Spatial Inequities in COVID-19 Testing, Positivity, Incidence and Mortality in 3 US Cities: a Longitudinal Ecological Study

Authors: Bilal, Barber, Tabb & Diez-Roux

Contact: [email protected]

Code files:

• Data_Management.R: contains all data management
• Exploratory_Analysis.R: contains all exploratory analysis
• Models.R: contains the modeling part of the paper using INLA
• Tables_Figures.R: contains the creation of final tables and visualizations
• Helper_Functions.R: contains package list, options, and a couple useful functions

Other files:

• Moran_Table_AllZCTAs.csv: contains local Moran's I results for all ZCTAs/outcomes in each city.
• Data/Clean_rdata.rdata: contains all clean and final data
• Data/SVI: contains the SVI for the three states
• Data/zcta_tract_rel_10.txt: relationship file (CT <-> ZCTA)
• Data/nb_inla_chi.adj and _nyc.adj and _phl.adj: adjacency files for each city.

We used data from three large US cities to characterize spatial and social inequities in testing, positivity, confirmed cases, and mortality.

Preprint here: https://www.medrxiv.org/content/10.1101/2020.05.01.20087833v4