Code for health impact assessments from air pollution exposure

Functions

• Import numpy arrays (import_npz.py).
• Find index within array nearest to a given value (find_nearest.py).
• Create the ozone metric used for health impact assessments (create_o3_metric.py).
• GEMM NCD+LRI for long-term PM2.5 exposure (calc_hia_gemm_ncdlri.py).
  • Variant using Numba (calc_hia_gemm_ncdlri_numba.py).
• GEMM 5COD for long-term PM2.5 exposure (calc_hia_gemm_5cod.py).
• GBD2017/2019 for long-term PM2.5 exposure (calc_hia_gbd2017_pm25.py, calc_hia_gbd2019_pm25.py).
• GBD2017/2019 for long-term O3 exposure (calc_hia_gbd2017_o3.py, calc_hia_gbd2019_o3.py).
• Create global arrays of GBD2019 baseline mortality and population age (create_arrays_gbd2019_baseline_mortality_population.py/bash).
• Test calculation for GBD2019 (hia_gbd2019.py/bash).
• Cut an array by a shapefile (cutshapefile.py).
• Cut the health impact assessment arrays by shapefiles (shapefile_hia.py).

Examples

• Regridding to a global grid (example_regridding.py).
• Application of cutting an array by a shapefile (example_crop_array_to_shapefile.ipynb).
• Plotting concentrations and calculating exposure over an area (example_popweighted_exposure.ipynb).
• Health impact assessment for long-term PM2.5 and O3 exposures using GBD2017 exposure-outcome associations (example_hia_gbd2017.py).
• Health impact assessment for long-term PM2.5 exposure using the GEMM NCD+LRI exposure-outcome associations (example_hia_gbd2017.py, health_impact_assessment_china.py, health_impact_assessment_global.py).
• Cropping health impact assessments by shapefile (example_hia_split_shapefile.py).
• Health impact assessment for short-term PM2.5 exposure (example_hia_shortterm.py).