Title |
Assessing the effects of variables and background selection on the capture of the tick climate niche
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Published in |
International Journal of Health Geographics, September 2013
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DOI | 10.1186/1476-072x-12-43 |
Pubmed ID | |
Authors |
Agustín Estrada-Peña, Adrián Estrada-Sánchez, David Estrada-Sánchez, José de la Fuente |
Abstract |
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). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Unknown | 80 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 22% |
Researcher | 16 | 20% |
Student > Bachelor | 10 | 12% |
Student > Master | 10 | 12% |
Professor | 5 | 6% |
Other | 8 | 10% |
Unknown | 15 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 30 | 37% |
Veterinary Science and Veterinary Medicine | 11 | 13% |
Environmental Science | 7 | 9% |
Nursing and Health Professions | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Other | 9 | 11% |
Unknown | 19 | 23% |