Academic Journal
Dynamic population normalisation in wastewater-based epidemiology for improved understanding of the SARS-CoV-2 prevalence: a multi-site study
| العنوان: | Dynamic population normalisation in wastewater-based epidemiology for improved understanding of the SARS-CoV-2 prevalence: a multi-site study |
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| المؤلفون: | Chris Sweetapple, Matthew J. Wade, Peter Melville-Shreeve, Albert S. Chen, Chris Lilley, Jessica Irving, Jasmine M.S. Grimsley, Joshua T. Bunce |
| المصدر: | Journal of Water and Health, Vol 21, Iss 5, Pp 625-642 (2023) |
| بيانات النشر: | IWA Publishing |
| سنة النشر: | 2023 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | covid-19, normalisation, sars-cov-2, wastewater-based epidemiology, Public aspects of medicine, RA1-1270 |
| الوصف: | Wastewater-based epidemiology (WBE) is a valuable tool for monitoring the circulation of COVID-19. However, while variations in population size are recognised as major sources of uncertainty, wastewater SARS-CoV-2 measurements are not routinely population-normalised. This paper aims to determine whether dynamic population normalisation significantly alters SARS-CoV-2 dynamics observed through wastewater monitoring, and whether it is beneficial or necessary to provide an understanding of COVID-19 epidemiology. Data from 394 sites in England are used, and normalisation is implemented based on ammoniacal nitrogen and orthophosphate concentrations. Raw and normalised wastewater SARS-CoV-2 metrics are evaluated at the site and spatially aggregated levels are compared against indicators of prevalence based on the Coronavirus Infection Survey and Test and Trace polymerase chain reaction test results. Normalisation is shown, on average, to have a limited impact on overall temporal trends. However, significant variability in the degree to which it affects local-level trends is observed. This is not evident from previous WBE studies focused on single sites and, critically, demonstrates that while the impact of normalisation on SARS-CoV-2 trends is small on average, this may not always be the case. When averaged across many sites, normalisation strengthens the correlation between wastewater SARS-CoV-2 data and prevalence indicators; however, confidence in the improvement is low. HIGHLIGHTS 394 sites were analysed to determine the impact of population normalisation on SARS-CoV-2 trends.; Comparison made with the Coronavirus Infection Survey and NHS Test and Trace polymerase chain reaction test results.; Significant variability between sites in the impact of normalisation was revealed.; On average, population normalisation strengthens the correlation between wastewater SARS-CoV-2 data and prevalence indicators. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1477-8920 1996-7829 |
| Relation: | http://jwh.iwaponline.com/content/21/5/625; https://doaj.org/toc/1477-8920; https://doaj.org/toc/1996-7829; https://doaj.org/article/48a625d9a49640c0ba913eebf7ce0d8f |
| DOI: | 10.2166/wh.2023.318 |
| الاتاحة: | https://doi.org/10.2166/wh.2023.318 https://doaj.org/article/48a625d9a49640c0ba913eebf7ce0d8f |
| رقم الانضمام: | edsbas.EF995D87 |
| قاعدة البيانات: | BASE |
| تدمد: | 14778920 19967829 |
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| DOI: | 10.2166/wh.2023.318 |