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

• Główni autorzy: Wang Wei (Autor), Jin Yuan-Yuan (Autor), Yan Ci (Autor), Alayi Ahan (Autor), Cao Ming-Qin (Autor)
• Format: Książka
• Wydane: BMC, 2016-10-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

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...