Evidence map›Paper›PMID 41045428›Full record

ArticleHealth care management science2025

A descriptive investigation of the impact of statewide distribution policies and consumer vulnerabilities on COVID-19 vaccination in the united States.

Kathleen Iacocca, Beth Vallen, Alicia Strandberg, Laura Meinzen-Dick

Abstract read
In one paragraph

Article in Health care management science, 2025. 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
–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

0 citing papers in PubMed.

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

4 authors.

Kathleen IacoccaDepartment of Management & Operations Villanova, Villanova University, Villanova, PA, USA. kathleen.iacocca@villanova.edu.ORCID http://orcid.org/0009-0000-8275-5316
Beth VallenDepartment of Marketing & Business Law Villanova, Villanova University, Villanova, PA, USA.ORCID http://orcid.org/0000-0001-7878-486X
Alicia StrandbergDepartment of Management & Operations Villanova, Villanova University, Villanova, PA, USA.ORCID http://orcid.org/0000-0003-1235-4685
Laura Meinzen-DickAgricultural, Food, and Resource Economics, Michigan State University, East Lansing, MI, USA.ORCID http://orcid.org/0000-0002-1349-7429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research leverages data from various disparate sources to examine how state-level policy distribution decisions and local, county-level population vulnerability factors likely to hinder vaccination influenced COVID-19 vaccination efforts across the United States. Unlike other nations that coordinated their responses at a national level, this study uses U.S. states and counties as individual units of analysis. This approach allows for an assessment of which policies and population attributes were most impactful in driving vaccination and ensuring efficient and equitable distribution among citizens. By focusing on the diverse strategies employed by different states in terms of (1) defining the entity responsible for distribution policy, (2) determining the groups eligible for vaccination, and (3) the timing for communication of distribution plans for vaccination, this descriptive investigation sheds light on the effectiveness of state-level interventions and contributes to a deeper understanding of how to manage large-scale public health initiatives. By identifying successful strategies and potential pitfalls, the study provides a roadmap for responding to future pandemics, ensuring that vaccination efforts can be swiftly and fairly implemented to protect public health.

Indexed as

COVID-19COVID-19 VaccinesHealth PolicyVaccinationHumansSARS-CoV-2United StatesCOVID-19 VaccinesCOVID-19Health disparitiesPandemic preparednessPandemic responsePublic health policyVaccine distribution

Identifiers

PMID41045428
PMCPMC12743685

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.