Cargando…
Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases
Here we analyze SARS-CoV-2 genome copies in Catalonia’s wastewater during the Omicron peak and develop a mathematical model to estimate the number of infections and the temporal relationship between reported and unreported cases. 1-liter samples from 16 wastewater treatment plants were collected and...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265495/ https://www.ncbi.nlm.nih.gov/pubmed/37354838 http://dx.doi.org/10.1016/j.watres.2023.120223 |
_version_ | 1785058544324706304 |
---|---|
author | Mattei, Mattia Pintó, Rosa M. Guix, Susana Bosch, Albert Arenas, Alex |
author_facet | Mattei, Mattia Pintó, Rosa M. Guix, Susana Bosch, Albert Arenas, Alex |
author_sort | Mattei, Mattia |
collection | PubMed |
description | Here we analyze SARS-CoV-2 genome copies in Catalonia’s wastewater during the Omicron peak and develop a mathematical model to estimate the number of infections and the temporal relationship between reported and unreported cases. 1-liter samples from 16 wastewater treatment plants were collected and used in a compartmental epidemiological model. The average correlation between genome copies and reported cases was 0.85, with an average delay of 8.8 days. The model estimated that 53% of the population was infected, compared to the 19% reported cases. The under-reporting was highest in November and December 2021. The maximum genome copies shed in feces by an infected individual was estimated to range from [Formula: see text] gc/g to [Formula: see text] gc/g. Our framework demonstrates the potential of wastewater data as a leading indicator for daily new infections, particularly in contexts with low detection rates. It also serves as a complementary tool for prevalence estimation and offers a general approach for integrating wastewater data into compartmental models. |
format | Online Article Text |
id | pubmed-10265495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102654952023-06-14 Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases Mattei, Mattia Pintó, Rosa M. Guix, Susana Bosch, Albert Arenas, Alex Water Res Article Here we analyze SARS-CoV-2 genome copies in Catalonia’s wastewater during the Omicron peak and develop a mathematical model to estimate the number of infections and the temporal relationship between reported and unreported cases. 1-liter samples from 16 wastewater treatment plants were collected and used in a compartmental epidemiological model. The average correlation between genome copies and reported cases was 0.85, with an average delay of 8.8 days. The model estimated that 53% of the population was infected, compared to the 19% reported cases. The under-reporting was highest in November and December 2021. The maximum genome copies shed in feces by an infected individual was estimated to range from [Formula: see text] gc/g to [Formula: see text] gc/g. Our framework demonstrates the potential of wastewater data as a leading indicator for daily new infections, particularly in contexts with low detection rates. It also serves as a complementary tool for prevalence estimation and offers a general approach for integrating wastewater data into compartmental models. The Author(s). Published by Elsevier Ltd. 2023-08-15 2023-06-14 /pmc/articles/PMC10265495/ /pubmed/37354838 http://dx.doi.org/10.1016/j.watres.2023.120223 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mattei, Mattia Pintó, Rosa M. Guix, Susana Bosch, Albert Arenas, Alex Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
title | Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
title_full | Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
title_fullStr | Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
title_full_unstemmed | Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
title_short | Analysis of SARS-CoV-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
title_sort | analysis of sars-cov-2 in wastewater for prevalence estimation and investigating clinical diagnostic test biases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265495/ https://www.ncbi.nlm.nih.gov/pubmed/37354838 http://dx.doi.org/10.1016/j.watres.2023.120223 |
work_keys_str_mv | AT matteimattia analysisofsarscov2inwastewaterforprevalenceestimationandinvestigatingclinicaldiagnostictestbiases AT pintorosam analysisofsarscov2inwastewaterforprevalenceestimationandinvestigatingclinicaldiagnostictestbiases AT guixsusana analysisofsarscov2inwastewaterforprevalenceestimationandinvestigatingclinicaldiagnostictestbiases AT boschalbert analysisofsarscov2inwastewaterforprevalenceestimationandinvestigatingclinicaldiagnostictestbiases AT arenasalex analysisofsarscov2inwastewaterforprevalenceestimationandinvestigatingclinicaldiagnostictestbiases |