IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i18p11245-d909022.html
   My bibliography  Save this article

Quantifying the Relationship between SARS-CoV-2 Wastewater Concentrations and Building-Level COVID-19 Prevalence at an Isolation Residence: A Passive Sampling Approach

Author

Listed:
  • Patrick T. Acer

    (Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA)

  • Lauren M. Kelly

    (Department of Environmental and Water Resources Engineering, University of Massachusetts Amherst, Engineering Lab II, 101 N Service Rd, Amherst, MA 01003, USA)

  • Andrew A. Lover

    (Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA)

  • Caitlyn S. Butler

    (Department of Environmental and Water Resources Engineering, University of Massachusetts Amherst, Engineering Lab II, 101 N Service Rd, Amherst, MA 01003, USA)

Abstract

SARS-CoV-2 RNA loads can be detected in the excreta of individuals with COVID-19 and have demonstrated positive correlations with clinical infection trends. Consequently, wastewater-based epidemiology (WBE) approaches have been implemented globally as a public health surveillance tool to monitor community-level prevalence of infections. The majority of wastewater specimens are gathered as either composite samples via automatic samplers (autosamplers) or grab samples. However, autosamplers are expensive and can be challenging to maintain in cold weather, while grab samples are particularly susceptible to temporal variation when sampling sewage directly from complex matrices outside residential buildings. Passive sampling can provide an affordable, practical, and scalable sampling system while maintaining a reproducible SARS-CoV-2 signal. In this regard, we deployed tampons as passive samplers outside of a COVID-19 isolation unit (a segregated residence hall) at a university campus from 1 February 2021–21 May 2021. Samples (n = 64) were collected 3–5 times weekly and remained within the sewer for a median duration of 24 h. SARS-CoV-2 RNA was quantified using reverse-transcription quantitative polymerase chain reaction (RT-qPCR) targeting the N1 and N2 gene fragments. We quantified the mean viral load captured per individual and the association between the daily viral load and total persons, adjusting for covariates using multivariable models to provide a baseline estimate of viral shedding. Samples were processed through two distinct laboratory pipelines on campus, yielding highly correlated N2 concentrations. Data obtained here highlight the success of passive sampling utilizing tampons to capture SARS-CoV-2 in wastewater coming from a COVID-19 isolation residence, indicating that this method can help inform building-level public health responses.

Suggested Citation

  • Patrick T. Acer & Lauren M. Kelly & Andrew A. Lover & Caitlyn S. Butler, 2022. "Quantifying the Relationship between SARS-CoV-2 Wastewater Concentrations and Building-Level COVID-19 Prevalence at an Isolation Residence: A Passive Sampling Approach," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11245-:d:909022
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/18/11245/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/18/11245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roman Wölfel & Victor M. Corman & Wolfgang Guggemos & Michael Seilmaier & Sabine Zange & Marcel A. Müller & Daniela Niemeyer & Terry C. Jones & Patrick Vollmar & Camilla Rothe & Michael Hoelscher & To, 2020. "Author Correction: Virological assessment of hospitalized patients with COVID-2019," Nature, Nature, vol. 588(7839), pages 35-35, December.
    2. Roman Wölfel & Victor M. Corman & Wolfgang Guggemos & Michael Seilmaier & Sabine Zange & Marcel A. Müller & Daniela Niemeyer & Terry C. Jones & Patrick Vollmar & Camilla Rothe & Michael Hoelscher & To, 2020. "Virological assessment of hospitalized patients with COVID-2019," Nature, Nature, vol. 581(7809), pages 465-469, May.
    3. Daniel McFadden, 1977. "Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments," Cowles Foundation Discussion Papers 474, Cowles Foundation for Research in Economics, Yale University.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shanlin Ke & Scott T. Weiss & Yang-Yu Liu, 2022. "Dissecting the role of the human microbiome in COVID-19 via metagenome-assembled genomes," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Tobias Schlager & Ashley V. Whillans, 2022. "People underestimate the probability of contracting the coronavirus from friends," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    3. Joseph Pateras & Preetam Ghosh, 2022. "A Computational Framework for Exploring SARS-CoV-2 Pharmacodynamic Dose and Timing Regimes," Mathematics, MDPI, vol. 10(20), pages 1-12, October.
    4. Marta Baselga & Juan J. Alba & Alberto J. Schuhmacher, 2022. "The Control of Metabolic CO 2 in Public Transport as a Strategy to Reduce the Transmission of Respiratory Infectious Diseases," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    5. Lisa Cariani & Beatrice Silvia Orena & Federico Ambrogi & Simone Gambazza & Anna Maraschini & Antonella Dodaro & Massimo Oggioni & Annarosa Orlandi & Alessia Pirrone & Sara Uceda Renteria & Mara Berna, 2020. "Time Length of Negativization and Cycle Threshold Values in 182 Healthcare Workers with Covid-19 in Milan, Italy: An Observational Cohort Study," IJERPH, MDPI, vol. 17(15), pages 1-10, July.
    6. Dapeng Li & David R. Martinez & Alexandra Schäfer & Haiyan Chen & Maggie Barr & Laura L. Sutherland & Esther Lee & Robert Parks & Dieter Mielke & Whitney Edwards & Amanda Newman & Kevin W. Bock & Mahn, 2022. "Breadth of SARS-CoV-2 neutralization and protection induced by a nanoparticle vaccine," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    7. Lorenz Schubert & Robert Strassl & Heinz Burgmann & Gabriella Dvorak & Matthias Karer & Michael Kundi & Manuel Kussmann & Heimo Lagler & Felix Lötsch & Christopher Milacek & Markus Obermueller & Zoe O, 2021. "A Longitudinal Seroprevalence Study Evaluating Infection Control and Prevention Strategies at a Large Tertiary Care Center with Low COVID-19 Incidence," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    8. Susanna Esposito & Federico Marchetti & Marcello Lanari & Fabio Caramelli & Alessandro De Fanti & Gianluca Vergine & Lorenzo Iughetti & Martina Fornaro & Agnese Suppiej & Stefano Zona & Andrea Pession, 2021. "COVID-19 Management in the Pediatric Age: Consensus Document of the COVID-19 Working Group in Paediatrics of the Emilia-Romagna Region (RE-CO-Ped), Italy," IJERPH, MDPI, vol. 18(8), pages 1-29, April.
    9. Ramon Roozendaal & Laura Solforosi & Daniel J. Stieh & Jan Serroyen & Roel Straetemans & Anna Dari & Muriel Boulton & Frank Wegmann & Sietske K. Rosendahl Huber & Joan E. M. van der Lubbe & Jenny Hend, 2021. "SARS-CoV-2 binding and neutralizing antibody levels after Ad26.COV2.S vaccination predict durable protection in rhesus macaques," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    10. Shengwei Zhu & Tong Lin & John D. Spengler & Jose Guillermo Cedeño Laurent & Jelena Srebric, 2022. "The Influence of Plastic Barriers on Aerosol Infection Risk during Airport Security Checks," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    11. Sasha Harris-Lovett & Kara L. Nelson & Paloma Beamer & Heather N. Bischel & Aaron Bivins & Andrea Bruder & Caitlyn Butler & Todd D. Camenisch & Susan K. De Long & Smruthi Karthikeyan & David A. Larsen, 2021. "Wastewater Surveillance for SARS-CoV-2 on College Campuses: Initial Efforts, Lessons Learned, and Research Needs," IJERPH, MDPI, vol. 18(9), pages 1-20, April.
    12. Juan Liu & Fengfeng Mao & Jianhe Chen & Shuaiyao Lu & Yonghe Qi & Yinyan Sun & Linqiang Fang & Man Lung Yeung & Chunmei Liu & Guimei Yu & Guangyu Li & Ximing Liu & Yuansheng Yao & Panpan Huang & Dongx, 2023. "An IgM-like inhalable ACE2 fusion protein broadly neutralizes SARS-CoV-2 variants," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    13. Maria de Lourdes Aguiar-Oliveira & Aline Campos & Aline R. Matos & Caroline Rigotto & Adriana Sotero-Martins & Paulo F. P. Teixeira & Marilda M. Siqueira, 2020. "Wastewater-Based Epidemiology (WBE) and Viral Detection in Polluted Surface Water: A Valuable Tool for COVID-19 Surveillance—A Brief Review," IJERPH, MDPI, vol. 17(24), pages 1-19, December.
    14. Kumawat, Nitesh & Rashid, Mubasher & Srivastava, Akriti & Tripathi, Jai Prakash, 2023. "Hysteresis and Hopf bifurcation: Deciphering the dynamics of an in-host model of SARS-CoV-2 with logistic target cell growth and sigmoidal immune response," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
    15. Nagel, Kai & Rakow, Christian & Müller, Sebastian A., 2021. "Realistic agent-based simulation of infection dynamics and percolation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    16. Rabih Ghostine & Mohamad Gharamti & Sally Hassrouny & Ibrahim Hoteit, 2021. "Mathematical Modeling of Immune Responses against SARS-CoV-2 Using an Ensemble Kalman Filter," Mathematics, MDPI, vol. 9(19), pages 1-13, September.
    17. Afnan Al Agha & Safiya Alshehaiween & Ahmed Elaiw & Matuka Alshaikh, 2021. "A Global Analysis of Delayed SARS-CoV-2/Cancer Model with Immune Response," Mathematics, MDPI, vol. 9(11), pages 1-27, June.
    18. Simin Zou & Xuhui He, 2021. "Effect of Train-Induced Wind on the Transmission of COVID-19: A New Insight into Potential Infectious Risks," IJERPH, MDPI, vol. 18(15), pages 1-17, August.
    19. Ioana Boeraș & Angela Curtean-Bănăduc & Doru Bănăduc & Gabriela Cioca, 2022. "Anthropogenic Sewage Water Circuit as Vector for SARS-CoV-2 Viral ARN Transport and Public Health Assessment, Monitoring and Forecasting—Sibiu Metropolitan Area (Transylvania/Romania) Study Case," IJERPH, MDPI, vol. 19(18), pages 1-12, September.
    20. Sebastian Weigang & Jonas Fuchs & Gert Zimmer & Daniel Schnepf & Lisa Kern & Julius Beer & Hendrik Luxenburger & Jakob Ankerhold & Valeria Falcone & Janine Kemming & Maike Hofmann & Robert Thimme & Ch, 2021. "Within-host evolution of SARS-CoV-2 in an immunosuppressed COVID-19 patient as a source of immune escape variants," Nature Communications, Nature, vol. 12(1), pages 1-12, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11245-:d:909022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.