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用于研究温度与死亡率关联的开放获取时间序列数据集汇编。

Compilation of open access time-series datasets for studying temperature-mortality association.

作者信息

Tobias Aurelio, Ng Chris Fook Sheng, Kim Yoonhee, Hashizume Masahiro, Madaniyazi Lina

机构信息

Institute of Environmental Assessment and Water Research (IDAEA), Spanish Research Council (CSIC), Barcelona, Spain.

School of Tropical Medicine and Global Health (TMGH), Nagasaki University, Nagasaki, Japan.

出版信息

Data Brief. 2024 Jun 28;55:110694. doi: 10.1016/j.dib.2024.110694. eCollection 2024 Aug.

Abstract

In this article, we present a comprehensive compilation of open access daily time-series datasets tailored to assess the temperature-mortality association. The data consists of daily mortality counts and average ambient temperature at various levels of geographic aggregation, including data from four cities, ten regions, and two counties, which have been utilised in previously published studies. These datasets are applicable for time-series regression analysis to estimate location-specific temperature-mortality associations. Additionally, the availability of data from multiple geographical locations enabled the exploration of geographical differences by pooling associations using meta-analysis. This compilation aims to serve as a valuable resource for researchers, educators, and students, facilitating their application of time-series regression modelling for research endeavours and training activities.

摘要

在本文中,我们全面汇编了用于评估温度与死亡率关联的开放获取每日时间序列数据集。数据包括不同地理汇总层面的每日死亡人数和平均环境温度,其中涵盖了四个城市、十个地区和两个县的数据,这些数据已在先前发表的研究中使用。这些数据集适用于时间序列回归分析,以估计特定地点的温度与死亡率关联。此外,多个地理位置的数据可用性使得能够通过荟萃分析汇总关联来探索地理差异。本汇编旨在为研究人员、教育工作者和学生提供宝贵资源,便于他们将时间序列回归模型应用于研究工作和培训活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2155/11282929/3e2b0adb50e6/gr1.jpg

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