%0 Journal Article
%T Spatial epidemiology and spatial ecology study of worldwide drug-resistant tuberculosis
%A Yunxia Liu
%A Shiwen Jiang
%A Yanxun Liu
%A Rui Wang
%A Xiao Li
%A Zhongshang Yuan
%A Lixia Wang
%A Fuzhong Xue
%J International Journal of Health Geographics
%D 2011
%I BioMed Central
%R 10.1186/1476-072x-10-50
%X Anti-TB drug resistance data were obtained from the World Health Organization/International Union Against Tuberculosis and Lung Disease (WHO/UNION) Global Project on Anti-Tuberculosis Drug Resistance Surveillance, and data on ecological factors were collected to explore the ecological factors for DR-TB. Partial least square path modeling (PLS-PM), in combination with ordinary least squares (OLS) regression, as well as geographically weighted regression (GWR), were used to build a global and local spatial regression model between the latent synthetic DR-TB factor ("DR-TB") and latent synthetic risk factors.OLS regression and PLS-PM indicated a significant globally linear spatial association between "DR-TB" and its latent synthetic risk factors. However, the GWR model showed marked spatial variability across the study regions. The "TB Epidemic", "Health Service" and "DOTS (directly-observed treatment strategy) Effect" factors were all positively related to "DR-TB" in most regions of the world, while "Health Expenditure" and "Temperature" factors were negatively related in most areas of the world, and the "Humidity" factor had a negative influence on "DR-TB" in all regions of the world.In summary, the influences of the latent synthetic risk factors on DR-TB presented spatial variability. We should formulate regional DR-TB monitoring planning and prevention and control strategies, based on the spatial characteristics of the latent synthetic risk factors and spatial variability of the local relationship between DR-TB and latent synthetic risk factors.Tuberculosis (TB) is a major cause of illness and death worldwide. The World Health Organization (WHO) estimated that there were 14 million prevalent TB cases (range, 12 million-16 million), 1.3 million deaths among HIV-negative people and 0.38 million deaths among HIV-positive people in 2009 [1]. Recently, drug-resistant TB (DR-TB), and especially multidrug-resistant TB (MDR-TB), has emerged as an increasingly important fac
%K drug-resistant tuberculosis
%K epidemiology
%K risk factors
%K Kriging method
%K partial least square path modeling (PLS-PM)
%K geographical weighted regression (GWR)
%U http://www.ij-healthgeographics.com/content/10/1/50