell R2) and 8.4% (Nagelkerke R2) of the variance in likelihood to eat all parts of dog meat and correctly classified as 60.9% of cases. Educational background was the only statistically significant predictor variable (p-value=0.016; 95% CI: 0.16– 0.83), as respondents in the higher educational cadre (tertiary) have a better perception of risk of rabies and are not likely to eat all parts of the dog meat nor a rabid dog. The study reveals the significance of taking appropriate actions to ensure rabies control and prevention, rather than having mere head knowledge of the disease. 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引用次数: 0
摘要
通过非典型方式暴露狂犬病的风险,如处理接种疫苗情况不确定的狗,处理/加工和食用狗肉,使公众启蒙不可避免。在尼日利亚高原州的三个主要狗市场的狗销售/屠宰地点和狗肉销售点,对狗训训员、狗肉训训员和消费者进行了横断面研究。通过面对面访谈或自我填写的方式,随机对150名受访者进行结构化问卷调查。收集的数据使用IBM®SPSS®statistics version 23.0进行分析。采用卡方关联检验确定社会人口学特征与应答者狂犬病暴露感知风险之间的关系。使用二元逻辑回归模型来确定关联的强度。结合性别和高等教育程度的Logistic回归模型预测受访者吃狗肉的可能性有统计学意义,χ2 (2) = 7.023, p值= 0.03。效应量在6.2% (Cox and Snell R2)和8.4% (Nagelkerke R2)之间,正确分类为60.9%的病例。教育背景是唯一具有统计学意义的预测变量(p值=0.016;95% CI: 0.16 - 0.83),因为高等教育干部(大专)的受访者对狂犬病风险有更好的认识,他们不太可能吃狗肉的所有部分,也不太可能吃患狂犬病的狗。这项研究揭示了采取适当行动以确保狂犬病控制和预防的重要性,而不是仅仅对这种疾病有初步的了解。严格的政策禁止滥用狗只交易、未经检查的屠宰和不当处理狗肉,是防止疾病通过非典型途径入侵的必要步骤。
Assessment of Perception of Rabies Infection Risk among Dog Handlers and Dog Meat Consumers in Plateau State, Nigeria
The risk of rabies exposure via atypical means such as handling dogs that have uncertain vaccination status, handling/processing and eating dog meat make public enlightenment inevitable. A cross-sectional study was conducted among dog handlers, dog meat handlers, and consumers at dog sales/slaughter locations and sales points of dog meat in the three major dog markets in Plateau State, Nigeria. Structured questionnaires were randomly administered to 150 respondents via face-to-face interviews or self-administered. Data collected were analyzed using IBM® SPSS® statistics version 23.0. Chi-squared test of association was conducted to determine the relationship between socio-demographic characteristics and perceived risk of rabies exposure among respondents. Binary logistic regression models were used to determine the strength of the association. Logistic regression models were statistically significant for the combination of sex and tertiary educational background to predict likelihood that respondents would eat all parts of dog meat, χ2 (2) = 7.023, P-value = 0.03. The effect size was between 6.2% (Cox and Snell R2) and 8.4% (Nagelkerke R2) of the variance in likelihood to eat all parts of dog meat and correctly classified as 60.9% of cases. Educational background was the only statistically significant predictor variable (p-value=0.016; 95% CI: 0.16– 0.83), as respondents in the higher educational cadre (tertiary) have a better perception of risk of rabies and are not likely to eat all parts of the dog meat nor a rabid dog. The study reveals the significance of taking appropriate actions to ensure rabies control and prevention, rather than having mere head knowledge of the disease. Strict policies against indiscriminate dog trade, uninspected slaughter, and improper processing of dog meat, are necessary steps to prevent disease incursions via atypical means.