Relevance of the synergy of surveillance and populational networks in understanding the Usutu virus outbreak within common blackbirds (Turdus merula) in Metropolitan France, 2018

Bouchez-Zacria Malika, Calenge Clément, Villers Alexandre, Lecollinet Sylvie, Gonzalez Gaëlle, Quintard Benoit, Leclerc Antoine, Baurier Florence, Paty Marie-Claire, Faure Eva, Eraud Cyril, Decors Anouk. 2025. Relevance of the synergy of surveillance and populational networks in understanding the Usutu virus outbreak within common blackbirds (Turdus merula) in Metropolitan France, 2018. Peer Community Journal, 5:e9, 58 p.

https://doi.org/10.24072/pcjournal.513

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Url - autres données associées : https://github.com/ClementCalenge/usutuFrance / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.10992191 / Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.10992555

Résumé : Usutu virus (USUV) was first isolated in Africa in 1959 and has since spread to and through Europe with a typical enzootic mosquito-bird cycle. In France, it was first detected in birds in 2015, but during summer 2018 the spread of USUV was particularly significant throughout the country, killing mainly common blackbirds (Turdus merula) and to a lesser extent great grey owls (Strix nebulosa), among other captive and non-captive wild bird species. Previous studies of USUV in France have focused on reconstructing pathways of introduction, but not on structural aspects of virus spread within the country. Data (RT-PCR of geolocated dead birds) on this 2018 outbreak were collected through both an event-based wildlife network named SAGIR and the health surveillance of the French-speaking Association of Zoo Veterinarians (AFVPZ). In addition, common blackbird populations could be monitored through another network (REZOP). Statistical analysis (spatial, temporal, spatiotemporal and environmental determinants) of the SAGIR and AFVPZ network data helped to highlight the early appearance of separate large clusters of USUV cases in mid-July 2018, the subsequent diffusion into smaller and secondary clusters at the end of August 2018, and a meanwhile enlargement of the first clusters with an increase in the number of cases. High human density (top 10.5% densest areas in France) and wetland concentration (top 19.3% most likely wetland areas) were significant factors in USUV case locations. Using generalised additive mixed models on REZOP data, we also highlighted the decline in common blackbird population trends in areas with medium and even more with high USUV pressure (areas defined based on SAGIR-AFVPZ data) following the 2018 outbreak (respectively −7.4% [−11.4; −3.9]95% and −15.7% [−16.2; −9.1]95%). A large area (radius ∼150 km) in the centre and centre-west of France, and smaller areas in the south-east, north and north-east of France (each with a radius ∼ 50 km) were particularly affected. We conclude on the importance to work with synergistic networks to assess infection spread in wild bird species, as well as the negative impact of an emerging arbovirus. The responsiveness of such a network system could be improved by automating alerts.

Mots-clés Agrovoc : surveillance épidémiologique, oiseau, merle, évaluation de l'impact, épidémiologie, modèle de simulation, dynamique des populations, méthode statistique, hibou, flavivirus

Mots-clés géographiques Agrovoc : France

Mots-clés libres : Usutu virus, Modeling, Population dynamics modeling, Blackbirds, Grey owls, Clusters, Participatory science, Surveillance, Observer networks