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.
hospital_infections
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.
https://www.esundhed.dk/Emner/Patienter-og-sygehuse/HAIBA/ (Capital Region of Denmark).