This study is a direct replication of:
DiMaggio, C., Klein, M., Berry, C., & Frangos, S. (2020). Black/African American Communities are at highest risk of COVID-19: spatial modeling of New York City ZIP Code–level testing results. Annals of epidemiology, 51, 7-13. DOI:10.1016/j.annepidem.2020.08.012
The original study analyzed the association between positive COVID-19 testing result counts and demographic, socio-economic, and racial characteristics in New York City during the first wave of COVID-19 at the ZIP Code Tabulation Area level with a Bayesian hierarchical Poisson spatial model using integrated nested Laplace approximations. We directly replicate this original analysis in Phoenix, AZ during the first wave of COVID-19 in that city. We also extend that replication by introducing covariates and spatial structure appropriate to the context of Phoenix, AZ. Our work therefore examines the generalizability of the original model to a new urban context, and the consistency of key effect estimates.
The replication authors are:
Link your reports, manuscripts, presentations, publication DOIs, preregistrations, etc. here. Delete this instruction and unused list items from your final repository. Adjust the file names and paths and add additional items as necessary.
- OSF Project: https://doi.org/10.17605/OSF.IO/N32GE
- Preprint Publication: http://dx.doi.org/10.2139/ssrn.3995296
- Publication: https://doi.org/10.1016/j.annepidem.2022.05.005
- Study report: docs/report/
- Manuscript: docs/manuscript/manuscript.pdf
The contents of this repository are outlined in three tables:
- Data: data/data_metadata.csv
- Procedures: procedure/procedure_metadata.csv
- Results: results/results_metadata.csv
The template_readme.md file contains more information on structure and rationale of this research template repository, as well as important references and licenses.