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Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic

[Image: see text] Wastewater-based epidemiology (WBE) has emerged as an effective tool for monitoring SARS-CoV-2 dynamics during the COVID-19 pandemic. Here, we add a spatial component to WBE and use it to investigate SARS-CoV-2 spread in the canton of Ticino during the onset of the pandemic in Swit...

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Autores principales: Cariti, Federica, Tuñas Corzon, Alex, Fernandez-Cassi, Xavier, Ganesanandamoorthy, Pravin, Ort, Christoph, Julian, Timothy R., Kohn, Tamar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664445/
https://www.ncbi.nlm.nih.gov/pubmed/36398130
http://dx.doi.org/10.1021/acsestwater.2c00082
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author Cariti, Federica
Tuñas Corzon, Alex
Fernandez-Cassi, Xavier
Ganesanandamoorthy, Pravin
Ort, Christoph
Julian, Timothy R.
Kohn, Tamar
author_facet Cariti, Federica
Tuñas Corzon, Alex
Fernandez-Cassi, Xavier
Ganesanandamoorthy, Pravin
Ort, Christoph
Julian, Timothy R.
Kohn, Tamar
author_sort Cariti, Federica
collection PubMed
description [Image: see text] Wastewater-based epidemiology (WBE) has emerged as an effective tool for monitoring SARS-CoV-2 dynamics during the COVID-19 pandemic. Here, we add a spatial component to WBE and use it to investigate SARS-CoV-2 spread in the canton of Ticino during the onset of the pandemic in Switzerland (end of February 2020 to beginning of March 2020). Ticino is located at the border to Northern Italy, where a large COVID-19 outbreak occurred in February 2020. Not surprisingly, Ticino was the site of the first clinically confirmed COVID-19 case in Switzerland. We retrospectively analyzed daily influent samples from nine wastewater treatment plants in Ticino that jointly cover an area of 20 km × 60 km and 351,000 people (>99% of the population). Our result is a fine-grained view of the spatiotemporal evolution of the COVID-19 pandemic in this canton. The wastewater analysis revealed that by February 29, 2020, SARS-CoV-2 had already spread to all catchments. At the same time, only four individual cases had been clinically confirmed across the region served by the treatment plants investigated. Our results demonstrate that WBE could serve as a versatile tool to monitor the introduction and spread of an infectious agent on a regional scale. To fully exploit its utility, WBE should be implemented in real time and become an integral part of future disease surveillance efforts.
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spelling pubmed-96644452022-11-15 Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic Cariti, Federica Tuñas Corzon, Alex Fernandez-Cassi, Xavier Ganesanandamoorthy, Pravin Ort, Christoph Julian, Timothy R. Kohn, Tamar ACS ES T Water [Image: see text] Wastewater-based epidemiology (WBE) has emerged as an effective tool for monitoring SARS-CoV-2 dynamics during the COVID-19 pandemic. Here, we add a spatial component to WBE and use it to investigate SARS-CoV-2 spread in the canton of Ticino during the onset of the pandemic in Switzerland (end of February 2020 to beginning of March 2020). Ticino is located at the border to Northern Italy, where a large COVID-19 outbreak occurred in February 2020. Not surprisingly, Ticino was the site of the first clinically confirmed COVID-19 case in Switzerland. We retrospectively analyzed daily influent samples from nine wastewater treatment plants in Ticino that jointly cover an area of 20 km × 60 km and 351,000 people (>99% of the population). Our result is a fine-grained view of the spatiotemporal evolution of the COVID-19 pandemic in this canton. The wastewater analysis revealed that by February 29, 2020, SARS-CoV-2 had already spread to all catchments. At the same time, only four individual cases had been clinically confirmed across the region served by the treatment plants investigated. Our results demonstrate that WBE could serve as a versatile tool to monitor the introduction and spread of an infectious agent on a regional scale. To fully exploit its utility, WBE should be implemented in real time and become an integral part of future disease surveillance efforts. American Chemical Society 2022-05-20 2022-11-11 /pmc/articles/PMC9664445/ /pubmed/36398130 http://dx.doi.org/10.1021/acsestwater.2c00082 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Cariti, Federica
Tuñas Corzon, Alex
Fernandez-Cassi, Xavier
Ganesanandamoorthy, Pravin
Ort, Christoph
Julian, Timothy R.
Kohn, Tamar
Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic
title Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic
title_full Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic
title_fullStr Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic
title_full_unstemmed Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic
title_short Wastewater Reveals the Spatiotemporal Spread of SARS-CoV-2 in the Canton of Ticino (Switzerland) during the Onset of the COVID-19 Pandemic
title_sort wastewater reveals the spatiotemporal spread of sars-cov-2 in the canton of ticino (switzerland) during the onset of the covid-19 pandemic
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664445/
https://www.ncbi.nlm.nih.gov/pubmed/36398130
http://dx.doi.org/10.1021/acsestwater.2c00082
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