Datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan: A time-stratified case-crossover design.

Wagatsuma, Keita

doi:10.1016/j.dib.2025.111307

Environmental & drowning

Datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan: A time-stratified case-crossover design.

Keita Wagatsuma

Data in Brief · 2025-01-14 · Other / unclear

Read at publisher · PubMed

Abstract

This study provides a comprehensive collection of open-access daily time-series datasets designed to quantify the association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches (HSAD) utilizing a two-stage time-stratified case-crossover design. The datasets include daily records of HSAD, maximum temperature (°C), and relative humidity (%) for the summer months (i.e., June to September) from 2015 to 2019, spanning all 47 Japanese prefectures and covering the entire country. These datasets are well-suited for time-series regression analyses to estimate location-specific maximum temperature-HSAD associations in Japan. The availability of data from multiple locations also facilitates the of regional differences by aggregating location-specific associations within broader geographical areas. This resource is intended to support researchers, educators, and students in leveraging time-series analysis for research and educational purposes.

Datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan: A time-stratified case-crossover design.

Abstract

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