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

Gasparrini, AORCID logo, 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, BGORCID logo (2017). R code and data for: "Temporal Variation in Heat–Mortality Associations: A Multicountry Study". [Data Collection]. 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

No files available. Please consult associated links.


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