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The Conundrum of Giglio Island: Unraveling the dynamics of an apparent resistance to COVID-19 – A descriptive study
- Source :
- Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 1467-1471 (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Objectives: Despite an extensive risk of exposure to COVID-19, the residents of Giglio Island, Italy, did not develop any symptom of SARS-CoV-2. The present study aims to characterize the nature of exposure and to describe the local population dynamics underlying its apparent resistance to COVID-19. Methods: Descriptive study of an islander partially-segregated population cohort based on a seroprevalence screening conducted from Aprile 29 to May 3, 2020 and including SARS-CoV-2 seroprevalence and viral prevalence in samples of saliva assessed through RT-qPCR. Serologic testing was performed using a COVID-19 IgG/IgM rapid test while molecular analyses were carried out by Allplex 2019-nCoV Assay (Seegene). Results: A total of 634 residents out of 748 (84.8%) present at the time, and 89 non-residents underwent serological testing. 364 males and 359 females with a median age of 58.5 years. The serological screening identified one positive, asymptomatic subject. The Nucleic Acid Amplification Tests (NAAT) did not yield any positive result. Conclusion: Despite extensive exposure to SARS-CoV-2, possibly only one new asymptomatic infection occurred in this population, as documented by IgM positivity not confirmed by RT-qPCR. This may be due to unknown protective factors or chance. On the basis of this baseline study, using its population as a reference model, further investigations will be conducted to test the advanced hypotheses, focusing on the evaluation of a possible cross-reactivity to SARS-CoV-2 from exposure to endemic viruses.
- Subjects :
- SARS-CoV-2
COVID-19
Giglio Island
Biotechnology
TP248.13-248.65
Subjects
Details
- Language :
- English
- ISSN :
- 20010370
- Volume :
- 19
- Issue :
- 1467-1471
- Database :
- Directory of Open Access Journals
- Journal :
- Computational and Structural Biotechnology Journal
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3455a4c6042be99d1fd47ed0e74e9
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.csbj.2021.02.008