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Meta-Analysis
. 2022 Nov 30;18(6):2131168.
doi: 10.1080/21645515.2022.2131168. Epub 2022 Nov 4.

Vaccine hesitancy in the refugee, immigrant, and migrant population in the United States: A systematic review and meta-analysis

Danielle Daniels  1 , Aamer Imdad  2 , Teaghen Buscemi-Kimmins  3 , Danielle Vitale  3 , Uzma Rani  4 , Ellen Darabaner  5 , Andrea Shaw  6 , Jana Shaw  1
Affiliations
Meta-Analysis

Vaccine hesitancy in the refugee, immigrant, and migrant population in the United States: A systematic review and meta-analysis

Danielle Daniels et al. Hum Vaccin Immunother. .

Abstract

Refugees, immigrants, and migrants (RIM) in the United States (US) have been identified as an underimmunized population prior to the COVID-19 pandemic. Vaccine acceptance is critical to combat the public health threat incited by COVID-19 and other vaccine-preventable disease. To better understand escalating vaccine hesitancy among US RIM, a comprehensive evaluation of the problem and solutions is necessary. In this systematic review, we included 57 studies to describe vaccination rates, barriers, and interventions addressing vaccine hesitancy over the past decade. Meta-analysis was performed among 22 studies, concluding that RIM represent an underimmunized population compared to the general US population. Narrative synthesis and qualitative methods were used to identify critical barriers, including gaps in knowledge, poor access to medical care, and heightened distrust of the medical system. Our results demonstrate the need for effective, evidence-based interventions to increase vaccination rates among diverse RIM populations.

Keywords: Vaccination; immigrant; migrant; refugee; systematic review; vaccine hesitancy.

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Conflict of interest statement

No potential conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
PRISMA diagram.
Figure 2.
Figure 2.
Summary of meta-analyses for rates of vaccination for Foreign-born participants compared to US-born.
See this image and copyright information in PMC

Comment in

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