Developing a conceptual framework to improve understanding of AMR in livestock systems: translating research into policy and practice

点击翻译按钮获取中文摘要

It is estimated that by 2050 AMR infections will be the leading cause of death globally with a total economic cost of $100 trillion, with the overwhelming burden placed on LMICs (O'Neill report, 2016). Antimicrobial usage (AMU) in livestock has been shown to be an important driver of antimicrobial resistance (AMR) in animals and is associated with resistance in the clinical setting, with a recent review attributing 24% of AMR in humans to AMU in animals. Impacts on the wider environment are also well documented as is the potential for human exposure and transmission; although the latter are poorly quantified for livestock rearing scenarios. Agriculture's share of global antibiotic consumption is high and rising, as the demand for animal protein increases, especially in low and middle-income countries. Without considering the important role that the farmed and natural environment plays in contributing to the overall burden of AMR infection, and taking steps to reduce environmental AMR, efforts in other sectors may not prevent the post-antibiotic era that threatens modern medicine. We will consider the issue of AMR using a DPSEEA framework (Drivers-Pressure-State- Exposure-Effect-Action). This framework was designed to allow complex problems to be broken down into logical components, it also allows Actions and critical control points to be identified which lends itself to the application of control theory modelling approaches. We will produce a "blueprint" for an integrated surveillance, analysis, interpretation, modelling and policy translation approach that can be utilised for any livestock system in any LMIC to facilitate decision making, implementation of incentives and informing new policy around interventions to reduce AMU, AMR and risk to human health. This will reduce the economic and societal burden of AMR whilst ensuring associated economic costs of interventions are considered. Rather than trying to generate as much surveillance data, in as many livestock rearing systems, under as many management strategies as possible, we have instead taken an interdisciplinary approach to studying the impacts of feedlot production on antimicrobial usage and AMR in beef cattle as well as feedlot impacted environments. The rationale being that we can investigate this single livestock system, as an exemplar, in detail, including the impacts of cattle breeding and rearing systems combined with specific interventions including reduction of use of antibiotics as growth promoters, cessation of metaphylaxis at the point of recruitment to the feedlot and vaccination as an additional intervention. The use of dairy sourced calves as an additional risk factor due to increased antimicrobial usage (AMU) on dairy farms will also be investigated. Feedlot beef production is increasingly used instead of grassland production in much of Latin America and other parts of the world including LMICs in Latin America and beyond. It is ironic that as international efforts to tackle AMR increase (eg. the FAO, OIE and WHO Memorandum of Understanding, signed on the 30 May 2018) one of the remaining largely extensive, low AMU livestock systems is moving towards intensive, high AMU production systems. The impacts of this will be felt most keenly in LMICs where demand is increasingly most rapidly for affordable animal protein.