Evidence map›Paper›PMID 35082975›Full record

ArticleOnline journal of public health informatics2021

COVID-19: A Vaccine Priority Index Mapping Tool for Rapidly Assessing Priority Populations in North Carolina.

Gregory D Kearney, Katherine Jones, Yoo Min Park, Rob Howard, Ray Hylock, Bennett Wall, Maria Clay, Peter Schmidt, John Silvernail

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Gregory D KearneyDepartment of Public Health, Brody School of Medicine at East Carolina University.
Katherine JonesDepartment of Public Health, Brody School of Medicine at East Carolina University.
Yoo Min ParkDepartment of Geography, Planning and Environment, East Carolina University.
Rob HowardDepartment of Geography, Planning and Environment, East Carolina University.
Ray HylockDepartment of Health Services & Information Management, East Carolina University.
Bennett WallVidant Health, Integrated Care.
Maria ClayDepartment of Bioethics & InterdisciplinaryStudies, Brody School of Medicine at East Carolina University.
Peter SchmidtDepartment of Neurology, Grossman School of Medicine, New York University.
John SilvernailPitt County Health Department.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe initial limited supply of COVID-19 vaccine in the U.S. presented significant allocation, distribution, and delivery challenges. Information that can assist health officials, hospital administrators and other decision makers with readily identifying who and where to target vaccine resources and efforts can improve public health response.

objectiveThe objective of this project was to develop a publicly available geographical information system (GIS) web mapping tool that would assist North Carolina health officials readily identify high-risk, high priority population groups and facilities in the immunization decision making process.

methodsPublicly available data were used to identify 14 key health and socio-demographic variables and 5 differing themes (social and economic status; minority status and language; housing situation; at risk population; and health status). Vaccine priority population index (VPI) scores were created by calculating a percentile rank for each variable over each N.C. Census tract. All Census tracts (N = 2,195) values were ranked from lowest to highest (0.0 to 1.0) with a non-zero population and mapped using ArcGIS.

resultsThe VPI tool was made publicly available (https://enchealth.org/) during the pandemic to readily assist with identifying high risk population priority areas in N.C. for the planning, distribution, and delivery of COVID-19 vaccine. DISCUSSION: While health officials may have benefitted by using the VPI tool during the pandemic, a more formal evaluation process is needed to fully assess its usefulness, functionality, and limitations.

conclusionWhen considering COVID-19 immunization efforts, the VPI tool can serve as an added component in the decision-making process.

Indexed as

COVID-19Informaticspublic healthspatialvaccine

Identifiers

PMID35082975
PMCPMC8765798

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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.