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Abstract

Background

Surveillance of SARS-CoV-2 in wastewater offers a near real-time tool to track circulation of SARS-CoV-2 at a local scale. However, individual measurements of SARS-CoV-2 in sewage are noisy, inherently variable and can be left-censored.

Aim

We aimed to infer latent virus loads in a comprehensive sewage surveillance programme that includes all sewage treatment plants (STPs) in the Netherlands and covers 99.6% of the Dutch population.

Methods

We applied a multilevel Bayesian penalised spline model to estimate time- and STP-specific virus loads based on water flow-adjusted SARS-CoV-2 qRT-PCR data for one to four sewage samples per week for each of the more than 300 STPs.

Results

The model captured the epidemic upsurges and downturns in the Netherlands, despite substantial day-to-day variation in the measurements. Estimated STP virus loads varied by more than two orders of magnitude, from ca 1012 virus particles per 100,000 persons per day in the epidemic trough in August 2020 to almost 1015 per 100,000 in many STPs in January 2022. The timing of epidemics at the local level was slightly shifted between STPs and municipalities, which resulted in less pronounced peaks and troughs at the national level.

Conclusion

Although substantial day-to-day variation is observed in virus load measurements, wastewater-based surveillance of SARS-CoV-2 that is performed at high sampling frequency can track long-term progression of an epidemic at a local scale in near real time.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
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/content/10.2807/1560-7917.ES.2023.28.25.2200700
2023-06-22
2024-11-21
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2023.28.25.2200700
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References

  1. McDonald SA, Miura F, Vos ERA, van Boven M, de Melker HE, van der Klis FRM, et al. Estimating the asymptomatic proportion of SARS-CoV-2 infection in the general population: Analysis of nationwide serosurvey data in the Netherlands. Eur J Epidemiol. 2021;36(7):735-9.  https://doi.org/10.1007/s10654-021-00768-y  PMID: 34114187 
  2. Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW, et al. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area. JAMA. 2020;323(20):2052-9.  https://doi.org/10.1001/jama.2020.6775  PMID: 32320003 
  3. Patone M, Thomas K, Hatch R, Tan PS, Coupland C, Liao W, et al. Mortality and critical care unit admission associated with the SARS-CoV-2 lineage B.1.1.7 in England: an observational cohort study. Lancet Infect Dis. 2021;21(11):1518-28.  https://doi.org/10.1016/S1473-3099(21)00318-2  PMID: 34171232 
  4. Ravindra K, Malik VS, Padhi BK, Goel S, Gupta M. Asymptomatic infection and transmission of COVID-19 among clusters: systematic review and meta-analysis. Public Health. 2022;203:100-9.  https://doi.org/10.1016/j.puhe.2021.12.003  PMID: 35038628 
  5. Vos ERA, van Boven M, den Hartog G, Backer JA, Klinkenberg D, van Hagen CCE, et al. Associations Between measures of social distancing and severe acute respiratory syndrome coronavirus 2 seropositivity: a nationwide population-based study in the Netherlands. Clin Infect Dis. 2021;73(12):2318-21.  https://doi.org/10.1093/cid/ciab264  PMID: 33772265 
  6. McCall C, Wu H, Miyani B, Xagoraraki I. Identification of multiple potential viral diseases in a large urban center using wastewater surveillance. Water Res. 2020;184:116160.  https://doi.org/10.1016/j.watres.2020.116160  PMID: 32738707 
  7. Lodder W, de Roda Husman AM. SARS-CoV-2 in wastewater: potential health risk, but also data source. Lancet Gastroenterol Hepatol. 2020;5(6):533-4.  https://doi.org/10.1016/S2468-1253(20)30087-X  PMID: 32246939 
  8. Bonanno Ferraro G, Veneri C, Mancini P, Iaconelli M, Suffredini E, Bonadonna L, et al. A state-of-the-art scoping review on SARS-CoV-2 in sewage focusing on the potential of wastewater surveillance for the monitoring of the COVID-19 pandemic. Food Environ Virol. 2021. PMID: 34727334 
  9. Lu X, Wang L, Sakthivel SK, Whitaker B, Murray J, Kamili S, et al. US CDC real-time reverse transcription PCR panel for detection of severe acute respiratory syndrome coronavirus 2. Emerg Infect Dis. 2020;26(8):1654-65.  https://doi.org/10.3201/eid2608.201246  PMID: 32396505 
  10. Di Serio C, Lamina C. Investigating determinants of multiple sclerosis in longitunal studies: a Bayesian approach. J Probab Stat. 2009;2009:198320.  https://doi.org/10.1155/2009/198320 
  11. Lang S, Brezger A. Bayesian P-Splines. J Comput Graph Stat. 2004;13(1):183-212.  https://doi.org/10.1198/1061860043010 
  12. Vehtari A, Gelman A, Gabry J. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat Comput. 2017;27(5):1413-32.  https://doi.org/10.1007/s11222-016-9696-4 
  13. Statistics Netherlands. Inwoners per rioolwaterzuiveringsinstallatie, 1-1-2020. [Inhabitants by sewage treatment plant, 1 January 2020]. The Hague: Statistics Netherlands; 2021. Dutch. Available from: https://www.cbs.nl/nl-nl/maatwerk/2021/01/inwoners-per-rioolwaterzuiveringsinstallatie-1-1-2020
  14. Carpenter B, Gelman A, Hoffman MD, Lee D, Goodrich B, Betancourt M, et al. Stan: A Probabilistic Programming Language. J Stat Softw. 2017;76(1):1-32.  https://doi.org/10.18637/jss.v076.i01  PMID: 36568334 
  15. Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J, Bruce H, et al. First case of 2019 novel coronavirus in the United States. N Engl J Med. 2020;382(10):929-36.  https://doi.org/10.1056/NEJMoa2001191  PMID: 32004427 
  16. Sims N, Kasprzyk-Hordern B. Future perspectives of wastewater-based epidemiology: Monitoring infectious disease spread and resistance to the community level. Environ Int. 2020;139:105689.  https://doi.org/10.1016/j.envint.2020.105689  PMID: 32283358 
  17. Robinson CA, Hsieh HY, Hsu SY, Wang Y, Salcedo BT, Belenchia A, et al. Defining biological and biophysical properties of SARS-CoV-2 genetic material in wastewater. Sci Total Environ. 2022;807(Pt 1):150786.  https://doi.org/10.1016/j.scitotenv.2021.150786  PMID: 34619200 
  18. Hokajärvi AM, Rytkönen A, Tiwari A, Kauppinen A, Oikarinen S, Lehto KM, et al. The detection and stability of the SARS-CoV-2 RNA biomarkers in wastewater influent in Helsinki, Finland. Sci Total Environ. 2021;770:145274.  https://doi.org/10.1016/j.scitotenv.2021.145274  PMID: 33513496 
  19. Bertels X, Demeyer P, Van den Bogaert S, Boogaerts T, van Nuijs ALN, Delputte P, et al. Factors influencing SARS-CoV-2 RNA concentrations in wastewater up to the sampling stage: A systematic review. Sci Total Environ. 2022;820:153290.  https://doi.org/10.1016/j.scitotenv.2022.153290  PMID: 35066048 
  20. Courbariaux M, Cluzel N, Wang S, Maréchal V, Moulin L, Wurtzer S, et al. A flexible smoother adapted to censored data with outliers and its application to SARS-CoV-2 monitoring in wastewater. Front Appl Math Stat. 2022;8:8.  https://doi.org/10.3389/fams.2022.836349 
  21. Rubio-Acero R, Beyerl J, Muenchhoff M, Roth MS, Castelletti N, Paunovic I, et al. Spatially resolved qualified sewage spot sampling to track SARS-CoV-2 dynamics in Munich - One year of experience. Sci Total Environ. 2021;797:149031.  https://doi.org/10.1016/j.scitotenv.2021.149031  PMID: 34346361 
  22. Coyer L, Boyd A, Schinkel J, Agyemang C, Galenkamp H, Koopman ADM, et al. Differences in SARS-CoV-2 infections during the first and second wave of SARS-CoV-2 between six ethnic groups in Amsterdam, the Netherlands: A population-based longitudinal serological study. Lancet Reg Health Eur. 2022;13:100284.  https://doi.org/10.1016/j.lanepe.2021.100284  PMID: 34927120 
  23. Ahmed F, Islam MA, Kumar M, Hossain M, Bhattacharya P, Islam MT, et al. First detection of SARS-CoV-2 genetic material in the vicinity of COVID-19 isolation Centre in Bangladesh: Variation along the sewer network. Sci Total Environ. 2021;776:145724.  https://doi.org/10.1016/j.scitotenv.2021.145724  PMID: 33652314 
  24. Nourbakhsh S, Fazil A, Li M, Mangat CS, Peterson SW, Daigle J, et al. A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities. Epidemics. 2022;39:100560.  https://doi.org/10.1016/j.epidem.2022.100560  PMID: 35462206 
  25. Huisman JS, Scire J, Caduff L, Fernandez-Cassi X, Ganesanandamoorthy P, Kull A, et al. Wastewater-based estimation of the effective reproductive number of SARS-CoV-2. Environ Health Perspect. 2022;130(5):57011.  https://doi.org/10.1289/EHP10050  PMID: 35617001 
  26. Hegazy N, Cowan A, D’Aoust PM, Mercier É, Towhid ST, Jia J-J, et al. Understanding the dynamic relation between wastewater SARS-CoV-2 signal and clinical metrics throughout the pandemic. medRxiv. 2022:2022.07.06.22277318.
  27. Daza-Torres ML, Montesinos-López JC, Kim M, Olson R, Bess CW, Rueda L, et al. Model training periods impact estimation of COVID-19 incidence from wastewater viral loads. Sci Total Environ. 2023;858(Pt 1):159680.  https://doi.org/10.1016/j.scitotenv.2022.159680  PMID: 36306854 
  28. Wolfe MK, Duong D, Bakker KM, Ammerman M, Mortenson L, Hughes B, et al. Wastewater-based detection of two influenza outbreaks. Environ Sci Technol Lett. 2022;9(8):687-92.  https://doi.org/10.1021/acs.estlett.2c00350 
  29. Kiulia NM, Gonzalez R, Thompson H, Aw TG, Rose JB. Quantification and trends of rotavirus and enterovirus in untreated sewage using reverse transcription droplet digital PCR. Food Environ Virol. 2021;13(2):154-69.  https://doi.org/10.1007/s12560-020-09455-9  PMID: 33591485 
  30. Blaak H, Kemper MA, de Man H, van Leuken JPG, Schijven JF, van Passel MWJ, et al. Nationwide surveillance reveals frequent detection of carbapenemase-producing Enterobacterales in Dutch municipal wastewater. Sci Total Environ. 2021;776:145925.  https://doi.org/10.1016/j.scitotenv.2021.145925 
  31. National Institute for Public Health and the Environment (RIVM). COVID-19 open data repository. Bilthoven: RIVM. [Accessed: 4 May 2022]. Availably from: https://data.rivm.nl/covid-19
Patterns of SARS-CoV-2 circulation revealed by a nationwide sewage surveillance programme, the Netherlands, August 2020 to February 2022
<p class="citation"> <span>Citation style for this article:</span> <span class="meta-value authors"> <a href="/search?value1=Michiel+van+Boven&option1=author&noRedirect=true" class="nonDisambigAuthorLink">van Boven Michiel</a>, <a href="/search?value1=Wouter+A+Hetebrij&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Hetebrij Wouter A</a>, <a href="/search?value1=Arno+Swart&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Swart Arno</a>, <a href="/search?value1=Erwin+Nagelkerke&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Nagelkerke Erwin</a>, <a href="/search?value1=Rudolf+FHJ+van+der+Beek&option1=author&noRedirect=true" class="nonDisambigAuthorLink">van der Beek Rudolf FHJ</a>, <a href="/search?value1=Sjors+Stouten&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Stouten Sjors</a>, <a href="/search?value1=Rudolf+T+Hoogeveen&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Hoogeveen Rudolf T</a>, <a href="/search?value1=Fuminari+Miura&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Miura Fuminari</a>, <a href="/search?value1=Astrid+Kloosterman&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Kloosterman Astrid</a>, <a href="/search?value1=Anne-Merel+R+van+der+Drift&option1=author&noRedirect=true" class="nonDisambigAuthorLink">van der Drift Anne-Merel R</a>, <a href="/search?value1=Anne+Welling&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Welling Anne</a>, <a href="/search?value1=Willemijn+J+Lodder&option1=author&noRedirect=true" class="nonDisambigAuthorLink">Lodder Willemijn J</a>, <a href="/search?value1=Ana+Maria+de+Roda+Husman&option1=author&noRedirect=true" class="nonDisambigAuthorLink">de Roda Husman Ana Maria</a></span>. Patterns of SARS-CoV-2 circulation revealed by a nationwide sewage surveillance programme, the Netherlands, August 2020 to February 2022 . <a href="/content/ecdc">Euro Surveill.</a> 2023;28(25):pii=2200700. <a href="https://doi.org/10.2807/1560-7917.ES.2023.28.25.2200700" title="doi link" target="_blank">https://doi.org/10.2807/1560-7917.ES.2023.28.25.2200700</a> <span class="ES_Article_citation"> <span class="generated">Received</span>: 26 Aug 2022;&nbsp;&nbsp; <span class="generated">Accepted</span>: 16 Mar 2023 </span> </p>
/content/10.2807/1560-7917.ES.2023.28.25.2200700
/content/10.2807/1560-7917.ES.2023.28.25.2200700
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