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Characteristics of One Health surveillance systems: A systematic literature review

Authors :
Theethawat Uea-Anuwong
Marion Bordier
Flavie Goutard
Aurélie Binot
Pascal Hendrikx
Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
National Institute of Veterinary Research [Hanoï] (NIVR)
Ministry of Agriculture and Rural Development [Hanoï] (MARD)
Kasetsart University - KU (THAILAND)
Kasetsart University (KU)
Département Systèmes Biologiques (Cirad-BIOS)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Laboratoire de Lyon [ANSES]
Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)
This work was funded in part by the French Ministry of Agriculture, the GREASE platform in partnership (www.grease-net.org) and the ComAcross project (www.onehealthsea.org/comacross) implemented with the financial support of the European Union (EuropeAid, INNOVATE contract 315-047
Source :
Preventive Veterinary Medicine, Preventive Veterinary Medicine, Elsevier, 2020, 181, pp.104560. ⟨10.1016/j.prevetmed.2018.10.005⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; The concept of One Health (OH) promotes the decompartmentalisation of human, animal, and ecosystem health for the more efficient and sustainable governance of complex health issues. This means that traditional boundaries between disciplines and sectors must be transgressed and that all relevant stakeholders must be involved in the definition and management of health problems. International efforts have been made to strengthen collaboration across sectors and disciplines and OH surveillance is strongly encouraged at global, national and local-level to efficiently manage hazards involving humans, animals and ecosystems.This concept is intuitively appealing and would suggest the enhanced performance and cost-effectiveness of surveillance systems, as compared to more conventional approaches. Nevertheless, confusion and uncertainty regarding the practical application, outcomes and impacts prevail. We believe that this is due to the lack of a conceptual and methodological framework which would (i) define the characteristics of OH surveillance, and (ii) identify the appropriate mechanisms for inter-sectoral and multi-disciplinary collaboration, to ensure that the surveillance system performs well, with regard to the objective, the context and the health hazard under surveillance.The objective of the study is to define the organisational and functional characteristics of OH surveillance systems, the context in which they are implemented, as well as the influential factors which may obstruct or support their implementation and performance. To achieve this, a systematic literature review of existing OH surveillance systems was conducted using the Prisma guidelines. The selected systems were assessed according to 38 predetermined variables. These allowed the characterisation of their objectives, organisation, functioning, performance and benefits. Data extraction was conducted using a spreadsheet and a database was built using an electronic multiple-choice questionnaire.The literature search identified a total of 1635 records. After the screening phase, 31 references were kept and 22 additional references retrieved from bibliographies were added. From these 53 selected documents, we retrieved 41 different surveillance systems in line with the definition proposed in this study. The analysis of this database enabled the identification of different dimensions and areas of collaboration. Barriers and levers for the implementation of OH surveillance systems were also identified and discussed.Based on our results, we propose a framework to characterise the organisation of collaboration for the governance and operation of an effective OH surveillance system.

Details

Language :
English
ISSN :
01675877
Database :
OpenAIRE
Journal :
Preventive Veterinary Medicine, Preventive Veterinary Medicine, Elsevier, 2020, 181, pp.104560. ⟨10.1016/j.prevetmed.2018.10.005⟩
Accession number :
edsair.doi.dedup.....dc805229c1351229a024eb6af02c1347
Full Text :
https://doi.org/10.1016/j.prevetmed.2018.10.005⟩