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Published in: BMC Infectious Diseases 1/2021

Open Access 01-12-2021 | SARS-CoV-2 | Research

Estimating asymptomatic SARS-CoV-2 infections in a geographic area of low disease incidence

Authors: Valeria Caturano, Barbara Manti, Fortunata Carbone, Vito Alessandro Lasorsa, Roberta Colicchio, Mario Capasso, Antonio Leonardi, Giuseppe Matarese, Tommaso Russo, Paola Salvatore

Published in: BMC Infectious Diseases | Issue 1/2021

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Abstract

Background

The SARS-CoV-2 infection has emerged as a rapidly spreading infection. Today it is relatively easy to isolate Covid-19 symptomatic cases, while remains problematic to control the disease spread by infected but symptom-free individuals. The control of this possible path of contagion requires drastic measures of social distancing, which imply the suspension of most activities and generate economic and social issues. This study is aimed at estimating the percentage of asymptomatic SARS-CoV-2 infection in a geographic area with relatively low incidence of Covid-19.

Methods

Blood serum samples from 388 healthy volunteers were analyzed for the presence of anti-SARS-CoV-2 IgG by using an ELISA assay based on recombinant viral nucleocapsid protein.

Results

We found that 7 out of 388 healthy volunteers, who declared no symptoms of Covid-19, like fever, cough, fatigue etc., in the preceding 5 months, have bona fide serum anti-SARS-CoV-2 IgG, that is 1.8% of the asymptomatic population (95% confidence interval: 0.69–2.91%).

Conclusions

The estimated range of asymptomatic individuals with anti-SARS-CoV-2 IgG should be between 26,565 and 112, 350. In the same geographic area, there are 4665 symptomatic diagnosed cases.
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Metadata
Title
Estimating asymptomatic SARS-CoV-2 infections in a geographic area of low disease incidence
Authors
Valeria Caturano
Barbara Manti
Fortunata Carbone
Vito Alessandro Lasorsa
Roberta Colicchio
Mario Capasso
Antonio Leonardi
Giuseppe Matarese
Tommaso Russo
Paola Salvatore
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2021
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-021-06054-2

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