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      Twenty-year trends in antimicrobial resistance from aquaculture and fisheries in Asia

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          Abstract

          Antimicrobial resistance (AMR) is a growing threat to human and animal health. However, in aquatic animals—the fastest growing food animal sector globally—AMR trends are seldom documented, particularly in Asia, which contributes two-thirds of global food fish production. Here, we present a systematic review and meta-analysis of 749 point prevalence surveys reporting antibiotic-resistant bacteria from aquatic food animals in Asia, extracted from 343 articles published in 2000–2019. We find concerning levels of resistance to medically important antimicrobials in foodborne pathogens. In aquaculture, the percentage of antimicrobial compounds per survey with resistance exceeding 50% (P50) plateaued at 33% [95% confidence interval (CI) 28 to 37%] between 2000 and 2018. In fisheries, P50 decreased from 52% [95% CI 39 to 65%] to 22% [95% CI 14 to 30%]. We map AMR at 10-kilometer resolution, finding resistance hotspots along Asia’s major river systems and coastal waters of China and India. Regions benefitting most from future surveillance efforts are eastern China and India. Scaling up surveillance to strengthen epidemiological evidence on AMR and inform aquaculture and fisheries interventions is needed to mitigate the impact of AMR globally.

          Abstract

          Trends in antimicrobial resistance (AMR) in aquatic food animals are seldom documented, particularly in Asia. Here, Schar et al. review 749 point prevalence surveys, describing AMR trends in Asian aquaculture and fisheries over two decades, and identifying resistance hotspots as well as regions that would benefit most from future surveillance efforts.

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          Regression Shrinkage and Selection Via the Lasso

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            The global distribution and burden of dengue

            Dengue is a systemic viral infection transmitted between humans by Aedes mosquitoes 1 . For some patients dengue is a life-threatening illness 2 . There are currently no licensed vaccines or specific therapeutics, and substantial vector control efforts have not stopped its rapid emergence and global spread 3 . The contemporary worldwide distribution of the risk of dengue virus infection 4 and its public health burden are poorly known 2,5 . Here we undertake an exhaustive assembly of known records of dengue occurrence worldwide, and use a formal modelling framework to map the global distribution of dengue risk. We then pair the resulting risk map with detailed longitudinal information from dengue cohort studies and population surfaces to infer the public health burden of dengue in 2010. We predict dengue to be ubiquitous throughout the tropics, with local spatial variations in risk influenced strongly by rainfall, temperature and the degree of urbanisation. Using cartographic approaches, we estimate there to be 390 million (95 percent credible interval 284-528) dengue infections per year, of which 96 million (67-136) manifest apparently (any level of clinical or sub-clinical severity). This infection total is more than three times the dengue burden estimate of the World Health Organization 2 . Stratification of our estimates by country allows comparison with national dengue reporting, after taking into account the probability of an apparent infection being formally reported. The most notable differences are discussed. These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue. We anticipate that they will provide a starting point for a wider discussion about the global impact of this disease and will help guide improvements in disease control strategies using vaccine, drug and vector control methods and in their economic evaluation. [285]
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              The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

              Matthew Page and co-authors describe PRISMA 2020, an updated reporting guideline for systematic reviews and meta-analyses.
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                Author and article information

                Contributors
                dlschar@gmail.com
                thomas.vanboeckel@env.ethz.ch
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 September 2021
                10 September 2021
                2021
                : 12
                : 5384
                Affiliations
                [1 ]GRID grid.4989.c, ISNI 0000 0001 2348 0746, Spatial Epidemiology Laboratory, , Université Libre de Bruxelles, ; Brussels, Belgium
                [2 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Institute for Environmental Decisions, ETH Zurich, ; Zurich, Switzerland
                [3 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Center for Antibiotic Resistance Research, , University of Gothenburg, ; Gothenburg, Sweden
                [4 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Department of Infectious Diseases, Institute for Biomedicine, , University of Gothenburg, ; Gothenburg, Sweden
                [5 ]GRID grid.424470.1, ISNI 0000 0004 0647 2148, Fonds National de la Recherche Scientifique, ; Brussels, Belgium
                [6 ]Center for Diseases Dynamics, Economics, and Policy, New Delhi, India
                Author information
                http://orcid.org/0000-0002-8751-325X
                http://orcid.org/0000-0002-3176-0593
                http://orcid.org/0000-0003-2395-2373
                http://orcid.org/0000-0002-5496-0328
                http://orcid.org/0000-0002-6556-0952
                Article
                25655
                10.1038/s41467-021-25655-8
                8433129
                34508079
                4fe66dca-6904-4abb-a2fd-17f5019f6c5d
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 March 2021
                : 20 August 2021
                Categories
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                © The Author(s) 2021

                Uncategorized
                fisheries,microbial biooceanography,antimicrobial resistance,policy and public health in microbiology

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