Genomic surveillance of Canadian airport wastewater samples allows early detection of emerging SARS-CoV-2 lineages DOI Creative Commons
Alyssa K. Overton, Jennifer J. Knapp, Opeyemi U. Lawal

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 3, 2024

Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has shown wastewater (WW) surveillance to be an effective means of tracking the emergence viral lineages which arrive by many routes transmission including via transportation hubs. In Canadian province Ontario, numerous municipal treatment plants (WWTPs) participate in WW infectious disease targets such as SARS-CoV-2 qPCR and whole genome sequencing (WGS). Greater Toronto Airports Authority (GTAA), operator Pearson International Airport (Toronto Pearson), been participating since January 2022. As a major international airport Canada largest national hub, this is ideal location for globally emerging variants concern (VOCs). study, collected from Pearson’s two terminals pooled aircraft sewage was processed WGS using tiled-amplicon approach targeting virus genome. Data generated analyzed monitor trends lineage frequencies. Initial detections were compared between samples, samples surrounding regions, Ontario clinical data published Public Health Ontario. Results enabled early detection VOCs individual mutations On average, novel at preceded 1–4 weeks, up 16 weeks one case. This project illustrates efficacy transitory hubs sets example that could applied other viruses part preparedness strategy provide monitoring on mass scale.

Язык: Английский

Localised wastewater SARS-CoV-2 levels linked to COVID-19 cases: A long-term multisite study in England DOI Creative Commons
Natalia R. Jones, Richard Elson, Matthew J. Wade

и другие.

The Science of The Total Environment, Год журнала: 2025, Номер 962, С. 178455 - 178455

Опубликована: Янв. 1, 2025

Wastewater-based surveillance (WBS) can monitor for the presence of human health pathogens in population. During COVID-19, WBS was widely used to determine wastewater SARS-CoV-2 RNA concentration (concentrations) providing information on community COVID-19 cases (cases). However, studies examining relationship between concentrations and tend be localised or focussed small-scale institutional settings. Few have examined this multiple settings, over long periods, with large sample numbers, nor attempted quantify detail how catchment characteristics affected these. This 18-month study (07/20-12/21) explored correlation quantitative using censored regression. Our analysis >94,000 samples collected from 452 diverse sampling sites (259 Sewage Treatment Works (STW) 193 Sewer Network Sites (SNS)) covering ~65 % English Wastewater were linked ~6 million diagnostically confirmed cases. High coefficients found (STW: median r = 0.66, IQR: 0.57-0.74; SNS: 0.65, 0.54-0.74). The (regression coefficient) variable catchments. Catchment (e.g. size population grab vs automated sampling) had significant but small effects regression coefficients. last six months reduced became highly coincided a shift towards younger cases, vaccinated rapid emergence variant Omicron. programme rapidly introduced at scale during COVID-19. Laboratory methods evolved catchments characteristics. Despite diversity, findings indicate that provides an effective proxy establishing dynamics across wide variety communities. While there is potential predicting concentration, may more smaller scales.

Язык: Английский

Процитировано

0
Academic institution extensive, building-by-building wastewater-based surveillance platform for SARS-CoV-2 monitoring, clinical data correlation, and potential national proxy DOI Creative Commons
Arnoldo Armenta-Castro, Mariel Araceli Oyervides-Muñoz, Alberto Aguayo-Acosta

и другие.

Опубликована: Сен. 5, 2024

Abstract Wastewater-based surveillance has been proposed as a cost-effective toolset to generate data about public health status by detecting specific biomarkers in wastewater samples, shown during the COVID-19 pandemic. In this work, we report on performance of an extensive, building-by-building platform deployed across 38 locations largest private university system Mexico, spanning 19 32 states. Sampling took place weekly from January 2021 and June 2022. Data 343 sampling sites was clustered campus state evaluated through its correlation with seven-day average daily new cases each cluster. Statistically significant linear correlations (p-values below 0.05) were found 25 campuses 13 Moreover, evaluate effectiveness epidemiologic containment measures taken institution potential representative points for future emergencies Monterrey Metropolitan Area, between viral loads samples be stronger Dulces Nombres, treatment plant city (Pearson coefficient: 0.6456, p-value: 6.36710 −8 ), than study 0.4860, 8.288×10 −5 ). However, when comparing after urban mobility returned pre-pandemic levels, levels both became comparable (0.894 0.865 Nombres).

Язык: Английский

Процитировано

1
Genomic surveillance of Canadian airport wastewater samples allows early detection of emerging SARS-CoV-2 lineages DOI Creative Commons
Alyssa K. Overton, Jennifer J. Knapp, Opeyemi U. Lawal

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 3, 2024

Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has shown wastewater (WW) surveillance to be an effective means of tracking the emergence viral lineages which arrive by many routes transmission including via transportation hubs. In Canadian province Ontario, numerous municipal treatment plants (WWTPs) participate in WW infectious disease targets such as SARS-CoV-2 qPCR and whole genome sequencing (WGS). Greater Toronto Airports Authority (GTAA), operator Pearson International Airport (Toronto Pearson), been participating since January 2022. As a major international airport Canada largest national hub, this is ideal location for globally emerging variants concern (VOCs). study, collected from Pearson’s two terminals pooled aircraft sewage was processed WGS using tiled-amplicon approach targeting virus genome. Data generated analyzed monitor trends lineage frequencies. Initial detections were compared between samples, samples surrounding regions, Ontario clinical data published Public Health Ontario. Results enabled early detection VOCs individual mutations On average, novel at preceded 1–4 weeks, up 16 weeks one case. This project illustrates efficacy transitory hubs sets example that could applied other viruses part preparedness strategy provide monitoring on mass scale.

Язык: Английский

Процитировано

0