Heat vulnerability in the Milan province: assessment of indoor overheating vulnerability in homes using emergency call data

This record contains the data processing scripts and datasets used to analyse heatwaves and their relationship with emergency call volumes at home in the Milan province during summer. Onyl emergency calls attributed to diseases associated with heat were included. The record is intended to supplement the related publication(s) and is not comprehensive on its own. Contents: Four Jupyter notebooks: 5-day centred temperature data and daily thresholds; heatwave windows; EMS data processing with traffic pattern, multi-year (confirm); odds ratios for the multi-year analysis. Input data derived from public sources: ISPRA daily maximum temperature 1991-2020 (Milano Linate), ARPA May to September sensor data, Milan traffic data (2016), and Milan population (January 2016), together with the author's restructured versions. Outputs: daily temperature thresholds, heatwave analysis results, and the multi-year analysis results for 2015 to 2024. Notes: Not included: the confidential event-level EMS dataset and the outputs derived from it. The last steps of the workflow therefore cannot be reproduced from this record alone. Software: Jupyter Notebook; Python packages are listed in each script. Each folder has a README file explainig its contents.