Burden of Disease Due to Ambient Particulate Matter in Germany—Explaining the Differences in the Available Estimates

Myriam Tobollik (), Sarah Kienzler, Christian Schuster, Dirk Wintermeyer and Dietrich Plass
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Myriam Tobollik: German Environment Agency, Department Environmental Hygiene, Corrensplatz, 14195 Berlin, Germany
Sarah Kienzler: German Environment Agency, Department Environmental Hygiene, Corrensplatz, 14195 Berlin, Germany
Christian Schuster: German Environment Agency, Department Environmental Hygiene, Corrensplatz, 14195 Berlin, Germany
Dirk Wintermeyer: German Environment Agency, Department Environmental Hygiene, Corrensplatz, 14195 Berlin, Germany
Dietrich Plass: German Environment Agency, Department Environmental Hygiene, Corrensplatz, 14195 Berlin, Germany

IJERPH, 2022, vol. 19, issue 20, 1-16

Abstract: Ambient particulate matter (PM 2.5 ) pollution is an important threat to human health. The aim of this study is to estimate the environmental burden of disease (EBD) for the German population associated with PM 2.5 exposure in Germany for the years 2010 until 2018. The EBD method was used to quantify relevant indicators, e.g., disability-adjusted life years (DALYs), and the life table approach was used to estimate the reduction in life expectancy caused by long-term PM 2.5 exposure. The impact of varying assumptions and input data was assessed. From 2010 to 2018 in Germany, the annual population-weighted PM 2.5 concentration declined from 13.7 to 10.8 µg/m 3 . The estimates of annual PM 2.5 -attributable DALYs for all disease outcomes showed a downward trend. In 2018, the highest EBD was estimated for ischemic heart disease (101.776; 95% uncertainty interval (UI) 62,713–145,644), followed by lung cancer (60,843; 95% UI 43,380–79,379). The estimates for Germany differ from those provided by other institutions. This is mainly related to considerable differences in the input data, the use of a specific German national life expectancy and the selected relative risks. A transparent description of input data, computational steps, and assumptions is essential to explain differing results of EBD studies to improve methodological credibility and trust in the results. Furthermore, the different calculated indicators should be explained and interpreted with caution.

Keywords: air pollution; particulate matter; environmental burden of disease; disability-adjusted life year; Germany; life table; attributable deaths (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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