Wastewater-based estimation of the effective reproductive number of SARS-CoV-2
Jana S. Huisman,Jana S. Huisman,Jérémie Scire,Jérémie Scire,Lea Caduff,Xavier Fernandez-Cassi,Pravin Ganesanandamoorthy,Anina Kull,Andreas Scheidegger,Elyse Stachler,Alexandria B. Boehm,Bridgette Hughes,Alisha Knudson,Aaron Topol,Krista R. Wigginton,Marlene K. Wolfe,Tamar Kohn,Christoph Ort,Tanja Stadler,Tanja Stadler,Timothy R. Julian,Timothy R. Julian,Timothy R. Julian +22 more
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TLDR
In this article, the dynamics of SARS-CoV-2 RNA in wastewater were used to estimate Re in near real-time, independent of clinical data and without associated biases stemming from clinical testing and reporting strategies.Abstract:
The effective reproductive number, Re, is a critical indicator to monitor disease dynamics, inform regional and national policies, and estimate the effectiveness of interventions. It describes the average number of new infections caused by a single infectious person through time. To date, Re estimates are based on clinical data such as observed cases, hospitalizations, and/or deaths. Here we show that the dynamics of SARS-CoV-2 RNA in wastewater can be used to estimate Re in near real-time, independent of clinical data and without associated biases stemming from clinical testing and reporting strategies. The method to estimate Re from wastewater is robust and applicable to data from different countries and wastewater matrices. The resulting estimates are as similar to the Re estimates from case report data as Re estimates based on observed cases, hospitalizations, and deaths are among each other. We further provide details on the effect of sampling frequency and the shedding load distribution on the ability to infer Re. To our knowledge, this is the first time Re has been estimated from wastewater. This method provides a low cost, rapid, and independent way to inform SARS-CoV-2 monitoring during the ongoing pandemic and is applicable to future wastewater-based epidemiology targeting other pathogens. Significance statementThe effective reproductive number, Re, is widely used during the COVID-19 pandemic to track disease dynamics, inform regional and national policies, and estimate the effectiveness of interventions. Re is typically estimated from clinical case data, and can be biased by e.g. changes in testing and reporting. We show longitudinal measurements of SARS-CoV-2 RNA in wastewater can be used to estimate Re, across different regions, and provide an independent assessment of the dynamics of COVID-19. Given widespread wastewater sampling during this pandemic, these Re estimates are directly applicable as a rapid, low-cost method to inform public health policy. The method can be adapted to other pathogens, including those for which clinical data is not available.read more
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Detection of SARS-CoV-2 variants in Switzerland by genomic analysis of wastewater samples
Katharina Jahn,David Dreifuss,Ivan Topolsky,Anina Kull,Pravin Ganesanandamoorthy,Xavier Fernandez-Cassi,Carola Bänziger,Alexander J. devaux,Elyse Stachler,Lea Caduff,Federica Cariti,Alex Tunas Corzon,Lara Fuhrmann,Chaoran Chen,Kim Philipp Jablonski,Sarah Nadeau,Mirjam Feldkamp,Christian Beisel,Catharine Aquino,Tanja Stadler,Christoph Ort,Tamar Kohn,Timothy R. Julian,Timothy R. Julian,Timothy R. Julian,Niko Beerenwinkel +25 more
TL;DR: In this paper, the authors report a genomic analysis of SARS-CoV-2 in 48 raw wastewater samples collected from three wastewater treatment plants in Switzerland between July 9 and December 21, 2020.
Posted ContentDOI
Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom national COVID-19 surveillance programmes.
Matthew J. Wade,Bo Fritzbøger,Anna Lo Jacomo,Elena Armenise,Mathew R. Brown,Joshua T. Bunce,Graeme J Cameron,Zhou Fang,Kata Farkas,Deidre F Gilpin,David W. Graham,Jasmine M. S. Grimsley,Alwyn Hart,Till Hoffmann,Katherine J Jackson,David L. Jones,Chris J Lilley,John W. McGrath,Jennifer McKinley,Cormac McSparron,Behnam Firoozi Nejad,Mario Morvan,Marcos Quintela-Baluja,Adrian M I Roberts,Andrew C. Singer,Célia Souque,Vanessa Speight,Chris Sweetapple,David I. Walker,Glenn Watts,Andrew J. Weightman,Barbara Kasprzyk-Hordern +31 more
TL;DR: In this article, a discussion of measurement uncertainty associated with surveillance of wastewater, focusing on lessons-learned from the UK programmes monitoring COVID-19 is presented, showing that sources of uncertainty impacting measurement quality and interpretation of data for public health decision-making, are varied and complex.
Journal ArticleDOI
Understanding and managing uncertainty and variability for wastewater monitoring beyond the pandemic: Lessons learned from the United Kingdom national COVID-19 surveillance programmes
TL;DR: In this article , a discussion of measurement uncertainty associated with surveillance of wastewater, focusing on lessons-learned from the UK programmes monitoring COVID-19 is presented, showing that sources of uncertainty impacting measurement quality and interpretation of data for public health decision-making, are varied and complex.
Journal ArticleDOI
SARS-CoV-2 wastewater surveillance data can predict hospitalizations and ICU admissions.
Perez Zagorin,Aikaterini Galani,Reza Aalizadeh,Marios Kostakis,Athina Markou,Nikiforos Alygizakis,Theodore Lytras,Panagiotis G. Adamopoulos,Jordan Peccia,David C. Thompson,Aikaterini Kontou,Apostolos Karagiannidis,Evi Lianidou,Margaritis Avgeris,Dimitrios Paraskevis,Sotirios Tsiodras,Andreas Scorilas,Vasilis Vasiliou,Meletios-Athanasios Dimopoulos,Nikolaos S. Thomaidis +19 more
TL;DR: In this paper, the authors measured SARS-CoV-2 RNA load in raw wastewater in Attica, Greece, by RT-qPCR for the environmental surveillance of COVID-19 for 6 months.
Journal ArticleDOI
High-Frequency, High-Throughput Quantification of SARS-CoV-2 RNA in Wastewater Settled Solids at Eight Publicly Owned Treatment Works in Northern California Shows Strong Association with COVID-19 Incidence.
Marlene K. Wolfe,Aaron Topol,Alisha Knudson,Adrian Simpson,Bradley J. White,Duc J. Vugia,Alexander T. Yu,Linlin Li,Michael Balliet,Pamela Stoddard,George S Han,Krista R. Wigginton,Alexandria B. Boehm +12 more
TL;DR: In this article, SARS-CoV-2 RNA signals measured with the commercial laboratory partner were comparable across plants and comparable to measurements conducted in a university laboratory when normalized by pepper mild mottle virus (PMMoV) RNA.
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