Articles | Volume 24, issue 2
https://doi.org/10.5194/we-24-47-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/we-24-47-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Standard article
| 
04 Jul 2024
Standard article |
| 04 Jul 2024
| 04 Jul 2024
Towards spatial predictions of disease transmission risk: classical scrapie spill-over from domestic small ruminants to wild cervids
Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Rua Campo Alegre s/n, 4169-007 Porto, Portugal
CIBIO/InBIO – Research Centre in Biodiversity and Genetic Resources, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, 7, 4485-661, Vairão, Portugal
BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
Leonor Orge
Pathology Laboratory, UEISPSA, National Institute for Agricultural and Veterinary Research (INIAV), I.P., 2780-157 Oeiras, Portugal
Animal and Veterinary Research Centre (CECAV), and Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Universidade de Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
Joana Vicente
Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Rua Campo Alegre s/n, 4169-007 Porto, Portugal
CIBIO/InBIO – Research Centre in Biodiversity and Genetic Resources, Universidade do Porto, Campus de Vairão, Rua Padre Armando Quintas, 7, 4485-661, Vairão, Portugal
BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
João Alexandre Cabral
Centre for Research and Technology of Agro-Environment and Biological Sciences (CITAB), University of Trás-os-Montes e Alto Douro (UTAD), Quinta de Prados, 5000-801 Vila Real, Portugal
José Aranha
Centre for Research and Technology of Agro-Environment and Biological Sciences (CITAB), University of Trás-os-Montes e Alto Douro (UTAD), Quinta de Prados, 5000-801 Vila Real, Portugal
João Carvalho
Department of Biology and CESAM, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Rita Tinoco Torres
Department of Biology and CESAM, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Jorge Pereira
Department of Genetics and Biotechnology, School of Life and Environmental Sciences (ECVA), UTAD, Vila Real, Portugal
Renata Carvalho
Direção Geral de Alimentação e Veterinária (DGAV), Division of Epidemiology and Animal Health, Directorate of Animal Protection Services, Lisbon, Portugal
Maria Anjos Pires
Animal and Veterinary Research Centre (CECAV), and Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Universidade de Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
Department of Veterinary Sciences, School of Agrarian and Veterinary Sciences (ECAV), UTAD, Vila Real, Portugal
Madalena Vieira-Pinto
Animal and Veterinary Research Centre (CECAV), and Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), Universidade de Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
Direção Geral de Alimentação e Veterinária (DGAV), Division of Epidemiology and Animal Health, Directorate of Animal Protection Services, Lisbon, Portugal
Department of Veterinary Sciences, School of Agrarian and Veterinary Sciences (ECAV), UTAD, Vila Real, Portugal
Model code and software
Ensemble Platform for Species Distribution Modeling D. Georges https://www.rdocumentation.org/packages/biomod2/versions/3.4.6
Short summary
This study investigates classical scrapie (CS) and the risk of interspecies prion transmission by using presence data from wild cervids and infected small ruminant flocks. Employing remote sensing technologies, it derives vegetative and biophysical satellite indices to represent habitat features. A species distribution model integrates these data to identify suitable areas for CS and its hosts. The resultant consensus map and overlapping suitable areas create a detailed infection risk matrix.
This study investigates classical scrapie (CS) and the risk of interspecies prion transmission...
