A dataset containing the number of hospital acquired bacteremia, Clostridium difficile infections, and urinary tract infections in six hospitals in the Capital Region of Denmark 2015-2016.



A data frame with 432 rows and 5 variables:

  • hospital Abbreviated hospital name.

  • infection Type of infection. BAC: Bacteremia, CDI: Clostridium difficile infection. UTI: Urinary tract infection.

  • month First day of month.

  • n Number of cases.

  • days Number of risk days. A risk day is a patient day without infection.