Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Implementation of SARS-CoV-2 Wastewater Surveillance Systems in Germany-Pilot Study in the Federal State of Thuringia.

Microorganisms·2026
Same author

Stage-Specific Microbiota Transitions Throughout Black Soldier Fly Ontogeny.

Microbial ecology·2026
Same author

Number of Austrian SARS-CoV-2 infections in the 2024/2025 season: Analysis of national wastewater data.

Public health·2025
Same author

A global database of soil microbial phospholipid fatty acids and enzyme activities.

Scientific data·2025
Same author

Critical review on end-of-pipe technologies for nitrous oxide removal as part of a novel comprehensive concept for greenhouse gas emission mitigation at wastewater treatment plants.

Water science and technology : a journal of the International Association on Water Pollution Research·2025
Same author

Monitoring SARS-CoV-2 Dissemination in Wastewater and Virus Isolation in Cell Cultures: An Integrated Approach for Pathogen Detection and Surveillance.

Journal of cellular and molecular medicine·2025

Related Experiment Video

Updated: Oct 19, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.3K

Data filtering methods for SARS-CoV-2 wastewater surveillance.

Rezgar Arabzadeh1, Daniel Martin Grünbacher1, Heribert Insam2

  • 1Unit of Environmental Engineering, Department of Infrastructure, University of Innsbruck, Technikerstrasse 13, 6020 Innsbruck, Austria.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|September 24, 2021
PubMed
Summary

Data filtering techniques improve SARS-CoV-2 wastewater surveillance by reducing signal noise. Smoothing algorithms like SPLINE enhance the correlation between viral signals and incidence data for better pandemic management.

More Related Videos

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration
10:53

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

1.9K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.4K

Related Experiment Videos

Last Updated: Oct 19, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.3K
Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration
10:53

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

1.9K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.4K

Area of Science:

  • Environmental microbiology
  • Epidemiology
  • Data science

Background:

  • Wastewater-based epidemiology (WBE) is crucial for SARS-CoV-2 pandemic management.
  • Viral signals in wastewater exhibit random fluctuations, potentially leading to inaccurate prevalence analysis.
  • Data filtering is essential to mitigate noise and improve the reliability of WBE.

Purpose of the Study:

  • To investigate the effectiveness of various smoothing algorithms for filtering SARS-CoV-2 signals in wastewater.
  • To identify optimal algorithms for reducing noise in WBE data.
  • To assess the impact of filtering on the correlation between wastewater viral signals and incidence data.

Main Methods:

  • Application and comparison of 13 different smoothing algorithms to SARS-CoV-2 wastewater data from four Austrian treatment plants.
  • Optimization of algorithm parameters based on performance metrics.
  • Cluster analysis to evaluate the results of the smoothing algorithms.
  • Correlation analysis between filtered viral signals and monitored incidence values.

Main Results:

  • All investigated smoothing algorithms are applicable to SARS-CoV-2 wastewater signals.
  • SPLINE, Generalized Additive Model, and Friedman's Super Smoother demonstrated superior performance.
  • Generalized Additive Model and Friedman's Super Smoother showed a tendency towards over-smoothing.
  • Data filtering significantly improved the correlation between the viral signal and incidence data.

Conclusions:

  • Smoothing algorithms effectively reduce noise in SARS-CoV-2 wastewater surveillance data.
  • Specific algorithms like SPLINE offer robust performance for WBE.
  • Filtered WBE data provide a more reliable basis for tracking infection dynamics and informing public health strategies.