Masselot, P. 2022. PierreMasselot/Paper--2022--EE--Heat_climate. [Online]. Github. Available from: https://github.com/PierreMasselot/Paper--2022--EE--Heat_climate
Masselot, P. PierreMasselot/Paper--2022--EE--Heat_climate [Internet]. Github; 2022. Available from: https://github.com/PierreMasselot/Paper--2022--EE--Heat_climate
Masselot, P (2022). PierreMasselot/Paper--2022--EE--Heat_climate. [Data Collection]. Github. https://github.com/PierreMasselot/Paper--2022--EE--Heat_climate
Alternative Title
Fully reproducible R code and data from Masselot et al. (2022) Environmental Epidemiology
Description
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
| Data capture method | Other |
|---|---|
| Date (Date published in a 3rd party system) | 28 April 2022 |
| Language(s) of written materials | English |
| Data Creators | Masselot, P |
|---|---|
| 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 |
