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The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England

Extreme weather events present significant global threats to health. The National Ambulance Syndromic Surveillance System collects data on 18 syndromes through chief presenting complaint (CPC) codes. We aimed to determine the utility of ambulance data to monitor extreme temperature events for action...

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Autores principales: Packer, Simon, Loveridge, Paul, Soriano, Ana, Morbey, Roger, Todkill, Dan, Thompson, Ross, Rayment-Bishop, Tracy, James, Cathryn, Pillin, Hilary, Smith, Gillian, Elliot, Alex J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997786/
https://www.ncbi.nlm.nih.gov/pubmed/35409559
http://dx.doi.org/10.3390/ijerph19073876
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author Packer, Simon
Loveridge, Paul
Soriano, Ana
Morbey, Roger
Todkill, Dan
Thompson, Ross
Rayment-Bishop, Tracy
James, Cathryn
Pillin, Hilary
Smith, Gillian
Elliot, Alex J.
author_facet Packer, Simon
Loveridge, Paul
Soriano, Ana
Morbey, Roger
Todkill, Dan
Thompson, Ross
Rayment-Bishop, Tracy
James, Cathryn
Pillin, Hilary
Smith, Gillian
Elliot, Alex J.
author_sort Packer, Simon
collection PubMed
description Extreme weather events present significant global threats to health. The National Ambulance Syndromic Surveillance System collects data on 18 syndromes through chief presenting complaint (CPC) codes. We aimed to determine the utility of ambulance data to monitor extreme temperature events for action. Daily total calls were observed between 01/01/2018–30/04/2019. Median daily ’Heat/Cold’ CPC calls during “known extreme temperature” (identified a priori), “extreme temperature”; (within 5th or 95th temperature percentiles for central England) and meteorological alert periods were compared to all other days using Wilcoxon signed-rank test. During the study period, 12,585,084 calls were recorded. In 2018, median daily “Heat/Cold” calls were higher during periods of known extreme temperature: heatwave (16/day, 736 total) and extreme cold weather events (28/day, 339 total) compared to all other days in 2018 (6/day, 1672 total). Median daily “Heat/Cold” calls during extreme temperature periods (16/day) were significantly higher than non-extreme temperature periods (5/day, p < 0.001). Ambulance data can be used to identify adverse impacts during periods of extreme temperature. Ambulance data are a low resource, rapid and flexible option providing real-time data on a range of indicators. We recommend ambulance data are used for the surveillance of presentations to healthcare related to extreme temperature events.
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spelling pubmed-89977862022-04-12 The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England Packer, Simon Loveridge, Paul Soriano, Ana Morbey, Roger Todkill, Dan Thompson, Ross Rayment-Bishop, Tracy James, Cathryn Pillin, Hilary Smith, Gillian Elliot, Alex J. Int J Environ Res Public Health Article Extreme weather events present significant global threats to health. The National Ambulance Syndromic Surveillance System collects data on 18 syndromes through chief presenting complaint (CPC) codes. We aimed to determine the utility of ambulance data to monitor extreme temperature events for action. Daily total calls were observed between 01/01/2018–30/04/2019. Median daily ’Heat/Cold’ CPC calls during “known extreme temperature” (identified a priori), “extreme temperature”; (within 5th or 95th temperature percentiles for central England) and meteorological alert periods were compared to all other days using Wilcoxon signed-rank test. During the study period, 12,585,084 calls were recorded. In 2018, median daily “Heat/Cold” calls were higher during periods of known extreme temperature: heatwave (16/day, 736 total) and extreme cold weather events (28/day, 339 total) compared to all other days in 2018 (6/day, 1672 total). Median daily “Heat/Cold” calls during extreme temperature periods (16/day) were significantly higher than non-extreme temperature periods (5/day, p < 0.001). Ambulance data can be used to identify adverse impacts during periods of extreme temperature. Ambulance data are a low resource, rapid and flexible option providing real-time data on a range of indicators. We recommend ambulance data are used for the surveillance of presentations to healthcare related to extreme temperature events. MDPI 2022-03-24 /pmc/articles/PMC8997786/ /pubmed/35409559 http://dx.doi.org/10.3390/ijerph19073876 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Packer, Simon
Loveridge, Paul
Soriano, Ana
Morbey, Roger
Todkill, Dan
Thompson, Ross
Rayment-Bishop, Tracy
James, Cathryn
Pillin, Hilary
Smith, Gillian
Elliot, Alex J.
The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
title The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
title_full The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
title_fullStr The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
title_full_unstemmed The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
title_short The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England
title_sort utility of ambulance dispatch call syndromic surveillance for detecting and assessing the health impact of extreme weather events in england
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997786/
https://www.ncbi.nlm.nih.gov/pubmed/35409559
http://dx.doi.org/10.3390/ijerph19073876
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