Local spatial variations analysis of smear-positive tuberculosis in Xinjiang using Geographically Weighted Regression model
Abstract Background The spatial interplay between socioeconomic factors and tuberculosis (TB) cases contributes to the understanding of regional tuberculosis burdens. Historically, local Poisson Geographically Weighted Regression (GWR) has allowed for the identification of the geographic disparities...
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| Main Authors: | , , , , |
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| Format: | Book |
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BMC,
2016-10-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |