Evidence map›Paper›PMID 38143201›Full record

ReviewVaccine2024

Estimating county-level vaccination coverage using small area estimation with the National Immunization Survey-Child.

Zachary H Seeskin, Nadarajasundaram Ganesh, Poulami Maitra, Peter Herman, Kirk M Wolter, Kennon R Copeland, Ned English, Michael P Chen, James A Singleton, Tammy A Santibanez and 6 more

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 2 institutions in 1 country.

Zachary H SeeskinNORC at the University of Chicago, 55 E. Monroe Street, 31(st) Floor, Chicago, IL 60603, USA. Electronic address: Seeskin-Zachary@norc.org.
Nadarajasundaram GaneshNORC at the University of Chicago, 55 E. Monroe Street, 31(st) Floor, Chicago, IL 60603, USA.
Poulami MaitraWalmart, 702 SW 8th Street, Bentonville, AR 72716, USA.
Peter HermanNORC at the University of Chicago, 55 E. Monroe Street, 31(st) Floor, Chicago, IL 60603, USA.
Kirk M WolterNORC at the University of Chicago, 55 E. Monroe Street, 31(st) Floor, Chicago, IL 60603, USA.
Kennon R CopelandNORC at the University of Chicago, 55 E. Monroe Street, 31(st) Floor, Chicago, IL 60603, USA.
Ned EnglishNORC at the University of Chicago, 55 E. Monroe Street, 31(st) Floor, Chicago, IL 60603, USA.
Michael P ChenCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
James A SingletonCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Tammy A SantibanezCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
David YankeyCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Laurie D Elam-EvansCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Natalie SterrettCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Chalanda S SmithCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Kevin GipsonCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Seth MeadorCenters for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA 30329, USA.
Centers for Disease Control and Prevention · USWalmart (United States) · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The National Immunization Survey-Child (NIS-Child) provides annual vaccination coverage estimates in the United States for children aged 19 through 35 months, nationally, for each state, and for select local areas and territories. There is a need for vaccination coverage estimates for smaller geographic areas to support local authority planning and identify counties with potentially low vaccination coverage for possible further intervention. We describe small area estimation methods using 2008-2018 NIS-Child data to generate county-level estimates for children up to two years of age born 2007-2011 and 2012-2016. We applied an empirical best linear unbiased prediction method to combine direct estimates of vaccination coverage with model-based prediction using county-level predictors regarding health and demographic characteristics. We review the predictors commonly selected for the small area models and note multiple predictors related to barriers to vaccination.

Indexed as

VaccinationVaccination CoverageHealth Care SurveysHumansImmunizationImmunization ProgramsInfantUnited StatesFay-Herriot modelJames-Stein estimationRandom digit dialing

Identifiers

PMID38143201
PMCPMC12042557
OpenAlexW4390145988

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.