Multiscale Dimensions of Spatial Process: COVID-19 Fully Vaccinated Rates in U.S. Counties.

ABSTRACT:

Introduction

This study aimed to examine the heterogeneity of the associations between social determinants and COVID-19 fully vaccinated rate.

Methods

This study proposes 3 multiscale dimensions of spatial process, including level of influence (the percentage of population affected by a certain determinant across the entire area), scalability (the spatial process of a determinant into global, regional, and local process), and specificity (the determinant that has the strongest association with the fully vaccinated rate). The multiscale geographically weighted regression was applied to the COVID-19 fully vaccinated rates in U.S. counties (N=3,106) as of October 26, 2021, and the analyses were conducted in May 2022.

Results

The results suggest the following: (1) Percent

SUBMITTER: Yang TC 

PROVIDER: S-EPMC9259504 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature