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Fig. 5 | BMC Public Health

Fig. 5

From: Local spatial variations analysis of smear-positive tuberculosis in Xinjiang using Geographically Weighted Regression model

Fig. 5

The spatial mapping of local regression coefficients (NUMagen (a), PROmin (b), PROagr (c), per capita GDP (d), POPden (e), and intercept (f)) for each district/county, based on the calculation of the Geographically Weighted Regression (GWR) model. Dependent variable was the average number of smear-positive TB cases notified in Xinjiang during the period from 2004 to 2010

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BMC Public Health

ISSN: 1471-2458

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