Madaniyazi, L, 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. [Online]. Github. Available from: https://github.com/LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial
Madaniyazi, L, Tobias, A, Kim, Y, Chung, Y, Armstrong, B and Hashizume, M. LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial [Internet]. Github; 2022. Available from: https://github.com/LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial
Madaniyazi, L, 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. [Data Collection]. Github. https://github.com/LinaMadaniyazi/Assessing-seasonality-and-the-role-of-its-potential-drivers-in-environmental-epidemiology-a-tutorial
Alternative Title
Assessing seasonality and the role of its potential drivers in environmental epidemiology - a tutorial
Description
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.
| Data capture method | Other |
|---|---|
| Date (Date published in a 3rd party system) | 13 June 2022 |
| Language(s) of written materials | English |
| Data Creators | 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 |
