Associations between Weather, Air Quality and Moderate Extreme Cancer-Related Mortality Events in Augsburg, Southern Germany
Bibliographic Data
| ID | 15462575 |
|---|---|
| Authors | Patrick Olschewski (0000-0002-9507-3645, University of Augsburg, corresponding author), Irena Kaspar‐Ott (0000-0002-5151-201X, University of Augsburg), Stephanie Koller (University of Augsburg), Gerhard Schenkirsch (0000-0003-0510-6069, Comprehensive Cancer Center, Augsburg University Medical Center, 86156 Augsburg, Germany), Martin Trepel (University of Augsburg), Elke Hertig (0000-0002-6934-9468, University of Augsburg) |
| Year | 2021 |
| Volume | 18 |
| Issue | 22 |
| Pages | 11737-11737 |
| Publication date | 2021-11-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph182211737 |
| PMID | 34831496 |
| OpenAlex | W3212676885 |
| Language | EN |
| Citations received | 1 |
| References cited | 56 |
While many authors have described the adverse health effects of poor air quality and meteorological extremes, there remain inconsistencies on a regional scale as well as uncertainty about the single and joint effects of atmospheric predictors. In this context, we investigated the short-term impacts of weather and air quality on moderate extreme cancer-related mortality events for the urban area of Augsburg, Southern Germany, during the period 2000-2017. First, single effects were uncovered by applying a case-crossover routine. The overall impact was assessed by performing a Mann-Whitney U testing scheme. We then compared the results of this procedure to extreme noncancer-related mortality events. In a second step, we found periods with contemporaneous significant predictors and carried out an in-depth analysis of these joint-effect periods. We were interested in the atmospheric processes leading to the emergence of significant conditions. Hence, we applied the Principal Component Analysis to large-scale synoptic conditions during these periods. The results demonstrate a strong linkage between high-mortality events in cancer patients and significantly above-average levels of nitrogen dioxide (NO 2 ) and particulate matter (PM 2.5 ) during the late winter through spring period. These were mainly linked to northerly to easterly weak airflow under stable, high-pressure conditions. Especially in winter and spring, this can result in low temperatures and a ground-level increase and the accumulation of air pollution from heating and traffic as well as eastern lateral advection of polluted air. Additionally, above-average temperatures were shown to occur on the days before mortality events from mid-summer through fall, which was also caused by high-pressure conditions with weak wind flow and intense solar radiation. Our approach can be used to analyse medical data with epidemiological as well as climatological methods while providing a more vivid representation of the underlying atmospheric processes
Air pollution · Air quality index · Atmospheric sciences · Biology · Climatology · Context (archaeology · Geography · Meteorology · Air Quality and Health Impacts · Climate Change and Health Impacts · Environmental Science · Global Health Care Issues · Geology
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |