Evidence map›Paper›PMID 42078486›Full record

ArticleIJID regions2026

Breakthrough COVID-19 infections among healthcare workers at a tertiary care hospital in Beirut: Prevalence and determinants.

Ibrahim Ismail, Walaa Melhem, Jana Berro, Hilal Abdessamad, Sanaa Zoghbi, Tarek Madani, Rola Husni

Abstract read
In one paragraph

Article in IJID regions, 2026. 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

7 authors.

Ibrahim IsmailLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.
Walaa MelhemBeirut Arab University, Faculty of Medicine, Beirut, Lebanon.
Jana BerroLebanese American University School of Medicine, Beirut, Lebanon.
Hilal AbdessamadLebanese American University School of Medicine, Beirut, Lebanon.
Sanaa ZoghbiLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.
Tarek MadaniLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.
Rola HusniLebanese American University Medical Center - Rizk Hospital, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Despite mass vaccination campaigns to limit the spread of COVID-19, breakthrough infections have been reported in many countries. This raises global concern regarding the longevity and scope of vaccine-induced immunity, especially among high-risk populations such as healthcare workers (HCWs). This study aimed to examine the prevalence and predictors of breakthrough infections among HCWs at a tertiary care hospital in Beirut. Methods: A cross-sectional study was conducted among 300 HCWs from clinical and non-clinical departments. Data were collected using a structured questionnaire assessing demographics, vaccination, COVID-19 exposure, compliance with preventive measures, symptoms, and clinical outcomes with bivariate and multivariate analysis. Data were collected from participants between November and December 2023. Results: Of the 300 HCWs, 36.5% (n = 46) had breakthrough infections. In multivariate analysis, receiving more vaccine doses was associated with reduced odds of breakthrough infection (odds ratio = 0.315, 95% confidence interval: 0.116-0.855, Conclusion: Receiving more COVID-19 vaccine doses was significantly associated with a reduced likelihood of breakthrough infection among HCWs. These findings emphasize the importance of booster vaccination and support continued efforts to promote full vaccine coverage within healthcare settings.

Indexed as

Breakthrough infectionCOVID-19Healthcare workersVaccine

Identifiers

PMID42078486
PMCPMC13129388

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Registered trials

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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.