Germany HAI burden (2011–2012, PPS representative sample)

Median cases, attributable deaths, DALYs, and DALYs per 100,000 by infection type. Values mirror Zacher et al. (2019) using the ECDC PPS 2011–2012 and BHAI methodology.

Usage

germany_burden

germany_burden

Format

A tibble with 5 rows x 5 columns:

hai_type

Infection type: HAP, UTI, BSI, SSI, CDI

cases

Estimated annual cases (median)

deaths

Attributable deaths (median)

dalys

DALYs (median)

dalys_per100k

DALYs per 100,000 population (median)

A tibble with 5 rows and 5 variables:

hai_type

HAP, UTI, BSI, SSI, CDI

cases

Estimated cases (count)

deaths

Attributable deaths (count)

dalys

DALYs (count)

dalys_per100k

DALYs per 100,000 population

Source

Zacher et al., Euro Surveill 2019.