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A tidy dataset showing infection counts by infection type, age group, and sex from the ECDC Point Prevalence Survey 2011 for Germany.

Usage

hai_data_clean

Format

A data frame with 190 rows and 4 variables:

Age_Group

Age band of patients, e.g., [1;4], [25;34].

Sex

Patient sex ("F" or "M").

Count

Number of infection cases in that stratum.

Infection_Type

HAP, UTI, SSI, BSI, CDI.

Source

Data derived from the BHAI package: Zacher et al. (2019), Application of a new methodology and R package reveals a high burden of healthcare-associated infections in Germany compared to the EU/EEA, 2011–2012.