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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.
satellite remote sensing, Air quality, environmental health
satellite remote sensing, Air quality, environmental health
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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