Spatial modeling of sociodemographic risk for COVID-19 mortality

In early 2020, the Coronavirus Disease 19 (COVID-19) rapidly spread across the United States, exhibiting significant geographic variability. While several studies have examined the predictive relationships of differing factors on COVID-19 deaths, few have looked at spatiotemporal variation at refined geographic scales. The objective of this analysis is to examine county-level spatiotemporal variation of COVID-19 deaths in association with socioeconomic, health, demographic, and political factors, using regionalized multivariate regression as well as nationwide geographically weighted random forest (GWRF) models. Regionalized regression results across three time windows—pandemic onset until May 2021, May 2021 through November 2021, and December 2021 until April 2022—suggest that existing measures of social vulnerability for disaster preparedness (SVI) are associated with a higher degree of mortality from COVID-19. In comparison, GWRF models provide a more robust evaluation of feature imp..., The attached zip file contains the full GitHub repository, which includes data, the supplemental code, and an output HTML. The GitHub repository can be additionally viewed at: http://github.com/erichseamon/COVIDriskpaper. A README is provided as part of the repository, which describes each dataset, including all variable names and their unit of measure. All data used to generate the supplemental materials is located in the /data folder., All analyses for these supplemental materials were generated in R version 4.0.5.  In order to appropriately run the supplemental.Rmd, please use this version of R, with associated packages., ## Supplemental Materials: Spatial Modeling of Sociodemographic Risk for COVID-19 Mortality

Submitted to Microorganisms February 2024

Erich Seamon, Benjamin J. Ridenhour, Craig R. Miller, Jennifer Johnson-Leung
University of Idaho, February 2024

## Overview:

The following github repository provides all code and data for generating analyses and supplemental materials for the aforementioned manuscript, submitted to the journal, MicroOrganisms.

## How do I regenerate the Supplemental Appendix?

* a pdf is provided of the supplemental, at the root level. If you want to generate the pdf on your own, you may run the Supplemental.Rmd (also at the root level). All of the folders and datasets support running the Supplemnental .Rmd.

## Folder Descriptions

* /data - folder which contains all data accessed as part of Supplemental.Rmd. Descriptions of datasets are noted below under \"Data Descriptions\".
* /figures - contains .png image files that are used in the Supplemental.Rmd
* ...