Sensitivity, throughput, and cost analysis of concentration methods for multi-target pathogen wastewater monitoring
Wu, J.; Wang, M. x.; Treangen, T. J.; Ensor, K. B.; Hopkins, L.; Stadler, L.
Show abstract
Wastewater-based epidemiology is an efficient method for monitoring the transmission of diverse pathogens in communities. Standard wastewater surveillance workflows typically involve wastewater concentration, nucleic acid extraction, and pathogen quantification. While various concentration methods are used, most comparisons of concentration methods have focused primarily on SARS-CoV-2, highlighting the need for further research to guide method selection for monitoring a suite of diverse pathogens. In this study, a head-to-head comparison of six different concentration methods was performed, including direct extraction (with and without bead beating), electronegative (HA) filtration, solids concentration, and magnetic bead-based concentration (using Nanotrap(R) particles; with and without bead beating). Methods were assessed for sensitivity, inhibitor removal, and recovery rates of fourteen microorganisms, including viruses, bacteria, and fungal pathogens. The cost of each method was also estimated. Results showed that the concentration method selection significantly impacts the sensitivity and economic costs of the wastewater monitoring workflow. Based on the results, a concentration approach that combines HA filtration and solids concentration is recommended to optimize detection across various pathogens. This study provides data-driven insights to enhance the reliability and cost-effectiveness of wastewater surveillance systems that can support public health responses for a broad range of diseases. SynopsisSix concentration methods were compared in terms of sensitivity and cost for the detection of 14 diverse pathogens in wastewater.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Within-Day Variability of SARS-CoV-2 RNA in Municipal Wastewater Influent During Periods of Varying COVID-19 Prevalence and Positivity 98%
- Tracking SARS-CoV-2 RNA through the wastewater treatment process 98%
- Persistence of endogenous SARS-CoV-2 and pepper mild mottle virus RNA in wastewater settled solids 98%
Similar papers in this journal
- Monitoring SARS-CoV-2 in wastewater during New York City’s second wave of COVID-19: Sewershed-level trends and relationships to publicly available clinical testing data 99%
- Prewhitening and Normalization Help Detect a Strong Cross-Correlation Between Daily Wastewater SARS-CoV-2 RNA Abundance and COVID-19 Cases in a Community 98%
- Development and optimization of a new method for direct extraction of SARS-CoV-2 RNA from municipal wastewater using magnetic beads 98%
Similar papers in this journal
- Automated method to extract and purify RNA from wastewater enables more sensitive detection of SARS-CoV-2 markers in community sewersheds 98%
- Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: a six-month long study in Charlotte, North Carolina 98%
- Performance evaluation of virus concentration methods for implementing SARS-CoV-2 wastewater based epidemiology emphasizing quick data turnaround 98%
Similar papers in this journal
- Benchmarking concentration and direct extraction methods for wastewater-based surveillance of eight human respiratory viruses: implications for rapid application to novel pathogens 99%
- Solid evidence and liquid gold: trade-offs of processing settled solids, whole influent, or centrifuged influent for co-detecting viral, bacterial, and eukaryotic pathogens in wastewater 98%
- Detection of Hemagglutinin H5 influenza A virus RNA and model of potential inputs in an urban California sewershed 97%
Similar papers in this journal
- Respiratory Syncytial Virus (RSV) RNA in wastewater settled solids reflects RSV clinical positivity rates 98%
- Wastewater-based detection of an influenza outbreak 98%
- Detection of hemagglutinin H5 influenza A virus sequence in municipal wastewater solids at wastewater treatment plants with increases in influenza A in spring, 2024 98%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.