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Characterizing Spatial Information Loss for Wastewater Surveillance Using crAssphage: Effect of Decay, Temperature,
Corinne Wiesner-Friedman1, Nichole E Brinkman2, Emily Wheaton2
1Oak Ridge Institute for Science and Education, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States.
Environmental Science & Technology
|November 28, 2023
Summary
Wastewater surveillance data loses 90% of information on fecal contributions within 10.3 hours of travel time. This study models information loss to improve wastewater-based epidemiology accuracy.
Area of Science:
- Environmental science
- Public health
- Epidemiology
Background:
- Wastewater contains health information from populations.
- Understanding information degradation during transit is crucial for accurate wastewater surveillance.
- Spatially distributed fecal contributions impact wastewater signal interpretation.
Purpose of the Study:
- To statistically estimate information loss from fecal contributions in wastewater.
- To develop a spatial statistical approach for analyzing information degradation.
- To improve the interpretation of wastewater surveillance data.
Main Methods:
- Applied a hydrologically and hydraulically influenced spatial statistical approach.
- Analyzed crAssphage (Carjivirus communis) load in wastewater influent.
- Utilized census block group resolution for spatial analysis in Hamilton County, Ohio.
Main Results:
- A 90% loss of information from fecal contributions is expected over a 10.3-hour travel time.
- Distinguishing between distal large and near small fecal contributions is challenging.
- Sewer network and wastewater characteristics significantly influence information degradation.
Conclusions:
- Information loss in wastewater transit poses a challenge for accurate surveillance.
- New modeling approaches can enhance the interpretation of wastewater data.
- Optimizing sewer sampling locations can improve population representation in wastewater surveillance.
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