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

<p>This dataset contains Input data and analysis codes used for the following article:</p> <p>Li, C., A. van Donkelaar, M. S. Hammer, E. E. McDuffie, R. T. Burnett, J. V. Spadaro, D. Chatterjee, A. J.&nbsp;Cohen, J. S. Apte,&nbsp;V. A. Southerland, S. C. Anenberg, M. Brauer, &amp; R. V. Martin,&nbsp;Reversal of trends in global fine particulate matter air pollution, submitted, 2023.</p> <p>&nbsp;</p> <p><strong>Input Data</strong></p> <p>Baseline mortality data (204 countries and territories, 17 age groups, 6 diseases, 22 years)</p> <p>Concentration-response functions (GEMM and MRBRT)</p> <p>PM_2.5&nbsp;exposure for 204 territories and 22 years</p> <p>Age-specific population for 204 territories and 22 years</p> <p>&nbsp;</p> <p><strong>Derived Data</strong></p> <p>Age- and disease-specific&nbsp;PM_2.5-attributable Mortality estimates for 204 territories and 22 years.</p> <p>Sensitivity of&nbsp;PM_2.5-attributable Mortality to marginal&nbsp;PM_2.5 reduction&nbsp;for 204 territories and 22 years.</p> <p>Attributable of changes in&nbsp;PM_2.5-attributable Mortality (and its sensitivity to marginal&nbsp;PM_2.5 reduction) to four driving factors.</p> <p>&nbsp;</p> <p><strong>Code</strong></p> <p>Necessary python scripts to verify and replicate analysis results in the manuscript.</p>