COVID-19 Moran's I Residuals

Dublin Core

Title

COVID-19 Moran's I Residuals

Subject

This map shows how lack of access to running water, lack of cellphone service, and the portion of the population having been below the poverty level for a year affect the outcome of Covid-19 deaths.

Description

The residuals of this map were ran in SAS based on Poisson to be more accurate. From there they were put back into ArcGis. Moran's I shows that the model is almost perfectly random with a score of 0.012.

Creator

Janice Hall

Source

Lacking of Plumbing Facilities: This data comes from the CDC's American Community Survey from 2019. It is the premier source for detailed population and housing information about our nation.

Cellphone Service Data: This data comes from the CDC's American Community Survey from 2019.

Poverty Population:This data comes from the CDC's American Community Survey from 2019.

COVID-19 Death data: The death counts were downloaded from New York Times GitHub on April 14, 2021.

Publisher

[Website maintained by Chantel Sloan, Associate Professor in the Public Health Department at Brigham Young University].

Date

Dates are included from 2019 and deaths from January 2020 until April 14, 2021.

Contributor

Janice Hall

Rights

Esri, HERE, Garmin, FAO, NOAA, USGS, EPA,

Relation

NA

Format

PDF

Language

English

Type

ArcGIS 2.7.1

Coverage

The map shows all of Arizona, Colorado, New Mexico, and Utah.

Files

MoransI.pdf

Reference

Janice Hall, COVID-19 Moran's I Residuals, [Website maintained by Chantel Sloan, Associate Professor in the Public Health Department at Brigham Young University]., Dates are included from 2019 and deaths from January 2020 until April 14, 2021.