https://github.com/pierremasselot/mcc-pmtoxicity

A multi-country analysis of differential PM2.5-related mortality risks by pollutant mixture complexity
https://github.com/pierremasselot/mcc-pmtoxicity

air-pollution analysis dlm mcc meta-analysis mortality time-series

Last synced: 2 days ago
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A multi-country analysis of differential PM2.5-related mortality risks by pollutant mixture complexity

• Host: GitHub
• URL: https://github.com/pierremasselot/mcc-pmtoxicity
• Owner: PierreMasselot
• License: gpl-3.0
• Created: 2023-12-01T14:26:09.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-02-27T17:33:56.000Z (over 1 year ago)
• Last Synced: 2025-02-28T00:59:17.084Z (over 1 year ago)
• Topics: air-pollution, analysis, dlm, mcc, meta-analysis, mortality, time-series
• Language: R
• Homepage:
• Size: 151 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# A multi-country analysis of differential PM2.5-related mortality risks by pollutant mixture complexity

R code and intermediary data performing the analysis from the paper **Air pollution mixture complexity and its effect on PM2.5-related mortality: a multi-country time-series study in 264 cities** published in *Environmental Epidemiology* (https://doi.org/10.1097/EE9.0000000000000342). 

## Data

Due to a restrictive data sharing agreement between MCC members on daily mortality and air pollutants, the original data cannot be shared publicly. We instead share city-level aggregated data as well as the log relative risks of PM2.5-related mortality estimated in the first-stage of the analysis. The city-level data can be found in the `data` folder, along with a codebook describing all variables.

## Analysis

The file `analysis.R` is the master file running the full analysis. It calls functions from the R files in the `scripts` folder. 

Due to the restrictions mentioned above, the first-stage of the analysis is not reproducible. Instead, we saved the estimated city-specific log(RR) along with city-specific characteristic and any useful information in the `data` folder. The second-stage of the analysis is thus reproducible using the saved first-stage results. The script `analysis.R` automatically skips the first-stage of the analysis and load the saved results in `data`, unless the use has access to the original data, which would be stored in a `original` folder.

Note that the script used to perform the first stage is available and can therefore be checked and copied by any interested reader of the study.