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

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 of TB c...

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Detalles Bibliográficos
Autores principales: Wei, Wang, Yuan-Yuan, Jin, Ci, Yan, Ahan, Alayi, Ming-Qin, Cao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053120/
https://www.ncbi.nlm.nih.gov/pubmed/27716319
http://dx.doi.org/10.1186/s12889-016-3723-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053120/
https://www.ncbi.nlm.nih.gov/pubmed/27716319
http://dx.doi.org/10.1186/s12889-016-3723-4

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