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Resumen: Modelling the environmental niche and spatial distribution of pathogen-transmitting arthropods involves various quality and methodological concerns related to using climate data to capture the environmental niche. This study tested the potential of MODIS remotely sensed and interpolated gridded covariates to estimate the climate niche of the medically important ticks Ixodes ricinus and Hyalomma marginatum. We also assessed model inflation resulting from spatial autocorrelation (SA) and collinearity (CO) of covariates used as time series of data (monthly values of variables), principal components analysis (PCA), and a discrete Fourier transformation. Performance of the models was measured using area under the curve (AUC), autocorrelation by Moran’s I, and collinearity by the variance inflation factor (VIF).
Idioma: Inglés
DOI: 10.1186/1476-072X-12-43
Año: 2013
Publicado en: International Journal of Health Geographics 12 (2013), 43 [13 pp]
ISSN: 1476-072X
Factor impacto JCR: 1.967 (2013)
Categ. JCR: PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH rank: 34 / 143 = 0.238 (2013) - Q1 - T1
Financiación: info:eu-repo/grantAgreement/EC/FP7/278976/EU/ANTIcipating the Global Onset of Novel Epidemics/ANTIGONE
Tipo y forma: Article (Published version)
Área (Departamento): Área Sanidad Animal (Dpto. Patología Animal)

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