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Evidence of SARS-CoV-2 Reinfection: Analysis of 35,000 Subjects and Overview of Systematic Reviews

19 Pages Posted: 4 Apr 2022

See all articles by Valentina Pecoraro

Valentina Pecoraro

Azienda USL di Modena - Department of Laboratory Medicine and Pathology

Tommaso Pirotti

Azienda USL di Modena - Department of Laboratory Medicine and Pathology

Tommaso Trenti

Azienda USL di Modena - Department of Laboratory Medicine and Pathology

More...

Abstract

Background: Reinfection by SARS-CoV-2 is a rare but possible event. We evaluated the prevalence of reinfections in the Province of Modena and performed an overview of systematic reviews to summarize the current knowledge.

Methods: We applied big data analysis and retrospectively analysed the results of oro- or naso-pharyngeal swab results tested for molecular research of viral RNA of SARS-CoV-2 between 1 January 2021 to 30 June 2021 at a single center. We selected individuals with a samples sequence of positive, negative and then positive results. Between first and second positive result we considered a time interval of 90 days to be sure of a reinfection.We also performed a search for and evaluation of systematic reviews reporting SARS-CoV-2 reinfection rates. Main information was collected and the methodological quality of each review was assessed, according to A MeaSurement Tool to Assess systematic Reviews (AMSTAR).

Results: Initial positive results were revealed in more than 35,000 (20%) subjects; most (28%) were aged 30-49 years old. Reinfection was reported in 1,258 (3.5%); most (33%) were aged 30-49 years old. Reinfection rates according to vaccinated or non-vaccinated subjects were 0.6% vs 1.1% (p<0.0001).Nine systematic reviews were identified and confirmed that SARS-CoV-2 reinfection rate is a rare event. AMSTAR revealed very low-moderate levels of quality among selected systematic reviews.

Conclusions: There is a real, albeit rare risk of SARS-CoV-2 reinfection. Big data analysis enabled accurate estimates of the reinfection rates. Nevertheless, a standardized approach to identify and report reinfection cases should be developed.

Funding: The authors received no financial support for the research, authorship, and/or publication of this article.

Declaration of Interest: None to declare.

Keywords: reinfection, SARS-CoV-2, big data analysis

Suggested Citation

Pecoraro, Valentina and Pirotti, Tommaso and Trenti, Tommaso, Evidence of SARS-CoV-2 Reinfection: Analysis of 35,000 Subjects and Overview of Systematic Reviews. Available at SSRN: https://ssrn.com/abstract=4074665 or http://dx.doi.org/10.2139/ssrn.4074665

Valentina Pecoraro (Contact Author)

Azienda USL di Modena - Department of Laboratory Medicine and Pathology ( email )

Italy

Tommaso Pirotti

Azienda USL di Modena - Department of Laboratory Medicine and Pathology ( email )

Italy

Tommaso Trenti

Azienda USL di Modena - Department of Laboratory Medicine and Pathology ( email )

Italy

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