Evidence map›Paper›PMID 38051568›Full record

ArticleJMIR public health and surveillance2023

Residential Segregation and County-Level COVID-19 Booster Coverage in the Deep South: Surveillance Report and Ecological Study.

Chengbo Zeng, Jiajia Zhang, Zhenlong Li, Xiaowen Sun, Huan Ning, Xueying Yang, Sharon Weissman, Bankole Olatosi, Xiaoming Li

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Telehealth-Readiness, Healthcare Access, and Cardiovascular Health in the Deep South: A Spatial Perspective.International journal of environmental research and public health · 2025
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chengbo ZengDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-3512-1115
Jiajia ZhangSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-4566-0822
Zhenlong LiSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-8938-5466
Xiaowen SunSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-1102-350X
Huan NingBig Data Health Science Center, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-3698-3240
Xueying YangDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0001-6788-0688
Sharon WeissmanSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-2854-5745
Bankole OlatosiSouth Carolina SmartState Center for Healthcare Quality, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-8295-8735
Xiaoming LiDepartment of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-5555-9034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 had a greater impact in the Deep South compared with other regions in the United States. While vaccination remains a top priority for all eligible individuals, data regarding the progress of booster coverage in the Deep South and how the coverage varies by county and age are sparse. Despite existing evidence of racial and ethnic disparities in COVID-19 vaccinations at the individual level, there is an urgent need for evidence at the population level. Such information could highlight vulnerable communities and guide future health care policy-making and resource allocation.

objectiveWe aimed to evaluate county-level COVID-19 booster coverage by age group in the Deep South and explore its association with residential segregation.

methodsAn ecological study was conducted at the population level by integrating COVID-19 vaccine surveillance data, residential segregation index, and county-level factors across the 418 counties of 5 Deep South states from December 15, 2021, to October 19, 2022. We analyzed the cumulative percentages of county-level COVID-19 booster uptake by age group (eg, 12 to 17 years, 18 to 64 years, and at least 65 years) by the end of the study period. The longitudinal relationships were examined between residential segregation, the interaction of time and residential segregation, and COVID-19 booster coverage using the Poisson model.

resultsAs of October 19, 2022, among the 418 counties, the median of booster uptake was 40% (IQR 37.8%-43%). Compared with older adults (ie, at least 65 years; median 63.1%, IQR 59.5%-66.5%), youth (ie, 12 to 17 years; median 14.1%, IQR 11.3%-17.4%) and adults (ie, 18 to 64 years; median 33.4%, IQR 30.5%-36.5%) had lower percentages of booster uptake. There was geospatial heterogeneity in the county-level COVID-19 booster coverage. We found that higher segregated counties had lower percentages of booster coverage. Such relationships attenuated as time increased. The findings were consistent across the age groups.

conclusionsThe progress of county-level COVID-19 booster coverage in the Deep South was slow and varied by age group. Residential segregation precluded the county-level COVID-19 booster coverage across age groups. Future efforts regarding vaccination strategies should focus on youth and adults. Health care facilities and resources are needed in racial and ethnic minority communities.

Indexed as

COVID-19EthnicityAdolescentAgedChildCOVID-19 VaccinesHumansMinority GroupsResidential SegregationUnited StatesCOVID-19 VaccinesboosterCOVID-19Deep Southresidential segregationvaccine

Identifiers

PMID38051568
PMCPMC10699407

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.