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Saliva detection of SARS-CoV-2 for mitigating company outbreaks: a surveillance experience, Milan, Italy, March 2021

Published online by Cambridge University Press:  30 July 2021

Emerenziana Ottaviano
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
Chiara Parodi
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
Elisa Borghi
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
Valentina Massa
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
Cristina Gervasini
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
Stefano Centanni
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
Gianvincenzo Zuccotti
Affiliation:
Department of Paediatrics, Children Hospital V. Buzzi, Università degli Studi di Milano, Milan, Italy
Silvia Bianchi*
Affiliation:
Department of Health Sciences, Università degli Studi di Milano, Via Rudinì, 8, 20142 Milan, Italy
*
Author for correspondence: Silvia Bianchi, E-mail: silvia.bianchi@unimi.it
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Abstract

Monitoring the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) community-wide transmission with a suitable and effective sampling method would be of great support for public health response to the spreading due to asymptomatic subjects in the community.

Here, we describe how using saliva samples for SARS-CoV-2 detection has allowed for a weekly surveillance of a small business company and the early detection of coronavirus disease 2019 cases.

As on 23rd March, two cases were detected and investigated, and control measures were rapidly applied.

Information

Type
From the Field
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Fig. 1. Timeline of the active surveillance: in grey, planned surveillance; in purple, tight-mode surveillance; in green, self-reported clinical data.

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