Li Yin, McIntyre K Marie, Rasmussen Philip, Gilbert William, Chaters Gemma, Raymond Kassy, Jemberu Wudu T, Larkins Andrew, Patterson Grace T, Kwok Stephen, Kappes Alexander James, Mayberry Dianne, Schrobback Peggy, Acosta Mario Herrero, Stacey Deborah A, Huntington Benjamin, Bruce Mieghan, Knight-Jones Theodore, Rushton Jonathan
Global Burden of Animal Diseases (GBADs) Programme; Commonwealth Scientific and Industrial Research Organization, Agriculture and Food, 4067 Brisbane, Australia; School of Veterinary Medicine and Centre for Biosecurity and One Health, Harry Butler Institute, Murdoch University, Australia.
Global Burden of Animal Diseases (GBADs) Programme; School of Natural and Environmental Sciences, Newcastle University, UK; Institute of Infection and Global Health, University of Liverpool, IC2 Building, 146 Brownlow Hill, Liverpool L3 5RF, UK.
Res Vet Sci. 2024 Mar;168:105102. doi: 10.1016/j.rvsc.2023.105102. Epub 2024 Jan 6.
The heterogeneity that exists across the global spectrum of livestock production means that livestock productivity, efficiency, health expenditure and health outcomes vary across production systems. To ensure that burden of disease estimates are specific to the represented livestock population and people reliant upon them, livestock populations need to be systematically classified into different types of production system, reflective of the heterogeneity across production systems. This paper explores the data currently available of livestock production system classifications and animal health through a scoping review as a foundation for the development of a framework that facilitates more specific estimates of livestock disease burdens. A top-down framework to classification is outlined based on a systematic review of existing classification methods and provides a basis for simple grouping of livestock at global scale. The proposed top-down classification framework, which is dominated by commodity focus of production along with intensity of resource use, may have less relevance at the sub-national level in some jurisdictions and will need to be informed and adapted with information on how countries themselves categorize livestock and their production systems. The findings in this study provide a foundation for analysing animal health burdens across a broad level of production systems. The developed framework will fill a major gap in how livestock production and health are currently approached and analysed.
全球畜牧生产领域存在的异质性意味着,不同生产系统的畜牧生产力、效率、健康支出和健康结果各不相同。为确保疾病负担估计针对所代表的畜牧群体及依赖这些群体的人群具有针对性,畜牧群体需要被系统地划分为不同类型的生产系统,以反映各生产系统间的异质性。本文通过范围综述探讨了目前可获取的畜牧生产系统分类和动物健康数据,以此作为开发一个有助于更具体地估计畜牧疾病负担的框架的基础。基于对现有分类方法的系统综述,概述了一种自上而下的分类框架,为在全球范围内对畜牧进行简单分组提供了依据。所提议的自上而下的分类框架以生产的商品重点以及资源利用强度为主导,在某些司法管辖区的国家以下层面可能相关性较低,需要依据各国对畜牧及其生产系统的分类方式提供的信息进行调整。本研究结果为分析广泛生产系统中的动物健康负担奠定了基础。所开发的框架将填补当前畜牧生产与健康研究方法和分析方面的一个重大空白。