R code and data for: "Temporal Variation in Heat–Mortality Associations: A Multicountry Study"

Gasparrini, A

; Guo, Y; Hashizume, M; Kinney, PL; Petkova, EP; Lavigne, E; Zanobetti, A; Schwartz, JD; Tobias, A; Leone, M; Tong, S; Honda, Y; Kim, H and Armstrong, BG

(2017). R code and data for: "Temporal Variation in Heat–Mortality Associations: A Multicountry Study". [Dataset]. Github. https://github.com/gasparrini/2015_gasparrini_EHP_Rcodedata

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An applications of time-varying DLNMs, specified through an interaction between cross-basis variables and the time variable, to model temporal variations in exposure-lag-response associations between heat and mortality in a multi-country multi-city (MCC) data set. Specifically, this application illustrates how to model long term variations, partly reproducing the analysis described in the associated article. Files include: [1] regEngWales.csv stores the daily time series data from 10 locations corresponding to regions of England and Wales in the period 1993--2006; and [2] the numbered files from 00.prepdata.R to 05.plots.R reproduce the results of an example with the subset of data

Keywords

Distributed lag nonlinear model

Item Type	Dataset
Resource Type	Resource Type Resource Description Software R script
Capture method	Other
Date	5 December 2017
Language(s) of written materials	English
Creator(s)	Gasparrini, A ; Guo, Y; Hashizume, M; Kinney, PL; Petkova, EP; Lavigne, E; Zanobetti, A; Schwartz, JD; Tobias, A; Leone, M; Tong, S; Honda, Y; Kim, H and Armstrong, BG
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	13 Dec 2018 14:30
Last Modified	28 Apr 2026 10:05
Publisher	Github