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猪健康多维评估指数。

An index for multidimensional assessment of swine health.

机构信息

Program on Science, Technology and Society, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.

Section of Metodology of Science, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico City, Mexico.

出版信息

Trop Anim Health Prod. 2021 Jan 6;53(1):75. doi: 10.1007/s11250-020-02552-8.

Abstract

Pork accounts for almost one-third of the meat consumed worldwide. Infectious diseases have a marked impact on pig production. Epidemiological indicators are considered the most useful criteria in decision-making; however, a health status assessment remains a challenge at the national and regional levels. This study proposes a health index including herd-losses, morbidity, fatality, and type of diseases, to rate the health situation in a region or country; it contributes to assessing the effectiveness of control, damage manifestation, and trends. It is a multidimensional index with a structure of triads and simple quantitative, semi-quantitative, and qualitative expressions that use flexible and dynamics limits. With it, we analyzed twenty-one countries in 2005-2018, focusing on African swine fever, classical swine fever, foot-mouth-disease, and porcine respiratory and reproductive syndrome, diseases that caused 72% of the morbidity. Our multidimensional approach estimates farm, local, and regional impact from infectious agents and outbreaks, and apprises trends aiming to be useful to control measures, strategic actions, and animal health policies.

摘要

猪肉占全球肉类消费的近三分之一。传染病对养猪业有显著影响。流行病学指标被认为是决策中最有用的标准;然而,在国家和地区层面,健康状况评估仍然是一个挑战。本研究提出了一个包括畜群损失、发病率、死亡率和疾病类型的健康指数,以评估一个地区或国家的健康状况;它有助于评估控制效果、损害表现和趋势。这是一个多维指数,采用三联体结构和简单的定量、半定量和定性表达式,使用灵活和动态的限制。我们使用该指数分析了 2005 年至 2018 年的 21 个国家,重点关注非洲猪瘟、经典猪瘟、口蹄疫和猪呼吸与繁殖综合征,这些疾病导致了 72%的发病率。我们的多维方法估计了传染病和疫情对农场、当地和地区的影响,并评估了趋势,旨在为控制措施、战略行动和动物健康政策提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/7785921/6370801dabc7/11250_2020_2552_Fig1_HTML.jpg

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