Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Spatial autocorrelation is problematic for classical hierarchical cluster detection tests commonly used in multidrug resistant tuberculosis (MDR-TB) analyses as considerable random error can occur. Therefore, when MDR-TB clusters are spatially autocorrelated the assumption that the clusters are inde...

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Bibliographic Details
Main Authors: Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak
Format: Article
Language:English
Published: PAGEPress Publications 2010-05-01
Series:Geospatial Health
Subjects:
multi-drug resistant tuberculosis, geographical information system, digital elevation model, Poisson regression analyses, spatial eigenvector mapping, Peru.
Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/201

Internet

http://www.geospatialhealth.net/index.php/gh/article/view/201

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