asthma_trap_init.py This is the standalone main file to reproduce the results. It depends on the following files:
prepare_data_for_modeling_child_or.py Reads the BRFSS and ACBS datasets to calculate PR and IR across the US.
incidence_rate_logic.py Describes the logic for imputing the missing values for nonparticipating states in BRFSS and ACBS.
AF_calculations/calculate_AF.py calculates the AF for each county and aggregates it to the state-level.The file uses the NO2 and population data for estimation.
merge_with_ev_sales.py Reads the light-duty vehicle data and merges with the original dataset.
call_lme4_in_R.py Describes the final model. This file calls for an R file, where the model is defined.
Figure 1: ev_sales_evadoption_evdaption_data_plot_2011_2022.ipynb Figure 2: Flowchart created through Microsoft Visio Figure 3: figure_3_v2_epa_ambient.ipynb Figure S3: plotBasemap_v3_pollution.ipynb
Supplementary Tables S1-S13