ArticleInternational journal of environmental research and public health2021
Quest for Optimal Regression Models in SARS-CoV-2 Wastewater Based Epidemiology.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- A Systematic Review of Methodological Approaches to SARS-CoV-2 Wastewater Surveillance.Viruses · 2026Pooled it
- Current state and future perspectives on de facto population markers for normalization in wastewater-based epidemiology: A systematic literature review.The Science of the total environment · 2024Pooled it
- Recent progress on wastewater-based epidemiology for COVID-19 surveillance: A systematic review of analytical procedures and epidemiological modeling.The Science of the total environment · 2023Pooled it
- Applying weighted quantile sum regression to wastewater surveillance: enteric viral mixtures and diarrheal disease trends in Costa Rica.Journal of water and health · 2026Article
- Evaluation of wastewater percent positive for assessing epidemic trends - A case study of COVID-19 in Shangrao, China.Infectious Disease Modelling · 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
- Article
- Estimating actual SARS-CoV-2 infections from secondary data.Scientific reports · 2024Article
- Predictive potential of SARS-CoV-2 RNA concentration in wastewater to assess the dynamics of COVID-19 clinical outcomes and infections.The Science of the total environment · 2023Article
- Capturing the SARS-CoV-2 infection pyramid within the municipality of Rotterdam using longitudinal sewage surveillance.The Science of the total environment · 2023Article
- Prediction of hospitalisations based on wastewater-based SARS-CoV-2 epidemiology.The Science of the total environment · 2023Article
- Normalisation of SARS-CoV-2 concentrations in wastewater: The use of flow, electrical conductivity and crAssphage.The Science of the total environment · 2023Article
- An exploration of challenges associated with machine learning for time series forecasting of COVID-19 community spread using wastewater-based epidemiological data.The Science of the total environment · 2023Article
- Regional and temporal differences in the relation between SARS-CoV-2 biomarkers in wastewater and estimated infection prevalence - Insights from long-term surveillance.The Science of the total environment · 2023Article
- Citywide wastewater SARS-CoV-2 levels strongly correlated with multiple disease surveillance indicators and outcomes over three COVID-19 waves.The Science of the total environment · 2023Article
- Data modelling recipes for SARS-CoV-2 wastewater-based epidemiology.Environmental research · 2022Article
- Assessing wastewater-based epidemiology for the prediction of SARS-CoV-2 incidence in Catalonia.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wastewater-based epidemiology is a recognised source of information for pandemic management. In this study, we investigated the correlation between a SARS-CoV-2 signal derived from wastewater sampling and COVID-19 incidence values monitored by means of individual testing programs. The dataset used in the study is composed of timelines (duration approx. five months) of both signals at four wastewater treatment plants across Austria, two of which drain large communities and the other two drain smaller communities. Eight regression models were investigated to predict the viral incidence under varying data inputs and pre-processing methods. It was found that population-based normalisation and smoothing as a pre-processing of the viral load data significantly influence the fitness of the regression models. Moreover, the time latency lag between the wastewater data and the incidence derived from the testing program was found to vary between 2 and 7 days depending on the time period and site. It was found to be necessary to take such a time lag into account by means of multivariate modelling to boost the performance of the regression. Comparing the models, no outstanding one could be identified as all investigated models are revealing a sufficient correlation for the task. The pre-processing of data and a multivariate model formulation is more important than the model structure.
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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.