Literature DB >> 26901744

The association of weather on pediatric emergency department visits in Changwon, Korea (2005-2014).

Hae Jeong Lee1, Mi Hyeon Jin2, Jun Hwa Lee3.   

Abstract

BACKGROUND: It is widely believed that patients are less likely to visit hospitals during bad weather. We hypothesized that weather and emergency department (ED) visits are associated. Thus, we investigated the association between pediatric ED visits and weather, and sought to determine whether admissions to the ED are affected by meteorological factors.
METHODS: We retrospectively analyzed all 87,242 emergency visits to Samsung Changwon Hospital by pediatric patients under 19years of age from January 2005 to December 2014. ED visits were categorized by disease. We used Poisson regression and generalized linear model to examine the relationships between current weather and ED visits. Additionally a distributed lag non-linear model was used to investigate the effect of weather on ED visits.
RESULTS: During this 10-year study period, the average temperature and diurnal temperature range (DTR) were 14.7°C and 8.2°C, respectively. There were 1,145days of rain or snow (31.4%) during the 3,652-day study period. The volume of ED visits decreased on days of rain or snow. Additionally ED visits increased 2days after rainy or snowy days. The volume of ED visits increased 1.013 times with every 1°C increase in DTR. The volume of ED visits by patients with trauma, digestive diseases, and respiratory diseases increased when DTR was over 10°C. As rainfall increased to over 25mm, the ward admission rate (23.8%, p=0.018) of ED patients increased significantly.
CONCLUSION: The volume of ED visits decreased on days of rain or snow and the ED visits were increased 2days after rainy or snowy days. The volume of ED visits increased for every 1°C increase in DTR.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Diurnal temperature range; Emergency department visits; Korea; Pediatric; Rainfall; Weather

Mesh:

Year:  2016        PMID: 26901744     DOI: 10.1016/j.scitotenv.2016.02.015

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Artificial neural networks can predict trauma volume and acuity regardless of center size and geography: A multicenter study.

Authors:  Bradley M Dennis; David P Stonko; Rachael A Callcut; Richard A Sidwell; Nicole A Stassen; Mitchell J Cohen; Bryan A Cotton; Oscar D Guillamondegui
Journal:  J Trauma Acute Care Surg       Date:  2019-07       Impact factor: 3.313

2.  Supracondylar humerus fractures in children: the effect of weather conditions on their risk.

Authors:  Juha-Jaakko Sinikumpu; Tytti Pokka; Hanna Hyvönen; Reija Ruuhela; Willy Serlo
Journal:  Eur J Orthop Surg Traumatol       Date:  2016-12-05

3.  Identifying temporal patterns in trauma admissions: Informing resource allocation.

Authors:  David P Stonko; Bradley M Dennis; Rachael A Callcut; Richard D Betzold; Michael C Smith; Andrew J Medvecz; Oscar D Guillamondegui
Journal:  PLoS One       Date:  2018-12-03       Impact factor: 3.240

Review 4.  Research Trends in Agenda-setting for Climate Change Adaptation Policy in the Public Health Sector in Korea.

Authors:  Su-Mi Chae; Daeeun Kim
Journal:  J Prev Med Public Health       Date:  2020-01-31
  4 in total

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