Correction: Tobollik et al. Burden of Disease Due to Traffic Noise in Germany. Int. J. Environ. Res. Public Health 2019, 16, 2304.

The authors wish to make the following corrections to this paper [...].

Burden of Disease Due to Traffic Noise in Germany.

Traffic noise is nearly ubiquitous and thus can affect the health of many people. Using the German noise mapping data according to the Directive 2002/49/EC of 2017 and exposure-response functions for ischemic heart disease, noise annoyance and sleep disturbance assessed by the World Health Organization's Environmental Noise Guidelines for the European Region the burden of disease due to traffic noise is quantified. The burden of disease is expressed in disability-adjusted life years (DALYs) and its components. The highest burden was found for road traffic noise, with 75,896 DALYs when only considering moderate evidence. When including all available evidence, 176,888 DALYs can be attributable to road traffic noise. The burden due to aircraft and railway noise is lower because fewer people are exposed. Comparing the burden by health outcomes, the biggest share is due to ischemic heart disease (90%) in regard to aircraft noise, however, the lowest evidence was expressed for the association between traffic noise and ischemic heart disease. Therefore, the results should be interpreted with caution. Using alternative input parameters (e.g., exposure data) can lead to a much higher burden. Nevertheless, environmental noise is an important risk factor which leads to considerable loss of healthy life years.

[Environmental burden of disease in Germany]. / Umweltbedingte Krankheitslasten in Deutschland.

BACKGROUND: Environmental risk factors can have a substantial impact on population health. With the environmental burden of disease (EBD) approach, the health losses attributable to environmental risk factors can be quantified using disability-adjusted life years (DALY). OBJECTIVES: The aim of this article is to present and discuss available EBD estimates with a focus on Germany. MATERIALS: Using current EBD studies, the share of the burden of disease attributable to environmental risk factors globally and DALYs for Germany are presented. Ambient particulate matter (PM), water-related risks and environmental noise are used as examples to emphasize the importance of availability and quality of input data for burden of disease assessments. RESULTS: The share of the global burden of disease attributable to environmental risk factors varies according to the available studies and lies between 13 and 22%. For Germany, EBD estimates are available for 12 environmental risk factors. Most estimates are available for particulate matter in ambient air, however, the estimated burden differs greatly. Nonetheless, according to current knowledge, particulate matter pollution is the environmental risk factor with the highest burden of disease in Germany. CONCLUSIONS: Differences in the estimated burden of disease for the considered risk factors are due to varying underlying assumptions, e. g. for life expectancy or counterfactual value and the input data used.