Environmental Drivers and Predicted Risk of Bacillary Dysentery in Southwest China.

ABSTRACT: Bacillary dysentery has long been a considerable health problem in southwest China, however, the quantitative relationship between anthropogenic and physical environmental factors and the disease is not fully understand. It is also not clear where exactly the bacillary dysentery risk is potentially high. Based on the result of hotspot analysis, we generated training samples to build a spatial distribution model. Univariate analyses, autocorrelation and multi-collinearity examinations and stepwise selection were then applied to screen the potential causative factors. Multiple logistic regressions were finally applied to quantify the effects of key factors. A bootstrapping strategy was adopted while fitting models. The model was evaluated by area under the receiver operating characteristic c

SUBMITTER: Zhang H 

PROVIDER: S-EPMC5551220 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature