TY - JOUR
T1 - Implementation of the One Health approach to fight arbovirus infections in the Mediterranean and Black Sea Region
T2 - Assessing integrated surveillance in Serbia, Tunisia and Georgia
AU - the MeSA Working Group
AU - Dente, Maria Grazia
AU - Riccardo, Flavia
AU - Bolici, Francesco
AU - Colella, Nello Augusto
AU - Jovanovic, Verica
AU - Drakulovic, Mitra
AU - Vasic, Milena
AU - Mamlouk, Habiba
AU - Maazaoui, Latifa
AU - Bejaoui, Mondher
AU - Zakhashvili, Khatuna
AU - Kalandadze, Irine
AU - Imnadze, Paata
AU - Declich, Silvia
AU - Knjeginic, Vesna
AU - Stojkovic, Borka
AU - Labus, Tatjana
AU - Milicevic, Vesna
AU - Veljovic, Ljubisa
AU - Maksimovic-Zoric, Jelena
AU - Stoiljkovic, Vera
AU - Svetlana, F.
AU - Protic, Jelena
AU - Zgomba, Marija
AU - Petric, Dusan
AU - Despot, Dragana
AU - Pesic, Branislav
AU - Serovic, Katarina
AU - Aleksic, Ivan
AU - Djuric, Ivana
AU - Ilic, Dragan
AU - Vrga, Svetlana
AU - Pavlovic, Ljiljana
AU - Plavsa, Dragana
AU - Grego, Edita
AU - Dr, M.
AU - Harabech, Kaouther
AU - Ministère, D.
AU - Nissaf, B.
AU - Bougatef, Souha
AU - Triki, Henda
AU - Bouattour, Ali
AU - Rebhi, Mohamed
AU - Daaboub, Jabeur
AU - Somai, Lamia
AU - Zerlli, Malek
AU - Oukaili, Kaouther
AU - Heni, H.
AU - Sghaier, Chedia
AU - Babuadze, Giorgi
N1 - Publisher Copyright:
© 2019 The Authors. Zoonoses and Public Health Published by Blackwell Verlag GmbH.
PY - 2019/5
Y1 - 2019/5
N2 - Background: In the Mediterranean and Black Sea Region, arbovirus infections are emerging infectious diseases. Their surveillance can benefit from one health inter-sectoral collaboration; however, no standardized methodology exists to study One Health surveillance. Methods: We designed a situation analysis study to document how integration of laboratory/clinical human, animal and entomological surveillance of arboviruses was being implemented in the Region. We applied a framework designed to assess three levels of integration: policy/institutional, data collection/data analysis and dissemination. We tested the use of Business Process Modelling Notation (BPMN) to graphically present evidence of inter-sectoral integration. Results: Serbia, Tunisia and Georgia participated in the study. West Nile Virus surveillance was analysed in Serbia and Tunisia, Crimea-Congo Haemorrhagic Fever surveillance in Georgia. Our framework enabled a standardized analysis of One Health surveillance integration, and BPMN was easily understandable and conducive to detailed discussions among different actors/institutions. In all countries, we observed integration across sectors and levels except in data collection and data analysis. Data collection was interoperable only in Georgia without integrated analysis. In all countries, surveillance was mainly oriented towards outbreak response, triggered by an index human case. Discussion: The three surveillance systems we observed prove that integrated surveillance can be operationalized with a diverse spectrum of options. However, in all countries, the integrated use of data for early warning and inter-sectoral priority setting is pioneeristic. We also noted that early warning before human case occurrence is recurrently not operationally prioritized.
AB - Background: In the Mediterranean and Black Sea Region, arbovirus infections are emerging infectious diseases. Their surveillance can benefit from one health inter-sectoral collaboration; however, no standardized methodology exists to study One Health surveillance. Methods: We designed a situation analysis study to document how integration of laboratory/clinical human, animal and entomological surveillance of arboviruses was being implemented in the Region. We applied a framework designed to assess three levels of integration: policy/institutional, data collection/data analysis and dissemination. We tested the use of Business Process Modelling Notation (BPMN) to graphically present evidence of inter-sectoral integration. Results: Serbia, Tunisia and Georgia participated in the study. West Nile Virus surveillance was analysed in Serbia and Tunisia, Crimea-Congo Haemorrhagic Fever surveillance in Georgia. Our framework enabled a standardized analysis of One Health surveillance integration, and BPMN was easily understandable and conducive to detailed discussions among different actors/institutions. In all countries, we observed integration across sectors and levels except in data collection and data analysis. Data collection was interoperable only in Georgia without integrated analysis. In all countries, surveillance was mainly oriented towards outbreak response, triggered by an index human case. Discussion: The three surveillance systems we observed prove that integrated surveillance can be operationalized with a diverse spectrum of options. However, in all countries, the integrated use of data for early warning and inter-sectoral priority setting is pioneeristic. We also noted that early warning before human case occurrence is recurrently not operationally prioritized.
KW - Crimean Congo Haemorrhagic Fever
KW - One Health
KW - West Nile virus
KW - arboviruses
KW - surveillance
KW - vector-borne infections
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U2 - 10.1111/zph.12562
DO - 10.1111/zph.12562
M3 - Article
C2 - 30724030
AN - SCOPUS:85061025963
SN - 1863-1959
VL - 66
SP - 276
EP - 287
JO - Zoonoses and Public Health
JF - Zoonoses and Public Health
IS - 3
ER -