Evidence map›Paper›PMID 42252138›Full record

ArticleBMJ open2026

Global prevalence and determinants of hospital-acquired COVID-19: protocol for a systematic review and meta-analysis.

Noach Leon Ribaric, Zixue O'Neill-Byrne, Achim Hellinger, Daniel Pan, Nick M Wilson, Ignazio Maria Viola, Timothy S Walsh, Tom Lawton, Sergejs Afanasjevs, Clementina Calabria and 3 more

Abstract read
In one paragraph

Article in BMJ open, 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

13 authors.

Noach Leon RibaricFaculty of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID http://orcid.org/0000-0002-5234-2788
Zixue O'Neill-ByrneSchool of Engineering, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0009-0005-5602-6685
Achim HellingerDepartment of General, Visceral, Endocrine and Oncologic Surgery, University Medicine Marburg, Fulda, Germany.
Daniel PanDevelopment Centre for Population Health, University of Leicester, Leicester, UK.
Nick M WilsonSchool of Engineering, University of Edinburgh, Edinburgh, UK.
Ignazio Maria ViolaSchool of Engineering, University of Edinburgh, Edinburgh, UK.
Timothy S WalshUsher Institute for Population Health Sciences, University of Edinburgh, Edinburgh, UK.
Tom LawtonImprovement Academy, Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
Sergejs AfanasjevsSchool of Engineering, University of Edinburgh, Edinburgh, UK.
Clementina CalabriaDepartment of Anaesthesia and Critical Care, Royal Infirmary of Edinburgh, Edinburgh, Scotland, UK.
Federico De AngelisRoslin Institute, University of Edinburgh, Edinburgh, UK.
Thomas Theo BrehmDivision of Infectious Diseases, I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Antonia ZapfInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany a.zapf@uke.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA proportion of patients hospitalised for COVID-19 acquire the disease during their hospital stay, underscoring the risk of hospital-acquired COVID-19 (HA-COVID-19). This risk is presumed to be high, given how commonly and intensely air and surfaces within hospitals are reportedly contaminated with SARS-CoV-2. However, the true extent of HA-COVID-19 worldwide remains unknown, with limited understanding of factors that influence its occurrence and how these have evolved over time. This review will therefore aim to estimate the pooled prevalence of HA-COVID-19 among hospitalised COVID-19 patients globally and investigate differences by country, type of hospitals, medical specialty, length and timing of studied periods. METHODS AND ANALYSIS: A systematic review and meta-analysis will be conducted adhering to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. MEDLINE and PubMed Central (via PubMed), Scopus, Embase (via Ovid), the Web of Science Core Collection as well as websites of public health agencies (PHA) will be searched until 1 July 2026. All journal articles and sources from PHAs reporting any primary data on the prevalence of HA-COVID-19 will be included. Methodological quality will be assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data. The primary outcome will be the global prevalence of HA-COVID-19. Data synthesis will include random-effects proportional meta-analysis. Estimates will be presented with two-sided 95% CIs and heterogeneity assessed using the I² statistic. ETHICS AND DISSEMINATION: Ethical approval is not needed as no original data will be generated. This review will be published in an international, peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD420251136884.

Indexed as

COVID-19Cross InfectionGlobal HealthHumansMeta-Analysis as TopicPandemicsPrevalenceResearch DesignSARS-CoV-2Systematic Reviews as TopicCOVID-19Infection controlMeta-AnalysisPUBLIC HEALTHSARS-CoV-2 InfectionSystematic Review

Identifiers

PMID42252138
PMCPMC13250216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.