Bartlett Harriet, Holmes Mark A, Petrovan Silviu O, Williams David R, Wood James L N, Balmford Andrew
Department of Zoology, University of Cambridge, Cambridge, UK.
Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
R Soc Open Sci. 2022 Jun 22;9(6):211573. doi: 10.1098/rsos.211573. eCollection 2022 Jun.
It has been argued that intensive livestock farming increases the risk of pandemics of zoonotic origin because of long-distance livestock movements, high livestock densities, poor animal health and welfare, low disease resistance and low genetic diversity. However, data on many of these factors are limited, and analyses to date typically ignore how land use affects emerging infectious disease (EID) risks, and how these risks might vary across systems with different yields (production per unit area). Extensive, lower yielding practices typically involve larger livestock populations, poorer biosecurity, more workers and more area under farming, resulting in different, but not necessarily lower, EID risks than higher yielding systems producing the same amount of food. To move this discussion forward, we review the evidence for each of the factors that potentially link livestock production practices to EID risk. We explore how each factor might vary with yield and consider how overall risks might differ across a mix of production systems chosen to reflect in broad terms the current livestock sector at a global level and in hypothetical low- and high-yield systems matched by overall level of production. We identify significant knowledge gaps for all potential risk factors and argue these shortfalls in understanding mean we cannot currently determine whether lower or higher yielding systems would better limit the risk of future pandemics.
有人认为,集约化畜牧业增加了人畜共患病大流行的风险,原因包括牲畜长途运输、牲畜密度高、动物健康和福利状况差、抗病能力低以及遗传多样性低。然而,关于其中许多因素的数据有限,而且迄今为止的分析通常忽略了土地利用如何影响新发传染病(EID)风险,以及这些风险在不同产量(单位面积产量)的养殖系统中可能如何变化。粗放式、低产养殖方式通常涉及更多的牲畜数量、更差的生物安全措施、更多的工人以及更大的养殖面积,这导致与生产相同数量食物的高产系统相比,新发传染病风险虽有所不同,但不一定更低。为推动这一讨论,我们回顾了将畜牧生产实践与新发传染病风险潜在联系起来的各因素的证据。我们探讨了每个因素如何随产量变化,并考虑在一系列生产系统组合中总体风险可能如何不同,这些生产系统旨在大致反映全球层面当前的畜牧部门,以及在总体产量水平相匹配的假设低产和高产系统中。我们确定了所有潜在风险因素存在的重大知识空白,并认为这些理解上的不足意味着我们目前无法确定低产或高产系统是否能更好地限制未来大流行的风险。