Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations

The Sylvatub system is a national surveillance program established in 2011 in France to monitor infections caused by Mycobacterium bovis, the main etiologic agent of bovine tuberculosis, in wild species. This participatory program, involving both national and local stakeholders, allowed us to monito...

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Main Authors: Calenge, Clément, Payne, Ariane, Réveillaud, Édouard, Richomme, Céline, Girard, Sébastien, Desvaux, Stéphanie
Format: Article
Language:English
Published: Peer Community In 2024-01-01
Series:Peer Community Journal
Online Access:https://peercommunityjournal.org/articles/10.24072/pcjournal.363/
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author Calenge, Clément
Payne, Ariane
Réveillaud, Édouard
Richomme, Céline
Girard, Sébastien
Desvaux, Stéphanie
author_facet Calenge, Clément
Payne, Ariane
Réveillaud, Édouard
Richomme, Céline
Girard, Sébastien
Desvaux, Stéphanie
author_sort Calenge, Clément
collection DOAJ
description The Sylvatub system is a national surveillance program established in 2011 in France to monitor infections caused by Mycobacterium bovis, the main etiologic agent of bovine tuberculosis, in wild species. This participatory program, involving both national and local stakeholders, allowed us to monitor the progression of the infection in three badger populations in clusters covering between 3222 km2 and 7698 km2 from 2013 to 2019. In each cluster, badgers were trapped and tested for M. bovis. Our first aim was to describe the dynamics of the infection in these clusters. We developed a Bayesian model of prevalence accounting for the spatial structure of the cases, the imperfect and variable sensitivity of the diagnostic tests, and the correlation of the infection status of badgers in the same commune caused by local factors (e.g., social structure and proximity to infected farms). This model revealed that the prevalence increased with time in one cluster (Dordogne/Charentes), decreased in the second cluster (Burgundy), and remained stable in the third cluster (Bearn). In all the clusters, the infection was strongly spatially structured, whereas the mean correlation between the infection status of the animals trapped in the same commune was negligible. Our second aim was to develop indicators for monitoring M. bovis infection by stakeholders of the program. We used the model to estimate, in each cluster, (i) the mean prevalence level at mid-period, and (ii) the proportion of the badger population that became infected in one year. We then derived two indicators of these two key quantities from a much simpler regression model, and we showed how these two indicators could be easily used to monitor the infection in the three clusters. We showed with simulations that these two simpler indicators were good approximations of these key quantities.
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spelling doaj-art-7f3e8b2ee6f9472abf2270299e320f302025-02-07T10:17:18ZengPeer Community InPeer Community Journal2804-38712024-01-01410.24072/pcjournal.36310.24072/pcjournal.363Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations Calenge, Clément0https://orcid.org/0000-0001-7741-8016Payne, Ariane1Réveillaud, Édouard2Richomme, Céline3https://orcid.org/0000-0002-5632-7796Girard, Sébastien4Desvaux, Stéphanie5Office Français de la Biodiversité -- Direction Surveillance, Évaluation, Données -- Unité Données et Appui Méthodologique, Saint Benoist, BP 20. 78612 Le Perray en Yvelines, FranceOffice Français de la Biodiversité -- Research and Scientific Support Direction, Service Santé Agri, 45100 OrléansRegional Directorate for Food of Nouvelle-Aquitaine, Limoges, FranceANSES, Nancy Laboratory for Rabies and Wildlife, Malzéville, FranceRegional Directorate for Food of Bourgogne-Franche-Comté, Dijon, FranceOffice Français de la Biodiversité -- Research and Scientific Support Direction , Service Santé Agri, 01330 Birieux, FranceThe Sylvatub system is a national surveillance program established in 2011 in France to monitor infections caused by Mycobacterium bovis, the main etiologic agent of bovine tuberculosis, in wild species. This participatory program, involving both national and local stakeholders, allowed us to monitor the progression of the infection in three badger populations in clusters covering between 3222 km2 and 7698 km2 from 2013 to 2019. In each cluster, badgers were trapped and tested for M. bovis. Our first aim was to describe the dynamics of the infection in these clusters. We developed a Bayesian model of prevalence accounting for the spatial structure of the cases, the imperfect and variable sensitivity of the diagnostic tests, and the correlation of the infection status of badgers in the same commune caused by local factors (e.g., social structure and proximity to infected farms). This model revealed that the prevalence increased with time in one cluster (Dordogne/Charentes), decreased in the second cluster (Burgundy), and remained stable in the third cluster (Bearn). In all the clusters, the infection was strongly spatially structured, whereas the mean correlation between the infection status of the animals trapped in the same commune was negligible. Our second aim was to develop indicators for monitoring M. bovis infection by stakeholders of the program. We used the model to estimate, in each cluster, (i) the mean prevalence level at mid-period, and (ii) the proportion of the badger population that became infected in one year. We then derived two indicators of these two key quantities from a much simpler regression model, and we showed how these two indicators could be easily used to monitor the infection in the three clusters. We showed with simulations that these two simpler indicators were good approximations of these key quantities. https://peercommunityjournal.org/articles/10.24072/pcjournal.363/
spellingShingle Calenge, Clément
Payne, Ariane
Réveillaud, Édouard
Richomme, Céline
Girard, Sébastien
Desvaux, Stéphanie
Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations
Peer Community Journal
title Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations
title_full Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations
title_fullStr Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations
title_full_unstemmed Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations
title_short Assessing the dynamics of  Mycobacterium bovis infection in three French badger populations
title_sort assessing the dynamics of mycobacterium bovis infection in three french badger populations
url https://peercommunityjournal.org/articles/10.24072/pcjournal.363/
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