Input data and analysis codes for "Reversal of trends in global fine particulate matter air pollution"

This dataset contains Input data and analysis codes used for the following article:

Li, C., A. van Donkelaar, M. S. Hammer, E. E. McDuffie, R. T. Burnett, J. V. Spadaro, D. Chatterjee, A. J. Cohen, J. S. Apte, V. A. Southerland, S. C. Anenberg, M. Brauer, & R. V. Martin, Reversal of trends in global fine particulate matter air pollution, submitted, 2023.

Input Data

Baseline mortality data (204 countries and territories, 17 age groups, 6 diseases, 22 years)

Concentration-response functions (GEMM and MRBRT)

PM2.5 exposure for 204 territories and 22 years

Age-specific population for 204 territories and 22 years

Derived Data

Age- and disease-specific PM2.5-attributable Mortality estimates for 204 territories and 22 years.

Sensitivity of PM2.5-attributable Mortality to marginal PM2.5 reduction for 204 territories and 22 years.

Attributable of changes in PM2.5-attributable Mortality (and its sensitivity to marginal PM2.5 reduction) to four driving factors.

Code

Necessary python scripts to verify and replicate analysis results in the manuscript.