Articles | Volume 24, issue 2
Standard article
04 Jul 2024
Standard article |  | 04 Jul 2024

Towards spatial predictions of disease transmission risk: classical scrapie spill-over from domestic small ruminants to wild cervids

Nuno Mouta, Leonor Orge, Joana Vicente, João Alexandre Cabral, José Aranha, João Carvalho, Rita Tinoco Torres, Jorge Pereira, Renata Carvalho, Maria Anjos Pires, and Madalena Vieira-Pinto

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Cited articles

Aghababaei, M., Ebrahimi, A., Naghipour, A. A., Asadi, E., and Verrelst, J.: Vegetation types mapping using multi-temporal landsat images in the google earth engine platform, Remote Sens., 13, 1–15,, 2021. 
Alcaraz-Segura, D., Lomba, A., Sousa-Silva, R., Nieto-Lugilde, D., Alves, P., Georges, D., Vicente, J. R., and Honrado, J. P.: Potential of satellite-derived ecosystem functional attributes to anticipate species range shifts, Int. J. Appl. Earth Obs. Geoinf., 57, 86–92,, 2017. 
Barbet-Massin, M., Jiguet, F., Albert, C. H., and Thuiller, W.: Selecting pseudo-absences for species distribution models: How, where and how many?, Methods Ecol. Evol., 3, 327–338,, 2012. 
Bastos, R., D'Amen, M., Marcos, B., Santos, M., Braz, L., Vicente, J., Honrado, J. P., Gonçalves, J., Monteiro, A., and Cabral, J. A.: Towards functional biodiversity predictions: a hierarchical modelling framework from primary productivity to biomass of upper trophic levels, Landsc. Ecol., 33, 2221–2237,, 2018. 
Beringue, V. and Andreoletti, O.: Classical and atypical TSE in small ruminants, Anim. Front., 4, 33–43,, 2014. 
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.