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

## TL;DR

This paper provides open-access datasets to study how short-term high temperatures relate to heatstroke ambulance calls in Japan.

## Contribution

The paper introduces a comprehensive dataset using a case-crossover design to analyze temperature and heatstroke ambulance dispatches across Japan.

## Key findings

- Daily records of heatstroke ambulance dispatches and temperature data are provided for 47 Japanese prefectures from 2015 to 2019.
- The dataset supports location-specific and regional analyses of temperature-heatstroke associations.
- The resource is intended for research and educational use in time-series analysis.

## 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.