Development of prediction models of COVID-19 vaccine uptake among Lebanese and Syrians in a district of Beirut, Lebanon: a population-based study

These findings indicate barriers to vaccine uptake among Syrian refugees and migrants, including legal residency status. These findings call for urgent action to enable equitable access to vaccines by raising awareness about the importance of vaccination and the targeting of migrant and refugee populations through vaccination campaigns.

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Publication Details

Journal
BMJ Public Health
Published
2024-10-01
DOI
https://doi.org/10.1136/bmjph-2024-001240
Citations
2
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
1.06

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article

Development of prediction models of COVID-19 vaccine uptake among Lebanese and Syrians in a district of Beirut, Lebanon: a population-based study

Jocelyn DeJong, Stephen J. McCall, Nada M. Melhem, Marie‐Elizabeth Ragi et al.
2 citations
BMJ Public Health
Vaccine Coverage and Hesitancy
1.06
article

Development of prediction models of COVID-19 vaccine uptake among Lebanese and Syrians in a district of Beirut, Lebanon: a population-based study

Jocelyn DeJong, Stephen J. McCall, Nada M. Melhem, Marie‐Elizabeth Ragi, Hala Ghattas, Hazar Shamas
article en
2 citations

Abstract

These findings indicate barriers to vaccine uptake among Syrian refugees and migrants, including legal residency status. These findings call for urgent action to enable equitable access to vaccines by raising awareness about the importance of vaccination and the targeting of migrant and refugee populations through vaccination campaigns.

BMJ Public HealthVol. 2(2)
University of South Carolina (US), American University of Beirut (LB)
International Development Research Centre, China Academy of Engineering Physics
Reduced inequalities
Openalex Percentile: Top 21%
Vaccine Coverage and Hesitancy
1.06
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