GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal

Since April 2011, Portugal has implemented specific national legislation (Notice No. 1/2011), defining “Epidemiologic Risk Areas for Bovine Tuberculosis in Large Game” and mitigation measures in these areas, including Idanha-a-Nova county. A GIS project was created to record information that would a...

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Main Authors: José Aranha, Ana Carolina Abrantes, Raquel Gonçalves, Rui Miranda, João Serejo, Madalena Vieira-Pinto
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/11/8/2374
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author José Aranha
Ana Carolina Abrantes
Raquel Gonçalves
Rui Miranda
João Serejo
Madalena Vieira-Pinto
author_facet José Aranha
Ana Carolina Abrantes
Raquel Gonçalves
Rui Miranda
João Serejo
Madalena Vieira-Pinto
author_sort José Aranha
collection DOAJ
description Since April 2011, Portugal has implemented specific national legislation (Notice No. 1/2011), defining “Epidemiologic Risk Areas for Bovine Tuberculosis in Large Game” and mitigation measures in these areas, including Idanha-a-Nova county. A GIS project was created to record information that would allow us to analyse the spatial–temporal distribution, both for hunting bags and tuberculosis occurrence, in hunted wild boar and red deer in Idanha-a-Nova. Hunting bag and tuberculosis-like lesion data were recorded during post-mortem inspection across 11 hunting seasons, totalling 9844 animals. The difference in tuberculosis occurrence for these species was statistically significant in nearly all 11 seasons, with wild boars presenting approximately twice the occurrence of red deer. No significant difference was noted before and after the Notice No. 1/2011 implementation. These results, following GIS-based spatial analysis, enable us to state that both large game species displayed an irregular tuberculosis pattern for the 2006–2016 period, and we identified some specific areas of high risk for both species. Southern areas of the county may be considered the priority for intervention. This research demonstrates the potential of GIS tools to evaluate, in the field, the results and efficacy of legislation such as Notice No. 1/2011, and to ensure the correct implementation of cost-effective mitigation strategies for tuberculosis in large game species.
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spelling doaj.art-ce1e6fec004644d1ab9d1db3c20773c12023-11-22T06:31:11ZengMDPI AGAnimals2076-26152021-08-01118237410.3390/ani11082374GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in PortugalJosé Aranha0Ana Carolina Abrantes1Raquel Gonçalves2Rui Miranda3João Serejo4Madalena Vieira-Pinto5CITAB, Inov4Agro, University of Trás-os-Montes and Alto Douro (UTAD), Quinta de Prados, 5000-801 Vila Real, PortugalVeterinary and Animal Science Research Centre (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), 5001-801 Vila Real, PortugalDepartment of Veterinary Sciences, University of Trás-os-Montes and Alto Douro (UTAD), 5001-801 Vila Real, PortugalDepartment of Veterinary Sciences, University of Trás-os-Montes and Alto Douro (UTAD), 5001-801 Vila Real, PortugalIdanha-a-Nova Town Hall, 6060-163 Idanha-a-Nova, PortugalVeterinary and Animal Science Research Centre (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), 5001-801 Vila Real, PortugalSince April 2011, Portugal has implemented specific national legislation (Notice No. 1/2011), defining “Epidemiologic Risk Areas for Bovine Tuberculosis in Large Game” and mitigation measures in these areas, including Idanha-a-Nova county. A GIS project was created to record information that would allow us to analyse the spatial–temporal distribution, both for hunting bags and tuberculosis occurrence, in hunted wild boar and red deer in Idanha-a-Nova. Hunting bag and tuberculosis-like lesion data were recorded during post-mortem inspection across 11 hunting seasons, totalling 9844 animals. The difference in tuberculosis occurrence for these species was statistically significant in nearly all 11 seasons, with wild boars presenting approximately twice the occurrence of red deer. No significant difference was noted before and after the Notice No. 1/2011 implementation. These results, following GIS-based spatial analysis, enable us to state that both large game species displayed an irregular tuberculosis pattern for the 2006–2016 period, and we identified some specific areas of high risk for both species. Southern areas of the county may be considered the priority for intervention. This research demonstrates the potential of GIS tools to evaluate, in the field, the results and efficacy of legislation such as Notice No. 1/2011, and to ensure the correct implementation of cost-effective mitigation strategies for tuberculosis in large game species.https://www.mdpi.com/2076-2615/11/8/2374geostatistical analysisGISlarge gamered deerwild boarwild ungulates
spellingShingle José Aranha
Ana Carolina Abrantes
Raquel Gonçalves
Rui Miranda
João Serejo
Madalena Vieira-Pinto
GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal
Animals
geostatistical analysis
GIS
large game
red deer
wild boar
wild ungulates
title GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal
title_full GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal
title_fullStr GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal
title_full_unstemmed GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal
title_short GIS as an Epidemiological Tool to Monitor the Spatial–Temporal Distribution of Tuberculosis in Large Game in a High-Risk Area in Portugal
title_sort gis as an epidemiological tool to monitor the spatial temporal distribution of tuberculosis in large game in a high risk area in portugal
topic geostatistical analysis
GIS
large game
red deer
wild boar
wild ungulates
url https://www.mdpi.com/2076-2615/11/8/2374
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