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Identification of novel risk factors for community-acquired Clostridium difficile infection using spatial statistics and geographic information system analyses
Author(s) -
D.J. Anderson,
L.F. Rojas,
S. Watson,
L.P. Knelson,
S. Pruitt,
S.S. Lewis,
R.W. Moehring,
E.E. Sickbert Bennett,
D.J. Weber,
L.F. Chen,
D.J. Sexton,
Cdc Prevention Epicenters Program
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/erx4-0d47
Subject(s) - clostridium difficile , identification (biology) , spatial analysis , statistics , geographic information system , geography , computer science , data mining , cartography , biology , microbiology and biotechnology , mathematics , ecology , antibiotics

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