LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial
, Tobias, A, Kim, Y, Chung, Y, Armstrong, B 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
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| Item Type | Dataset |
|---|---|
| Capture method | Other |
| Date | 13 June 2022 |
| Language(s) of written materials | English |
| Creator(s) |
Madaniyazi, L, Tobias, A, Kim, Y, Chung, Y, Armstrong, B and Hashizume, M
|
| 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 | 28 Jun 2022 15:50 |
| Last Modified | 28 Jun 2022 15:51 |
| Publisher | Github |
No files available. Please consult associated links.
