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      Quantification of antimicrobial use in Fijian livestock farms

      research-article
      a , a , * , a , c , b
      One Health
      Elsevier
      Quantification, Antimicrobial use, Farm enterprises, Farming systems, Fiji

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          Abstract

          Antimicrobial resistance (AMR) is a major threat to humans and animals globally. Antimicrobial stewardship has been acknowledged as a primary strategy to tackle AMR. An important first step for antimicrobial stewardship is to quantify antimicrobial use (AMU). In Fiji, there are currently no data on AMU in livestock farms. This study aimed to quantify AMU in different livestock enterprises (beef, dairy, broiler, and layer) and farming systems (backyard, semi-commercial and commercial) in Central and Western divisions of Viti Levu, Fiji. A survey with 210 livestock farmers and 26 managers representing 276 enterprises was conducted between May and September 2019. The difference in AMU between different livestock enterprises and farming systems was investigated using ANOVA. In Fiji, the estimated annual antibiotic use in livestock was lower than the global average (44 compared with 118 mg/PCU). However, this use was concentrated in 56% of participant farms (the remaining 44% did not use antimicrobials). Total estimated quarterly anthelmintic use (20,797 mg) was not affected by farming systems but was highest ( P < 0.001) in dairy enterprises (24,120 mg) and lowest in broiler enterprises (4 mg). Quarterly antibiotic use was different between the enterprises regardless of the metrics used to quantify the use ( P < 0.05). Total estimated quarterly mg/PCU of antibiotic use was highest ( P < 0.001) in broiler enterprises (12.4 mg/PCU) and lowest in beef enterprises (0.2 mg/PCU). For all other ESVAC metrics, total estimated antibiotic use was higher in poultry and lower in cattle enterprises. Backyard systems used less antibiotics (total mg) than commercial systems, but for other metrics, the trend was reversed. The use of both antibiotics and anthelmintics (rather than antibiotics or anthelmintics alone, or no AMU) was associated with dairy enterprises (Χ 2 = 123, P < 0.001). Further studies should be conducted to quantify and evaluate the drivers of AMU in Fijian livestock farms. In addition, differences in AMU between different enterprises and farming systems suggest that strategies to reduce AMU should be tailored to specific settings.

          Highlights

          • A little over half (56%) of 276 livestock enterprises surveyed in Fiji used antimicrobials.

          • 22% of these enterprises used only antibiotics, 16% used only anthelmintics, 18% used both antibiotics and anthelmintics.

          • Highest quarterly antibiotic use (12.4 mg/PCU) was in broiler enterprises and anthelmintics use (24,120 mg) in dairy enterprises.

          • Estimated annual antibiotic use of 44 mg/PCU in Fijian livestock farms (beef, dairy, broiler, and layer) is lower than the global average of 118 mg/PCU.

          • Evidence that antibiotic use (mg/PCU) tended to be higher in Fijian backyard systems compared with semi-commercial and commercial systems

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          Most cited references38

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          Global trends in antimicrobial use in food animals.

          Demand for animal protein for human consumption is rising globally at an unprecedented rate. Modern animal production practices are associated with regular use of antimicrobials, potentially increasing selection pressure on bacteria to become resistant. Despite the significant potential consequences for antimicrobial resistance, there has been no quantitative measurement of global antimicrobial consumption by livestock. We address this gap by using Bayesian statistical models combining maps of livestock densities, economic projections of demand for meat products, and current estimates of antimicrobial consumption in high-income countries to map antimicrobial use in food animals for 2010 and 2030. We estimate that the global average annual consumption of antimicrobials per kilogram of animal produced was 45 mg⋅kg(-1), 148 mg⋅kg(-1), and 172 mg⋅kg(-1) for cattle, chicken, and pigs, respectively. Starting from this baseline, we estimate that between 2010 and 2030, the global consumption of antimicrobials will increase by 67%, from 63,151 ± 1,560 tons to 105,596 ± 3,605 tons. Up to a third of the increase in consumption in livestock between 2010 and 2030 is imputable to shifting production practices in middle-income countries where extensive farming systems will be replaced by large-scale intensive farming operations that routinely use antimicrobials in subtherapeutic doses. For Brazil, Russia, India, China, and South Africa, the increase in antimicrobial consumption will be 99%, up to seven times the projected population growth in this group of countries. Better understanding of the consequences of the uninhibited growth in veterinary antimicrobial consumption is needed to assess its potential effects on animal and human health.
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            The threat of antimicrobial resistance in developing countries: causes and control strategies

            The causes of antimicrobial resistance (AMR) in developing countries are complex and may be rooted in practices of health care professionals and patients’ behavior towards the use of antimicrobials as well as supply chains of antimicrobials in the population. Some of these factors may include inappropriate prescription practices, inadequate patient education, limited diagnostic facilities, unauthorized sale of antimicrobials, lack of appropriate functioning drug regulatory mechanisms, and non-human use of antimicrobials such as in animal production. Considering that these factors in developing countries may vary from those in developed countries, intervention efforts in developing countries need to address the context and focus on the root causes specific to this part of the world. Here, we describe these health-seeking behaviors that lead to the threat of AMR and healthcare practices that drive the development of AMR in developing countries and we discuss alternatives for disease prevention as well as other treatment options worth exploring.
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              Livestock production: recent trends, future prospects

              The livestock sector globally is highly dynamic. In developing countries, it is evolving in response to rapidly increasing demand for livestock products. In developed countries, demand for livestock products is stagnating, while many production systems are increasing their efficiency and environmental sustainability. Historical changes in the demand for livestock products have been largely driven by human population growth, income growth and urbanization and the production response in different livestock systems has been associated with science and technology as well as increases in animal numbers. In the future, production will increasingly be affected by competition for natural resources, particularly land and water, competition between food and feed and by the need to operate in a carbon-constrained economy. Developments in breeding, nutrition and animal health will continue to contribute to increasing potential production and further efficiency and genetic gains. Livestock production is likely to be increasingly affected by carbon constraints and environmental and animal welfare legislation. Demand for livestock products in the future could be heavily moderated by socio-economic factors such as human health concerns and changing socio-cultural values. There is considerable uncertainty as to how these factors will play out in different regions of the world in the coming decades.
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                Author and article information

                Contributors
                Journal
                One Health
                One Health
                One Health
                Elsevier
                2352-7714
                13 September 2021
                December 2021
                13 September 2021
                : 13
                : 100326
                Affiliations
                [a ]Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, PO Box 237, Reading RG6 6EU, United Kingdom
                [b ]School of Chemistry, Food and Pharmacy, University of Reading, Whiteknights, Reading RG6 6DZ, United Kingdom
                [c ]The Nature Conservancy, 4245 North Fairfax Drive, Suite 100 Arlington, Virginia 22203, USA
                Author notes
                [* ]Corresponding author at: Department of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P O Box 237, Earley Gate, Reading RG6 6EU, Berkshire, United Kingdom. c.rymer@ 123456reading.ac.uk
                Article
                S2352-7714(21)00116-6 100326
                10.1016/j.onehlt.2021.100326
                8449124
                42114860-3d10-491f-a0ce-4b17652834e7
                © 2021 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 May 2021
                : 10 September 2021
                : 11 September 2021
                Categories
                Research Paper

                quantification,antimicrobial use,farm enterprises,farming systems,fiji

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