根据肉鸡养殖户对生物安全的行为差异对其进行分组,以预防高致病性禽流感

IF 4.1 2区 医学 Q1 INFECTIOUS DISEASES One Health Pub Date : 2024-07-03 DOI:10.1016/j.onehlt.2024.100852
Hai-ni Pao , Elizabeth L. Jackson , Tsang-sung Yang , Jyan-syung Tsai , Yi-ting Hwang , Watson H.T. Sung , Dirk U. Pfeiffer
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引用次数: 0

摘要

高致病性禽流感(HPAI)是一种重要的人畜共患病。本研究旨在确定农民的行为类型,为设计行为改变计划提供信息,以减少高致病性禽流感的传播。因此,本研究采用了多元统计分析,以更好地了解养殖户的 30 种生物安全行为、感染高致病性禽流感的风险以及商品肉鸡养殖户的不同特征之间的关系,这有别于使用简单的二元生物安全措施。研究采用便利抽样法收集了 303 个台湾养殖户的数据,其中 40 个养殖户(13.2%)自述在研究年度爆发过高致病性禽流感,16 个养殖户(5.3%)自述在过去两年爆发过高致病性禽流感。通过分类主成分分析和两阶段聚类分析,确定了四个具有明显特征的养殖户聚类:1)"保留"(4.6%)在回答有关高致病性禽流感的具体问题时倾向于选择 "不知道";2)"安全"(76.3%)的生物安全状况高于其他农场;3)"受到危害"(16.8%)的生物安全状况低于其他农场;4)"不回答"(2.3%)倾向于跳过有关高致病性禽流感的具体问题。保留 "和 "未回复 "群组的生物安全状况未确定,这些猪场有感染高致病性禽流感的风险。与 "安全 "群组相比,"濒危 "群组在研究年度(OR:2.61,95% CI:1.22-5.58)和过去两年(OR:4.28,95% CI:1.39-13.19)自我报告感染高致病性禽流感的几率更高。此外,"受到危害 "群组显示高致病性禽流感复发几率增加(OR:4.01,95% CI:1.41-11.43)。我们的研究表明,不适当的生物安全措施会增加高致病性禽流感疫情的发生或复发。研究结果强调了区分这些群组以准确评估各养殖场感染高致病性禽流感风险的重要性。此外,了解养殖户的行为可为制定旨在改变养殖户行为的策略提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Clustering broiler farmers based on their behavioural differences towards biosecurity to prevent highly pathogenic avian influenza

Highly pathogenic avian influenza (HPAI) is an important zoonotic disease. The study aims to identify farmer behaviour types to inform the design of behaviour change programmes for mitigating the transmission of HPAI. Therefore, the study utilised multivariate statistical analysis for gaining a better understanding of the relationships among farmers' 30 biosecurity behaviours, the risk of HPAI infection, and distinct features of commercial broiler farmers, which is different from using simple and few binary biosecurity measures. Convenience sampling was used to collect data from 303 Taiwan's farmers among which 40 farmers (13.2%) self-reported having had a HPAI outbreak in the study year while 16 farmers (5.3%) self-reported having had a HPAI outbreak in the past two years. Using categorical principal components analysis and a two-stage cluster analysis, four farmer clusters were identified with distinct features: 1)‘Reserved’ (4.6%) tended to choose ‘No idea’ for answering specific questions about HPAI; 2)‘Secure’ (76.3%) had a higher biosecurity status than the other farms; 3) ‘Jeopardised’ (16.8%) had a lower biosecurity status than the other farms; 4) ‘No-response’ (2.3%) tended to skip specific questions about HPAI. The biosecurity status of the ‘Reserved’ and ‘No-response’ clusters was undetermined, placing these farms at risk of HPAI infection. Compared to the ‘Secure’ cluster, the ‘Jeopardised’ cluster exhibited higher odds of self-reported HPAI in the study year (OR: 2.61, 95% CI: 1.22–5.58) and in the past two years (OR: 4.28, 95% CI: 1.39–13.19). Additionally, the ‘Jeopardised’ cluster showed increased odds of HPAI recurrence (OR: 4.01, 95% CI: 1.41–11.43). Our study demonstrates that inadequate biosecurity practices can elevate the occurrence or recurrence of HPAI outbreaks. The findings underscore the importance of distinguishing between these clusters to accurately assess the risk of HPAI infection across farms. Furthermore, understanding farmers' behaviours can inform the development of strategies aimed at behaviour change among farmers.

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来源期刊
One Health
One Health Medicine-Infectious Diseases
CiteScore
8.10
自引率
4.00%
发文量
95
审稿时长
18 weeks
期刊介绍: One Health - a Gold Open Access journal. The mission of One Health is to provide a platform for rapid communication of high quality scientific knowledge on inter- and intra-species pathogen transmission, bringing together leading experts in virology, bacteriology, parasitology, mycology, vectors and vector-borne diseases, tropical health, veterinary sciences, pathology, immunology, food safety, mathematical modelling, epidemiology, public health research and emergency preparedness. As a Gold Open Access journal, a fee is payable on acceptance of the paper. Please see the Guide for Authors for more information. Submissions to the following categories are welcome: Virology, Bacteriology, Parasitology, Mycology, Vectors and vector-borne diseases, Co-infections and co-morbidities, Disease spatial surveillance, Modelling, Tropical Health, Discovery, Ecosystem Health, Public Health.
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