4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A generalizable one health framework for the control of zoonotic diseases

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Effectively preventing and controlling zoonotic diseases requires a One Health approach that involves collaboration across sectors responsible for human health, animal health (both domestic and wildlife), and the environment, as well as other partners. Here we describe the Generalizable One Health Framework (GOHF), a five-step framework that provides structure for using a One Health approach in zoonotic disease programs being implemented at the local, sub-national, national, regional, or international level. Part of the framework is a toolkit that compiles existing resources and presents them following a stepwise schematic, allowing users to identify relevant resources as they are required. Coupled with recommendations for implementing a One Health approach for zoonotic disease prevention and control in technical domains including laboratory, surveillance, preparedness and response, this framework can mobilize One Health and thereby enhance and guide capacity building to combat zoonotic disease threats at the human–animal–environment interface.

          Related collections

          Most cited references63

          • Record: found
          • Abstract: found
          • Article: not found

          Risk factors for human disease emergence.

          A comprehensive literature review identifies 1415 species of infectious organism known to be pathogenic to humans, including 217 viruses and prions, 538 bacteria and rickettsia, 307 fungi, 66 protozoa and 287 helminths. Out of these, 868 (61%) are zoonotic, that is, they can be transmitted between humans and animals, and 175 pathogenic species are associated with diseases considered to be 'emerging'. We test the hypothesis that zoonotic pathogens are more likely to be associated with emerging diseases than non-emerging ones. Out of the emerging pathogens, 132 (75%) are zoonotic, and overall, zoonotic pathogens are twice as likely to be associated with emerging diseases than non-zoonotic pathogens. However, the result varies among taxa, with protozoa and viruses particularly likely to emerge, and helminths particularly unlikely to do so, irrespective of their zoonotic status. No association between transmission route and emergence was found. This study represents the first quantitative analysis identifying risk factors for human disease emergence.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Urbanization and Disease Emergence: Dynamics at the Wildlife–Livestock–Human Interface

            Urbanization is characterized by rapid intensification of agriculture, socioeconomic change, and ecological fragmentation, which can have profound impacts on the epidemiology of infectious disease. Here, we review current scientific evidence for the drivers and epidemiology of emerging wildlife-borne zoonoses in urban landscapes, where anthropogenic pressures can create diverse wildlife–livestock–human interfaces. We argue that these interfaces represent a critical point for cross-species transmission and emergence of pathogens into new host populations, and thus understanding their form and function is necessary to identify suitable interventions to mitigate the risk of disease emergence. To achieve this, interfaces must be studied as complex, multihost communities whose structure and form are dictated by both ecological and anthropological factors.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              PulseNet: the molecular subtyping network for foodborne bacterial disease surveillance, United States.

              PulseNet, the national molecular subtyping network for foodborne disease surveillance, was established by the Centers for Disease Control and Prevention and several state health department laboratories to facilitate subtyping bacterial foodborne pathogens for epidemiologic purposes. PulseNet, which began in 1996 with 10 laboratories typing a single pathogen (Escherichia coli O157:H7), now includes 46 state and 2 local public health laboratories and the food safety laboratories of the U.S. Food and Drug Administration and the U.S. Department of Agriculture. Four foodborne pathogens (E. coli O157:H7; nontyphoidal Salmonella serotypes, Listeria monocytogenes and Shigella) are being subtyped, and other bacterial, viral, and parasitic organisms will be added soon.
                Bookmark

                Author and article information

                Contributors
                ofu9@cdc.gov
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 May 2022
                21 May 2022
                2022
                : 12
                : 8588
                Affiliations
                [1 ]GRID grid.467923.d, ISNI 0000 0000 9567 0277, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, ; Atlanta, USA
                [2 ]GRID grid.419260.8, ISNI 0000 0000 9230 4992, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, ; Atlanta, USA
                [3 ]GRID grid.420153.1, ISNI 0000 0004 1937 0300, Food and Agriculture Organization of the United Nations (FAO), ; Rome, Italy
                [4 ]GRID grid.467642.5, ISNI 0000 0004 0540 3132, Center for Global Health, Centers for Disease Control and Prevention, ; Atlanta, USA
                Article
                12619
                10.1038/s41598-022-12619-1
                9124177
                35597789
                d072ae70-b007-4fa3-855f-1c66c660cae4
                © The Author(s) 2022

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 10 December 2021
                : 13 April 2022
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                epidemiology,infectious diseases
                Uncategorized
                epidemiology, infectious diseases

                Comments

                Comment on this article