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      Search term “One Health” remains of limited use to identify relevant scientific publications: Denmark as a case study

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          Abstract

          One Health has become a popular approach, and scientific advancements in the field should be easily findable and accessible to a wide range of relevant audiences, from researchers to policymakers, and across sectors. We conducted a systematic narrative review of available scientific publications concerning One Health in the setting of Denmark that were retrievable using “One Health” as the key search term. Three searches in two databases yielded 30 retrieved publications, 13 of which were included in the review. The included publications had been published between 2015 and 2021. Twelve of the included publications were co-authored in collaboration across institutes from different sectors. Three of the included publications had focus on antimicrobial resistance, three on disease surveillance and/or control, and five were assessments or evaluations. The overall number of publications identified by a search using “One Health” as the key search term was small, and the search identified some publications that were not relevant to One Health. Our work thus highlights a missed scientific and communication opportunity of signposting articles as relevant to One Health. Using the expression “One Health” as keyword could help making One Health research more easily findable and thereby obtaining an overview of research in the field.

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          Most cited references23

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            The concept of health in One Health and some practical implications for research and education: what is One Health?

            From a strict biological point of view, humans are just one species among other species, albeit one with very special capacities, characteristics, and skills. Among scientists, it is generally acknowledged that we share many features with other animal species, which are certainly relevant when the concepts of health and disease are discussed. The term ‘One Health’ is used in many different contexts and by people with varying backgrounds. However, there appears to be some confusion as to what the term really means, and it is used in a wide range of contexts, often including or bordering concepts such as infection biology, contagious diseases, zoonotic infections, evolutionary medicine, comparative medicine, and translational medicine. Without claiming to present the one and only true interpretation, we will argue for a wide approach using the ‘umbrella’ depiction developed by One Health Sweden. We argue that this one should, compared to other demarcations, be more useful to science. We will also analyze the concept of health on different levels: individual, population, and ecosystem health, and describe how these levels inherently influence each other for both humans and animals. Both these choices are normative and have practical consequences for research and education, a way of reasoning which we develop further in this paper. Finally, we conclude that the choice of term for the approach might be normative in deciding which disciplines or parts of disciplines that may be included.
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              A sampling and metagenomic sequencing-based methodology for monitoring antimicrobial resistance in swine herds.

              Reliable methods for monitoring antimicrobial resistance (AMR) in livestock and other reservoirs are essential to understand the trends, transmission and importance of agricultural resistance. Quantification of AMR is mostly done using culture-based techniques, but metagenomic read mapping shows promise for quantitative resistance monitoring.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                28 July 2022
                2022
                : 10
                : 938460
                Affiliations
                [1] 1Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut , Copenhagen, Denmark
                [2] 2Infectious Disease Preparedness, Statens Serum Institut , Copenhagen, Denmark
                [3] 3Department of Public Health, Global Health Section, University of Copenhagen , Copenhagen, Denmark
                Author notes

                Edited by: Jens Andre Hammerl, Bundesinstitut für Risikobewertung, Germany

                Reviewed by: Malathi Raghavan, Purdue University, United States

                *Correspondence: Guido Benedetti gube@ 123456ssi.dk

                This article was submitted to Public Health Policy, a section of the journal Frontiers in Public Health

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpubh.2022.938460
                9368311
                35968488
                cac4a160-aade-4925-bf50-c5e649989fa3
                Copyright © 2022 Benedetti, Jokelainen and Ethelberg.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 May 2022
                : 01 July 2022
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 39, Pages: 6, Words: 4171
                Categories
                Public Health
                Mini Review

                one health,denmark,literature,search term,systematic review,fair

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