ArticleEnvironmental research2022
Data modelling recipes for SARS-CoV-2 wastewater-based epidemiology.
Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Wastewater-Based Surveillance of SARS-CoV-2 for Early Warning of COVID-19 Infection Dynamics.Viruses · 2026Article
- Citywide indoor air sampling mirrors wastewater and clinical case surveillance of respiratory viruses.Nature communications · 2026Article
- Site-specific wastewater-based surveillance in early detection of COVID-19 new cases and prediction of mass testing outcomes in long-term care facilities.Scientific reports · 2026Article
- Exploring novel kinetics of automated HMicrobiology spectrum · 2026Article
- Applying weighted quantile sum regression to wastewater surveillance: enteric viral mixtures and diarrheal disease trends in Costa Rica.Journal of water and health · 2026Article
- Estimates of SARS-CoV-2 Infections and Population Immunity After the COVID-19 Pandemic in Austria: Analysis of National Wastewater Data.The Journal of infectious diseases · 2025Article
- Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives.Microorganisms · 2025Review
- Epidemiological model can forecast COVID-19 outbreaks from wastewater-based surveillance in rural communities.Water research · 2025Article
- Effective Inhibitor Removal from Wastewater Samples Increases Sensitivity of RT-dPCR and Sequencing Analyses and Enhances the Stability of Wastewater-Based Surveillance.Microorganisms · 2024Article
- Estimating rates of change to interpret quantitative wastewater surveillance of disease trends.The Science of the total environment · 2024Article
- Wastewater Surveillance to Confirm Differences in Influenza A Infection between Michigan, USA, and Ontario, Canada, September 2022-March 2023.Emerging infectious diseases · 2024Article
- Model parameter estimation with imprecise information.Water science and technology : a journal of the International Association on Water Pollution Research · 2024Article
- Estimating the COVID-19 prevalence from wastewater.Scientific reports · 2024Article
- Wastewater-Based Epidemiology for SARS-CoV-2 in Northern Italy: A Spatiotemporal Model.International journal of environmental research and public health · 2024Article
- Article
- Estimating actual SARS-CoV-2 infections from secondary data.Scientific reports · 2024Article
- Wastewater-based epidemiology: deriving a SARS-CoV-2 data validation method to assess data quality and to improve trend recognition.Frontiers in public health · 2024Article
- Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology.The Science of the total environment · 2023Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wastewater based epidemiology is recognized as one of the monitoring pillars, providing essential information for pandemic management. Central in the methodology are data modelling concepts for both communicating the monitoring results but also for analysis of the signal. It is due to the fast development of the field that a range of modelling concepts are used but without a coherent framework. This paper provides for such a framework, focusing on robust and simple concepts readily applicable, rather than applying latest findings from e.g., machine learning. It is demonstrated that data preprocessing, most important normalization by means of biomarkers and equal temporal spacing of the scattered data, is crucial. In terms of the latter, downsampling to a weekly spaced series is sufficient. Also, data smoothing turned out to be essential, not only for communication of the signal dynamics but likewise for regressions, nowcasting and forecasting. Correlation of the signal with epidemic indicators requires multivariate regression as the signal alone cannot explain the dynamics but - for this case study - multiple linear regression proofed to be a suitable tool when the focus is on understanding and interpretation. It was also demonstrated that short term prediction (7 days) is accurate with simple models (exponential smoothing or autoregressive models) but forecast accuracy deteriorates fast for longer periods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.