A spatial, social and environmental study of tuberculosis in China using statistical and GIS technology.

ABSTRACT: Tuberculosis (TB) remains a major public health problem in China, and its incidence shows certain regional disparities. Systematic investigations of the social and environmental factors influencing TB are necessary for the prevention and control of the disease. Data on cases were obtained from the Chinese Center for Disease and Prevention. Social and environmental variables were tabulated to investigate the latent factor structure of the data using exploratory factor analysis (EFA). Partial least square path modeling (PLS-PM) was used to analyze the complex causal relationship and hysteresis effects between the factors and TB prevalence. A geographically weighted regression (GWR) model was used to explore the local association between factors and TB prevalence. EFA and PLS-PM indicated sig

SUBMITTER: Sun W 

PROVIDER: S-EPMC4344675 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature