表1_每日昼夜温差与急诊救护车呼叫相关:一项九年时间序列研究.DOCX

2009—2017年广州每日昼夜温差与急诊救护车呼叫的时间序列数据,分析全因、心血管和呼吸系统疾病相关风险。

NIAID Data Ecosystem
浏览 19
时间序列emergency ambulance callsChinadiurnal temperature rangetime-series analysisgeneralized additive models (GAMs)
Table_1_Daily diurnal temperature range associated with emergency ambulance calls: a nine-year time-series study.DOCX

基本信息

模态
时间序列
大小
0.000021446 GB
许可
CC BY 4.0
创建/更新时间
2026-10-17
版本
v1

资源简介

表1_每日昼夜温差与急诊救护车呼叫相关:一项九年时间序列研究.DOCX

【一句话概览】

本数据集是 figshare 公开的时序数据集,收录 1 个文件、合计 21.45 KB,主题涵盖 emergency ambulance calls、China、diurnal temperature range、time-series analysis、generalized additive models (GAMs),可用于疾病进展预测与生理信号时序建模,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table_1_Daily diurnal temperature range associated with emergency ambulance calls: a nine-year time-series study.DOCX》。配套论文《Daily diurnal temperature range associated with outpatient visits of acute lower respiratory infection in children: A time-series study in Guangzhou, China》发表于 Frontiers in Public Health(2022),DOI:10.3389/fpubh.2022.951590。源站首次发布:2024-10-03。

【数据内容】

源站原始描述:BackgroundDiurnal temperature range (DTR) is associated with the increased risk of morbidity and mortality. However, the relationship between DTR and emergency ambulance calls (EACs), which more accurately and immediately reflect the health impacts of temperature changes, remains underexplored in China. MethodsWe collected daily data on EACs and meteorological factors from 2009 to 2017 in Guangzhou, China. DTR, representing the temperature range within a day, was calculated by subtracting the mi…

中文译文(机器翻译,仅供快速理解,请以原文为准):背景 昼夜温差(DTR)与发病率和死亡率风险增加相关。然而,DTR与紧急救护车呼叫(EACs)之间的关系,能更准确、更即时地反映温度变化对健康的影响,在中国仍研究不足。 方法 我们收集了中国广州2009年至2017年EACs和气象因素的每日数据。DTR表示一天内的温度范围,通过每日最高气温减去最低气温计算得出。采用广义相加模型估计DTR与全因、心血管疾病和呼吸

【数据结构与技术规格】

文件数 1 个,合计 21.45 KB。Table_1_Daily diurnal temperature range associated with emergency ambulance calls: a nine-year time-series study.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,21.45 KB。数据集 DOI:10.3389/fpubh.2024.1454097.s001。

【主题与分类】

源站学科分类:Aboriginal and Torres Strait Islander Health、Aged Health Care、Care for Disabled、Community Child Health、Environmental and Occupational Health and Safety、Epidemiology。主题标签:emergency ambulance calls、China、diurnal temperature range、time-series analysis、generalized additive models (GAMs)。

【适用方向】

时序数据适用于疾病进展预测、生理信号监测与事件发生的时序建模。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table_1_Daily_diurnal_temperature_range_associated_with_emergency_ambulance_calls_a_nine-year_time-series_study_DOCX/27158262

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Guo, Chaohui; Cai, Keke; Chen, Gao; Wang, Jin; Zeng, Jie; Huang, Xiaoqing; et al. (2024). Table_1_Daily diurnal temperature range associated with emergency ambulance calls: a nine-year time-series study.DOCX. Frontiers. Dataset

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table_1_Daily diurnal temperature range associated with emergency ambulance calls: a nine-year time-series study.DOCX" "https://ndownloader.figshare.com/files/49576863"

文件清单

  • Table_1_Daily diurnal temperature range associated with emergency ambulance calls: a nine-year time-series study.DOCX(21.45 KB)

文件总体积 21.45 KB(源站 API 实测)。

数据说明

BackgroundDiurnal temperature range (DTR) is associated with the increased risk of morbidity and mortality. However, the relationship between DTR and emergency ambulance calls (EACs), which more accurately and immediately reflect the health impacts of temperature changes, remains underexplored in China.
MethodsWe collected daily data on EACs and meteorological factors from 2009 to 2017 in Guangzhou, China. DTR, representing the temperature range within a day, was calculated by subtracting the minimum temperature from the maximum temperature for each day. Generalized additive models were used to estimate the association between DTR and EACs for all-cause, cardiovascular diseases, and respiratory diseases. Additionally, subgroup and sensitivity analyses were conducted in our study.
ResultsWe found significant associations between daily DTR and EACs. The excess risks (ERs) were 0.47% (95% CI: 0.14, 0.81%) for all-cause EACs, 0.94% (95% CI: 0.46, 1.43%) for cardiovascular-related EACs, and 1.31% (95% CI: 0.76, 1.86%) for respiratory -related EACs at lag01, respectively. Subgroup analyses indicated that these associations were notably stronger among the older, males, and during the warm season. Specifically, there was an increase of 1.16% (95% CI: 0.59, 1.74%) in cardiovascular-related EACs among the older adult, compared to 0.45% (95% CI: −0.21, 1.12%) among those younger than 65 years. Among males, the increase was 1.39% (95% CI: 0.79, 1.99%), compared to 0.13% (95% CI: −0.53, 0.79%) among females. During the warm season, the increase was 1.53% (95% CI: 0.74, 2.34%), compared to 0.75% (95% CI: 0.14, 1.37%) during the cold season.
ConclusionDTR might increase the risk of daily all-cause, cardiovascular-related, and respiratory-related EACs in Guangzhou, China. The associations were particularly strong among older adults, males, and during the warm season. Implementing public health policies is essential to mitigate the adverse health effects of DTR.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2024.1454097.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Daily_diurnal_temperature_range_associated_with_emergency_ambulance_calls_a_nine-year_time-series_study_DOCX/27158262)。

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