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Implementation of One Health surveillance systems: Opportunities and challenges - lessons learned from the OH-EpiCap application.
Tegegne, Henok Ayalew; Freeth, Frederick T A; Bogaardt, Carlijn; Taylor, Emma; Reinhardt, Johana; Collineau, Lucie; Prada, Joaquin M; Hénaux, Viviane.
Afiliação
  • Tegegne HA; University of Lyon - ANSES, Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, 69007 Lyon, France.
  • Freeth FTA; University of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
  • Bogaardt C; University of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
  • Taylor E; University of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
  • Reinhardt J; ANSES, Risk Assessment Department, Animal Health, Welfare, Feed and Vectors Risk Assessment Unit, 94700 Maisons-Alfort, France.
  • Collineau L; University of Lyon - ANSES, Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, 69007 Lyon, France.
  • Prada JM; University of Surrey, School of Veterinary Medicine, Guildford, GU2 7XH Surrey, United Kingdom.
  • Hénaux V; University of Lyon - ANSES, Laboratory of Lyon, Epidemiology and Support to Surveillance Unit, 69007 Lyon, France.
One Health ; 18: 100704, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38496337
ABSTRACT
As the complexity of health systems has increased over time, there is an urgent need for developing multi-sectoral and multi-disciplinary collaborations within the domain of One Health (OH). Despite the efforts to promote collaboration in health surveillance and overcome professional silos, implementing OH surveillance systems in practice remains challenging for multiple reasons. In this study, we describe the lessons learned from the evaluation of OH surveillance using OH-EpiCap (an online evaluation tool for One Health epidemiological surveillance capacities and capabilities), the challenges identified with the implementation of OH surveillance, and the main barriers that contribute to its sub-optimal functioning, as well as possible solutions to address them. We conducted eleven case studies targeting the multi-sectoral surveillance systems for antimicrobial resistance in Portugal and France, Salmonella in France, Germany, and the Netherlands, Listeria in The Netherlands, Finland and Norway, Campylobacter in Norway and Sweden, and psittacosis in Denmark. These evaluations facilitated the identification of common strengths and weaknesses, focusing on the organization and functioning of existing collaborations and their impacts on the surveillance system. Lack of operational and shared leadership, adherence to FAIR data principles, sharing of techniques, and harmonized indicators led to poor organization and sub-optimal functioning of OH surveillance systems. In the majority of studied systems, the effectiveness, operational costs, behavioral changes, and population health outcomes brought by the OH surveillance over traditional surveillance (i.e. compartmentalized into sectors) have not been evaluated. To this end, the establishment of a formal governance body with representatives from each sector could assist in overcoming long-standing barriers. Moreover, demonstrating the impacts of OH-ness of surveillance may facilitate the implementation of OH surveillance systems.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article