| Autor: |
Hala Ghattas, Jocelyn Dejong, Fadi El-Jardali, Stephen J McCall, Marie-Elizabeth Ragi, Aline Germani, Hazar Shamas, Nada M Melhem |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMJ Public Health, Vol 2, Iss 2 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2753-4294 |
| DOI: |
10.1136/bmjph-2024-001240 |
| Popis: |
Introduction Vaccines are essential to prevent infection and reduce the morbidity of infectious diseases. Previous evidence has shown that migrants and refugees are particularly vulnerable to exclusion and discrimination, and low COVID-19 vaccine intention and uptake were observed among refugees globally. This study aimed to develop and internally validate prediction models of COVID-19 vaccine uptake by nationality.Methods This is a nested prognostic population-based cross-sectional analysis. Data were collected between June and October 2022 in Sin-El-Fil, a district of Beirut, Lebanon. The study population included a random sample of Lebanese adults and all Syrian adults residing in areas of low socioeconomic status. Data were collected through a telephone survey. The main outcome was the uptake of at least one dose of the COVID-19 vaccine. Predictors of COVID-19 vaccine uptake were assessed using the Least Absolute Shrinkage and Selection Operator regression for Lebanese and Syrian nationalities in separate models.Results Of 2028 participants, 79% were Lebanese, 18% Syrians and 3% of other nationalities. COVID-19 vaccination uptake was higher among Lebanese (85% (95% CI 82% to 86%) compared to Syrians (47% (95% CI 43% to 51%)) (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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