| Modelling seasonal and weather dependency of cardiac arrests using the covariate order method. | |
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MedLine Citation:
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PMID: 17195279 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A data set concerning cardiac arrests treated by the Emergency Medical Service in Trondheim during a nine year period is analysed. The relationship between the occurrence of cardiac arrest and covariates related to weather and season is examined. The covariate order method is used in the analysis of the data. It is explained how this method can be extended to recurrent event data, and the practical usefulness and flexibility of the method is demonstrated in these analyses. In the analyses a significant relationship between outdoor air temperature, or factors closely related to outdoor air temperature, and the occurrence of cardiac arrest is found. The incidence of cardiac arrest decreases with increasing temperature. Further a significant effect of snowfall is also found, with increased intensity of cardiac arrest on days with snowfall. A more borderline significant effect of precipitation is also identified. |
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Authors:
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Jan Terje Kvaløy; Eirik Skogvoll |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Statistics in medicine Volume: 26 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 2007 Jul |
Date Detail:
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Created Date: 2007-06-18 Completed Date: 2007-08-27 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: England |
Other Details:
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Languages: eng Pagination: 3315-29 Citation Subset: IM |
Affiliation:
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Department of Mathematics and Natural Sciences, University of Stavanger, Stavanger, Norway. jan.t.kvaloy@uis.no |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Emergency Service, Hospital Heart Arrest / epidemiology* Humans Norway / epidemiology Proportional Hazards Models Seasons* Weather* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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