Evidence map›Paper›PMID 38740077›Full record

ArticleAnnals of epidemiology2024

Population-based denominators matter: Bias in U.S. Virgin Islands COVID-19 vaccination coverage under changing population counts.

Katie Labgold, Hannah M Cranford, Lisa L Ekpo, Valerie V Mac, Joseph Roth, Monife Stout, Esther M Ellis

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PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Katie LabgoldEpidemic Intelligence Service, Division of Workforce Development, Centers for Disease Control and Prevention, Atlanta, GA, USA; U.S. Virgin Islands Department of Health, Christiansted, VI, USA. Electronic address: tqo3@cdc.gov.
Hannah M CranfordU.S. Virgin Islands Department of Health, Christiansted, VI, USA.
Lisa L EkpoU.S. Virgin Islands Department of Health, Christiansted, VI, USA.
Valerie V MacU.S. Virgin Islands Department of Health, Christiansted, VI, USA.
Joseph RothU.S. Virgin Islands Department of Health, Christiansted, VI, USA; Office of Readiness and Response, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Monife StoutU.S. Virgin Islands Department of Health, Christiansted, VI, USA.
Esther M EllisU.S. Virgin Islands Department of Health, Christiansted, VI, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

purposeThe U.S. Virgin Islands (USVI) receives an updated population count once every 10 years and used 2010 decennial census population counts to estimate COVID-19 vaccination coverage during the COVID-19 emergency response. We investigated whether using outdated (2010) or modeled (2020 international database [IDB]) population counts biased vaccination coverage estimates used to inform public health priorities during the 2020-2022 COVID-19 response.

methodsWe estimated percentage of USVI residents with a completed primary COVID-19 vaccination series during December 16, 2020-September 20, 2022. Vaccination coverage was calculated as number of persons who completed the vaccination series divided by 2010 and 2020 decennial census population counts and 2020 IDB intercensal estimate.

resultsCOVID-19 vaccination coverage using the 2020 population count was 12 % points higher than coverage using 2010 denominator (2010 denominator: 51 %; 2020 denominator: 63 %). Vaccination coverage estimated using 2020 IDB was approximately equal with the 2010 decennial census estimate (52 %).

conclusionsUsing 2010 and modeled population counts underestimated 2020 USVI COVID-19 vaccination coverage given the 18 % population decline during 2010-2020, potentially limiting USVI's ability to assess vaccination progress. Identifying mechanisms for more reliable population enumeration or improved estimate modeling are essential for accurately guiding USVI public health decision-making.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2Vaccination CoverageAdolescentAdultAgedBiasFemaleHumansMaleMiddle AgedUnited States Virgin IslandsVaccinationYoung AdultCOVID-19 VaccinesCOVID-19Population denominatorsSurveillanceU.S. Territories and freely associated states

Identifiers

PMID38740077
PMCPMC11235870

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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.