Cargando…

The Impacts of Air Temperature on Accidental Casualties in Beijing, China

Emergency room (ER) visits for accidental casualties, according to the International Classification of Deceases 10th Revision Chapters 19 and 20, include injury, poisoning, and external causes (IPEC). Annual distribution of 187,008 ER visits that took place between 2009 and 2011 in Beijing, China di...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Pan, Wang, Shigong, Fan, Xingang, Li, Tanshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129283/
https://www.ncbi.nlm.nih.gov/pubmed/27827842
http://dx.doi.org/10.3390/ijerph13111073
_version_ 1782470563241918464
author Ma, Pan
Wang, Shigong
Fan, Xingang
Li, Tanshi
author_facet Ma, Pan
Wang, Shigong
Fan, Xingang
Li, Tanshi
author_sort Ma, Pan
collection PubMed
description Emergency room (ER) visits for accidental casualties, according to the International Classification of Deceases 10th Revision Chapters 19 and 20, include injury, poisoning, and external causes (IPEC). Annual distribution of 187,008 ER visits that took place between 2009 and 2011 in Beijing, China displayed regularity rather than random characteristics. The annual cycle from the Fourier series fitting of the number of ER visits was found to explain 63.2% of its total variance. In this study, the possible effect and regulation of meteorological conditions on these ER visits are investigated through the use of correlation analysis, as well as statistical modeling by using the Distributed Lag Non-linear Model and Generalized Additive Model. Correlation analysis indicated that meteorological variables that positively correlated with temperature have a positive relationship with the number of ER visits, and vice versa. The temperature metrics of maximum, minimum, and mean temperatures were found to have similar overall impacts, including both the direct impact on human mental/physical conditions and indirect impact on human behavior. The lag analysis indicated that the overall impacts of temperatures higher than the 50th percentile on ER visits occur immediately, whereas low temperatures show protective effects in the first few days. Accidental casualties happen more frequently on warm days when the mean temperature is higher than 14 °C than on cold days. Mean temperatures of around 26 °C result in the greatest possibility of ER visits for accidental casualties. In addition, males were found to face a higher risk of accidental casualties than females at high temperatures. Therefore, the IPEC-classified ER visits are not pure accidents; instead, they are associated closely with meteorological conditions, especially temperature.
format Online
Article
Text
id pubmed-5129283
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-51292832016-12-11 The Impacts of Air Temperature on Accidental Casualties in Beijing, China Ma, Pan Wang, Shigong Fan, Xingang Li, Tanshi Int J Environ Res Public Health Article Emergency room (ER) visits for accidental casualties, according to the International Classification of Deceases 10th Revision Chapters 19 and 20, include injury, poisoning, and external causes (IPEC). Annual distribution of 187,008 ER visits that took place between 2009 and 2011 in Beijing, China displayed regularity rather than random characteristics. The annual cycle from the Fourier series fitting of the number of ER visits was found to explain 63.2% of its total variance. In this study, the possible effect and regulation of meteorological conditions on these ER visits are investigated through the use of correlation analysis, as well as statistical modeling by using the Distributed Lag Non-linear Model and Generalized Additive Model. Correlation analysis indicated that meteorological variables that positively correlated with temperature have a positive relationship with the number of ER visits, and vice versa. The temperature metrics of maximum, minimum, and mean temperatures were found to have similar overall impacts, including both the direct impact on human mental/physical conditions and indirect impact on human behavior. The lag analysis indicated that the overall impacts of temperatures higher than the 50th percentile on ER visits occur immediately, whereas low temperatures show protective effects in the first few days. Accidental casualties happen more frequently on warm days when the mean temperature is higher than 14 °C than on cold days. Mean temperatures of around 26 °C result in the greatest possibility of ER visits for accidental casualties. In addition, males were found to face a higher risk of accidental casualties than females at high temperatures. Therefore, the IPEC-classified ER visits are not pure accidents; instead, they are associated closely with meteorological conditions, especially temperature. MDPI 2016-11-02 2016-11 /pmc/articles/PMC5129283/ /pubmed/27827842 http://dx.doi.org/10.3390/ijerph13111073 Text en © 2016 by the authors; 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Pan
Wang, Shigong
Fan, Xingang
Li, Tanshi
The Impacts of Air Temperature on Accidental Casualties in Beijing, China
title The Impacts of Air Temperature on Accidental Casualties in Beijing, China
title_full The Impacts of Air Temperature on Accidental Casualties in Beijing, China
title_fullStr The Impacts of Air Temperature on Accidental Casualties in Beijing, China
title_full_unstemmed The Impacts of Air Temperature on Accidental Casualties in Beijing, China
title_short The Impacts of Air Temperature on Accidental Casualties in Beijing, China
title_sort impacts of air temperature on accidental casualties in beijing, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5129283/
https://www.ncbi.nlm.nih.gov/pubmed/27827842
http://dx.doi.org/10.3390/ijerph13111073
work_keys_str_mv AT mapan theimpactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT wangshigong theimpactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT fanxingang theimpactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT litanshi theimpactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT mapan impactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT wangshigong impactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT fanxingang impactsofairtemperatureonaccidentalcasualtiesinbeijingchina
AT litanshi impactsofairtemperatureonaccidentalcasualtiesinbeijingchina