ArticleVaccine2024
Identifying trusted local sources and predicting behavior change pathways according to COVID-19 vaccination status: Results of a 2022 statewide survey of Alaskan adults.
Article in Vaccine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- A Capabilities, Opportunities, and Motivations behavioral analysis of healthcare professionals concerning dengue vaccination in selected countries from Latin America and Asia Pacific.Human vaccines & immunotherapeutics · 2026Article
- AI Meets Attitudes: Cross-Sectional Quantitative Study of COVID-19 Vaccine Hesitancy in Alaska's Diverse Communities.Journal of medical Internet research · 2026Article
- Guideline-concordant care and outcomes for pediatric malaria cases: descriptive evidence from pharmacy-based fever management in Kenya.Malaria journal · 2026Article
- Building better conversations: results of a community-based online health misinformation and motivational interviewing training program in Alaska.BMC public health · 2026Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundLow rates of COVID-19 vaccination remain a substantial public health challenge. Despite early successes, vaccinations of Alaskans trail the US average, drawing attention to the need for better-designed and targeted vaccine confidence interventions. Our objective was to assess levels of community trust and theory-driven predictors of vaccination status to inform the design of future programs.
methodsWe conducted a cross-sectional, telephone-based survey of 940 Alaskan adults between May and June 2022. Data were collected on vaccination status (including initial vaccination and receipt of booster shots), trust in local community members, demographic characteristics, and thematic questions designed using the Capability, Opportunity, Motivation - Behavior (COM-B) model to examine possible predictors (barriers/facilitators) of vaccination status.
findingsAmong those who are not fully vaccinated and boosted, we observe significantly lower trust placed in many immediate community members, especially health workers (e.g., doctors, nurses, specialty care physicians, health administrators). Firefighters and emergency medical technicians enjoy the most community trust, followed by medical professionals. Among those who received only a primary vaccine series, we find that perceptions of whether close friends are vaccinated, a sense of professional responsibility, and age were the strongest predictors vaccination status. Among the unvaccinated, we find significant predictive power from the same variables, as well as perceptions of whether family members are vaccinated, perceived risks from non-vaccination and whether vaccination is a healthy choice.
conclusionsThese findings will help inform the design and targeting of future vaccine promotion interventions to adult populations in Alaska. Interventions that leverage reflective motivation and social opportunity domains of the COM-B framework may be most effective. Local community members including firefighters and emergency medical technicians, as well as medical professionals may be perceived as the most trustworthy and influential messengers among those who are not fully vaccinated and boosted.
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Registered trials
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