Cargando…
Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection
Since the start of the coronavirus disease-2019 (COVID-19) pandemic, there has been interest in using wastewater monitoring as an approach for disease surveillance. A significant uncertainty that would improve the interpretation of wastewater monitoring data is the intensity and timing with which in...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795777/ https://www.ncbi.nlm.nih.gov/pubmed/35068403 http://dx.doi.org/10.1017/S0950268821002752 |
_version_ | 1784641146944749568 |
---|---|
author | Cavany, Sean Bivins, Aaron Wu, Zhenyu North, Devin Bibby, Kyle Perkins, T. Alex |
author_facet | Cavany, Sean Bivins, Aaron Wu, Zhenyu North, Devin Bibby, Kyle Perkins, T. Alex |
author_sort | Cavany, Sean |
collection | PubMed |
description | Since the start of the coronavirus disease-2019 (COVID-19) pandemic, there has been interest in using wastewater monitoring as an approach for disease surveillance. A significant uncertainty that would improve the interpretation of wastewater monitoring data is the intensity and timing with which individuals shed RNA from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into wastewater. By combining wastewater and case surveillance data sets from a university campus during a period of heightened surveillance, we inferred that individual shedding of RNA into wastewater peaks on average 6 days (50% uncertainty interval (UI): 6–7; 95% UI: 4–8) following infection, and that wastewater measurements are highly overdispersed [negative binomial dispersion parameter, k = 0.39 (95% credible interval: 0.32–0.48)]. This limits the utility of wastewater surveillance as a leading indicator of secular trends in SARS-CoV-2 transmission during an epidemic, and implies that it could be most useful as an early warning of rising transmission in areas where transmission is low or clinical testing is delayed or of limited capacity. |
format | Online Article Text |
id | pubmed-8795777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87957772022-01-28 Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection Cavany, Sean Bivins, Aaron Wu, Zhenyu North, Devin Bibby, Kyle Perkins, T. Alex Epidemiol Infect Original Paper Since the start of the coronavirus disease-2019 (COVID-19) pandemic, there has been interest in using wastewater monitoring as an approach for disease surveillance. A significant uncertainty that would improve the interpretation of wastewater monitoring data is the intensity and timing with which individuals shed RNA from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into wastewater. By combining wastewater and case surveillance data sets from a university campus during a period of heightened surveillance, we inferred that individual shedding of RNA into wastewater peaks on average 6 days (50% uncertainty interval (UI): 6–7; 95% UI: 4–8) following infection, and that wastewater measurements are highly overdispersed [negative binomial dispersion parameter, k = 0.39 (95% credible interval: 0.32–0.48)]. This limits the utility of wastewater surveillance as a leading indicator of secular trends in SARS-CoV-2 transmission during an epidemic, and implies that it could be most useful as an early warning of rising transmission in areas where transmission is low or clinical testing is delayed or of limited capacity. Cambridge University Press 2022-01-07 /pmc/articles/PMC8795777/ /pubmed/35068403 http://dx.doi.org/10.1017/S0950268821002752 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Original Paper Cavany, Sean Bivins, Aaron Wu, Zhenyu North, Devin Bibby, Kyle Perkins, T. Alex Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection |
title | Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection |
title_full | Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection |
title_fullStr | Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection |
title_full_unstemmed | Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection |
title_short | Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection |
title_sort | inferring sars-cov-2 rna shedding into wastewater relative to the time of infection |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795777/ https://www.ncbi.nlm.nih.gov/pubmed/35068403 http://dx.doi.org/10.1017/S0950268821002752 |
work_keys_str_mv | AT cavanysean inferringsarscov2rnasheddingintowastewaterrelativetothetimeofinfection AT bivinsaaron inferringsarscov2rnasheddingintowastewaterrelativetothetimeofinfection AT wuzhenyu inferringsarscov2rnasheddingintowastewaterrelativetothetimeofinfection AT northdevin inferringsarscov2rnasheddingintowastewaterrelativetothetimeofinfection AT bibbykyle inferringsarscov2rnasheddingintowastewaterrelativetothetimeofinfection AT perkinstalex inferringsarscov2rnasheddingintowastewaterrelativetothetimeofinfection |