Winter circulation weather types and hospital admissions for respiratory diseases in Galicia, Spain

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• 作者：D. Royé ; J. J. Taboada ; A. Martí ; M. N. Lorenzo
• 关键词：Weather type ; Respiratory diseases ; Hospital admissions ; Human health ; Spain
• 刊名：International Journal of Biometeorology
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：60
• 期：4
• 页码：507-520
• 全文大小：2,909 KB
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• 作者单位：D. Royé (1)
  J. J. Taboada (2)
  A. Martí (1)
  M. N. Lorenzo (3)
  
  1. Facultad de Geografía e Historia, Departamento de Geografía, Universidad de Santiago de Compostela, Praza da Universidade 1, 15782, Santiago de Compostela, Spain
  2. Consellera de Medio Ambiente, Territorio e Infraestruturas, Meteogalicia, Rúa Roma 6, 15707, Santiago de Compostela, Spain
  3. Facultad de Ciencias, Departamento de Física Aplicada, Universidad de Vigo, Campus As Lagoas, 32004, Ourense, Spain
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Life Sciences
  Animal Physiology
  Plant Physiology
  Environmental Medicine/Environmental Psychology
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1254

文摘

The link between various pathologies and atmospheric conditions has been a constant topic of study over recent decades in many places across the world; knowing more about it enables us to pre-empt the worsening of certain diseases, thereby optimizing medical resources. This study looked specifically at the connections in winter between respiratory diseases and types of atmospheric weather conditions (Circulation Weather Types, CWT) in Galicia, a region in the north-western corner of the Iberian Peninsula. To do this, the study used hospital admission data associated with these pathologies as well as an automatic classification of weather types. The main result obtained was that weather types giving rise to an increase in admissions due to these diseases are those associated with cold, dry weather, such as those in the east and south-east, or anticyclonic types. A second peak was associated with humid, hotter weather, generally linked to south-west weather types. In the future, this result may help to forecast the increase in respiratory pathologies in the region some days in advance.