Weekly aggregates of near-source wastewater pathogen detections and concordance with national surveillance data.

<p>(a) to (e) Time series presented as the Monday-to-Friday average RNA concentrations (filled shapes with solid lines), detection frequency (open shapes with dashed lines), and COVID-19 case numbers (solid grey line, no shapes). (f) The influence of catchment size and viral prevalence on conc...

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Bibliographic Details
Main Author:	Jay C. Bullen (10232606) (author)
Other Authors:	Mina Mohaghegh (21029449) (author), Fatima Tahir (12046300) (author), Charlotte Hammer (21029452) (author), Jacob Sims (21029455) (author), Frederico Myers (21029458) (author), Lucas Eisinger (21029461) (author), Ali Reza Kasmati (7597064) (author), Claire F. Trant (21029464) (author)
Published:	2025
Subjects:	Medicine Pharmacology Biotechnology Evolutionary Biology Ecology Cancer Infectious Diseases Virology Computational Biology Environmental Sciences not elsewhere classified strong weekday periodicity received less attention provided early warnings faecal shedding onset source wastewater surveillance source wastewater data scale wastewater surveillance conducted wastewater surveillance tracking infectious diseases changing populations ); wastewater detections decreased source wastewater detections uk </ p div >< p 5 variant peak source wastewater sars rsv b ). order norovirus gii influenza b virus 2 </ sup 2 ≈ influenza wastewater tracking 2 detections wastewater sars ≈ rsv norovirus gii 9066 ). 86 ); influenza virus 2 detection viral prevalence term patterns targeted delivery staff sickness rapidly expanding norovirus gi local policies local interventions local events linear relationship know little key findings identified biases examples include enhanced cleaning diagnostic testing despite applications contrasting functions clinical diagnosis charity centre catchment size care home broader array 45 increases 19 hospitalisations
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Summary:	<p>(a) to (e) Time series presented as the Monday-to-Friday average RNA concentrations (filled shapes with solid lines), detection frequency (open shapes with dashed lines), and COVID-19 case numbers (solid grey line, no shapes). (f) The influence of catchment size and viral prevalence on concordance rates between changes in weekly wastewater detection frequency and COVID-19 case numbers. The inset figure shows the goodness-of-fit (R<sup>2</sup>) calculated for correlations between the weekly wastewater detection frequency and COVID-19 cases. Correlation and concordance plots are provided in Supporting Information <a href="/article/info:doi/10.1371/journal.pgph.0004397#pgph.0004397.s001" target="_blank">S1 Text</a>.</p>

Weekly aggregates of near-source wastewater pathogen detections and concordance with national surveillance data.

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