Occurrence of SARS-CoV-2 infection among healthcare personnel: results from an early systematic review and meta-analysis.


Journal

Acta bio-medica : Atenei Parmensis
ISSN: 2531-6745
Titre abrégé: Acta Biomed
Pays: Italy
ID NLM: 101295064

Informations de publication

Date de publication:
03 11 2021
Historique:
received: 11 08 2020
accepted: 12 08 2020
entrez: 5 11 2021
pubmed: 6 11 2021
medline: 10 11 2021
Statut: epublish

Résumé

SARS-CoV-2 infection has become a global public health concern globally. Even though Healthcare Workers (HCWs) are supposedly at increased risk for SARS-CoV-2 infection, to date no pooled evidence has been collected. We searched online electronic databases (PubMed, Embase, medRxiv.org for pre-prints) for all available contribution (up to May 20, 2019). Two Authors independently screened articles and extracted the data. The pooled prevalence of SARS-CoV-2 was analyzed using the random-effects model. The possible sources of heterogeneity were analyzed through subgroup analysis, and meta-regression. The overall pooled prevalence of SARS-CoV-2 was 3.5% (95%CI 1.8-6.6) for studies based on molecular assays, 5.5% (95%CI 2.1-14.1) for studies based on serological assays, and 6.5% (95%CI 2.5-15.6) for point-of-care capillary blood tests. Among subgroups, serological tests identified higher risk for SARS-CoV-2 seropositivity in physicians than in nurses (OR 1.436, 95%CI 1.026 to 2.008). Regression analysis indicated the possible presence of publication bias only for molecular tests (t -3.3526, p-value 0.002648). The overall pooled prevalence of SARS-CoV-2 was lower than previously expected, but available studies were affected by significant heterogeneity, and the molecular studies by significant publication bias. Therefore, further high-quality research in the field is warranted.

Sections du résumé

BACKGROUND
SARS-CoV-2 infection has become a global public health concern globally. Even though Healthcare Workers (HCWs) are supposedly at increased risk for SARS-CoV-2 infection, to date no pooled evidence has been collected.
MATERIALS AND METHODS
We searched online electronic databases (PubMed, Embase, medRxiv.org for pre-prints) for all available contribution (up to May 20, 2019). Two Authors independently screened articles and extracted the data. The pooled prevalence of SARS-CoV-2 was analyzed using the random-effects model. The possible sources of heterogeneity were analyzed through subgroup analysis, and meta-regression.
RESULTS
The overall pooled prevalence of SARS-CoV-2 was 3.5% (95%CI 1.8-6.6) for studies based on molecular assays, 5.5% (95%CI 2.1-14.1) for studies based on serological assays, and 6.5% (95%CI 2.5-15.6) for point-of-care capillary blood tests. Among subgroups, serological tests identified higher risk for SARS-CoV-2 seropositivity in physicians than in nurses (OR 1.436, 95%CI 1.026 to 2.008). Regression analysis indicated the possible presence of publication bias only for molecular tests (t -3.3526, p-value 0.002648).
CONCLUSIONS
The overall pooled prevalence of SARS-CoV-2 was lower than previously expected, but available studies were affected by significant heterogeneity, and the molecular studies by significant publication bias. Therefore, further high-quality research in the field is warranted.

Identifiants

pubmed: 34738585
doi: 10.23750/abm.v92i5.10438
pmc: PMC8689308
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2021311

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Auteurs

Matteo Riccò (M)

Azienda USL di Reggio EmiliaV.le Amendola n.2 - 42122 REServizio di Prevenzione e Sicurezza negli Ambienti di Lavoro (SPSAL)Dip. di Prevenzione. mricco2000@gmail.com.

Giovanni Gualerzi (G)

2 Department of Medicine and Surgery, School of Medicine, University of Parma, 43123 Parma (PR), Italy. gualerzi@gmail.com.

Silvia Ranzieri (S)

3 Department of Medicine and Surgery, School of Occupational Medicine, University of Parma, I-43123 Parma (PR), Italy. silvia.ranzieri@studenti.unipr.it.

Simona Peruzzi (S)

4 AUSL-IRCCS di Reggio Emilia, Laboratorio Analisi Chimico Cliniche e Microbiologiche, Ospedale Civile di Guastalla, I-42016 Guastalla (RE), Italy. simona.peruzzi@ausl.re.it.

Marina Valente (M)

Department of Medicine and Surgery, Unit of Clinical Surgery, University of Parma, I-43123 Parma (PR), Italy. valentemarina.bis@gmail.com.

Federico Marchesi (F)

Department of Medicine and Surgery, Unit of Clinical Surgery, University of Parma, I-43123 Parma (PR), Italy. federico.marchesi@unipr.it.

Nicola Luigi Bragazzi (NL)

Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada. bragazzi@yorku.ca.

Carlo Signorelli (C)

University "Vita e Salute", San Raffaele Hospital, 20132 Milan (MI), Italy. signorelli.carlo@hsr.it.

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Classifications MeSH