PierreMasselot/Paper--2022--EE--Heat_climate

Masselot, PORCID logo (2022). PierreMasselot/Paper--2022--EE--Heat_climate. [Dataset]. Github. https://github.com/PierreMasselot/Paper--2022--EE--Heat_climate
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Data and R code to implement the two-stage methodology used to predict annual heat-related mortality using low-frequency climate indices. Specifically, it runs the time-varying DLNM and extracts annual attributable fractions (AF) in the first stage, and the functional model regressing these AFs on monthly climate index values in the second stage. The code then produces output Tables and Figures. At each stage, it loops through the two cities analysed in the paper: Montréal and Québec.

Keywords

Heat-related mortality

Item Type Dataset
Capture method Other
Date 28 April 2022
Language(s) of written materials English
Creator(s) Masselot, PORCID logo
LSHTM Faculty/Department Faculty of Public Health and Policy > Dept of Public Health, Environments and Society
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited 19 Jul 2023 15:31
Last Modified 19 Jul 2023 15:31
Publisher Github

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