The phenomenon of thunderstorm asthma in Bavaria, Southern Germany: a statistical approach.
Higher incidences of asthma during thunderstorms can pose a serious health risk. In this study, we estimate the thunderstorm asthma risk using statistical methods, with special focus on Bavaria, Southern Germany. In this approach, a dataset of asthma-related emergency cases for the study region is c...
| Published in: | International Journal of Environmental Health Research Vol. 32; no. 12; pp. 2678 - 2695 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Dec2022
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=160064584&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160064584 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Dec2022 vid: 32 iid: 12 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 160064584 152796311 160064584 160064584 10.1080/09603123.2021.1985971 160064584 ppf: 2678 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The phenomenon of thunderstorm asthma in Bavaria, Southern Germany: a statistical approach. aug: au: Straub, Annette Fricke, Verena Olschewski, Patrick Seubert, Stefanie Beck, Christoph Bayr, Daniela Kolek, Franziska Plaza, Maria P. Leier-Wirtz, Vivien Kaschuba, Sigrid Traidl-Hoffmann, Claudia Buermann, Wolfgang Gerstlauer, Michael Damialis, Athanasios Philipp, Andreas affil: Institute for Geography, University of Augsburg, Augsburg, Germany sug: subj: Asthma Epidemiology Weather Adverse Effects Seasons Adverse Effects Human Germany Descriptive Statistics Data Analysis Software Meteorological Factors International Classification of Diseases ab: Higher incidences of asthma during thunderstorms can pose a serious health risk. In this study, we estimate the thunderstorm asthma risk using statistical methods, with special focus on Bavaria, Southern Germany. In this approach, a dataset of asthma-related emergency cases for the study region is combined with meteorological variables and aeroallergen data to identify statistical relationships between the occurrence of asthma (predictand) and different environmental parameters (set of predictors). On the one hand, the results provide evidence for a weak but significant relationship between atmospheric stability indices and asthma emergencies in the region, but also show that currently thunderstorm asthma is not a major concern in Bavaria due to overall low incidences. As thunderstorm asthma can have severe consequences for allergic patients, the presented approach can be important for the development of emergency strategies in regions affected by thunderstorm asthma and under present and future climate change conditions. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|