LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial

Madaniyazi, LORCID logo, Tobias, A, Kim, Y, Chung, YORCID logo, Armstrong, BORCID logo and Hashizume, M (2022). LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial. [Dataset]. Github. https://github.com/LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial
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R code to reproduce the analysis presented in the article: "Assessing seasonality and the role of its potential drivers in environmental epidemiology: a tutorial." The five R scripts reproduces all the steps of the analysis and the full results. Specifically: cyclic.R is the R function for the cyclic spline function to assess seasonality; findmin.R is the R function to estimate the trough of seasonality; findmax.R is the R function to estimate the peak of seasonality; attrs.R is the R function to estimate attributable fraction of seasonality; main_analysis.R is the codes to reproduce the examples. The R script main_analysis.R in the folder includes the code for loading the dataset from the original sources.

Keywords

Seasonality, Temperature, Mortality, Attributable fraction, Trough concentration

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