ArticleAmerican journal of preventive medicine2022
Multiscale Dimensions of Spatial Process: COVID-19 Fully Vaccinated Rates in U.S. Counties.
Article in American journal of preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Geospatial disparities in post-pandemic SARS-CoV-2 vaccination: Evidence from Chile beyond the national success.PLOS global public health · 2026Article
- Religious Traditions Exhibit Heterogeneous Effects on Vaccination Uptake: A U.S. County-Level Regression Analysis Supporting Tailored Health Outreach.American journal of preventive medicine · 2026Article
- Funding and Delivery of Syringe Services Programs in the United States, 2022.American journal of public health · 2024Article
- Biden's approval, record inflation, economic recovery, COVID-19 mortality, and vaccination rate among Americans-A longitudinal study of state-level data from April 2021 to January 2022.Preventive medicine reports · 2023Article
- Multiscale dimensions of county-level disparities in opioid use disorder rates among older Medicare beneficiaries.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
introductionThis study aimed to examine the heterogeneity of the associations between social determinants and COVID-19 fully vaccinated rate.
methodsThis 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.
resultsThe results suggest the following: (1) Percentage of Republican votes in the 2020 presidential election is a primary influencer because 84% of the U.S. population lived in counties where this determinant is found the most dominant; (2) Demographic compositions (e.g., percentages of racial/ethnic minorities) play a larger role than socioeconomic conditions (e.g., unemployment) in shaping fully vaccinated rates; (3) The spatial process underlying fully vaccinated rates is largely local.
conclusionsThe findings challenge the 1-size-fits-all approach to designing interventions promoting COVID-19 vaccination and highlight the importance of a place-based perspective in ecological health research.
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