Identification of novel risk factors for community-acquired Clostridium difficile infection using spatial statistics and geographic information system analyses.

Our study is the first to use spatial statistics and mixed models to identify important environmental risk factors for acquisition of C. difficile and adds to the growing evidence that farm practices may put patients at risk for important drug-resistant infections.