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A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load
Ambulance response times in Santa Barbara County for 2006 are analyzed using point process techniques, including kernel intensity estimates and K-functions. Clusters of calls result in significantly higher response times, and this effect is quantified. In particular, calls preceded by other calls wi...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672299/ https://www.ncbi.nlm.nih.gov/pubmed/19561768 |
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author | Chang, Joshua C. Schoenberg, Frederic P. |
author_facet | Chang, Joshua C. Schoenberg, Frederic P. |
author_sort | Chang, Joshua C. |
collection | PubMed |
description | Ambulance response times in Santa Barbara County for 2006 are analyzed using point process techniques, including kernel intensity estimates and K-functions. Clusters of calls result in significantly higher response times, and this effect is quantified. In particular, calls preceded by other calls within 20 km and within the previous hour are significantly more likely to result in violations. This effect appears to be especially pronounced within semi-rural neighborhoods. |
format | Text |
id | pubmed-2672299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-26722992009-06-24 A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load Chang, Joshua C. Schoenberg, Frederic P. West J Emerg Med Clinical Practice Ambulance response times in Santa Barbara County for 2006 are analyzed using point process techniques, including kernel intensity estimates and K-functions. Clusters of calls result in significantly higher response times, and this effect is quantified. In particular, calls preceded by other calls within 20 km and within the previous hour are significantly more likely to result in violations. This effect appears to be especially pronounced within semi-rural neighborhoods. Department of Emergency Medicine, University of California, Irvine School of Medicine 2009-02 /pmc/articles/PMC2672299/ /pubmed/19561768 Text en Copyright © 2009 the authors. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Clinical Practice Chang, Joshua C. Schoenberg, Frederic P. A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load |
title | A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load |
title_full | A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load |
title_fullStr | A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load |
title_full_unstemmed | A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load |
title_short | A Statistical Analysis of Santa Barbara Ambulance Response in 2006: Performance Under Load |
title_sort | statistical analysis of santa barbara ambulance response in 2006: performance under load |
topic | Clinical Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672299/ https://www.ncbi.nlm.nih.gov/pubmed/19561768 |
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