دورية أكاديمية
Characterizing Spatial Information Loss for Wastewater Surveillance Using crAssphage: Effect of Decay, Temperature, and Population Mobility.
| العنوان: | Characterizing Spatial Information Loss for Wastewater Surveillance Using crAssphage: Effect of Decay, Temperature, and Population Mobility. |
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| المؤلفون: | Wiesner-Friedman C; Oak Ridge Institute for Science and Education, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Brinkman NE; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Wheaton E; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Nagarkar M; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Hart C; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Keely SP; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Varughese E; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Garland J; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States., Klaver P; LimnoTech, 501 Avis Drive, Ann Arbor, Michigan 48108, United States., Turner C; LimnoTech, 501 Avis Drive, Ann Arbor, Michigan 48108, United States., Barton J; Metropolitan Sewer District of Greater Cincinnati, 1081 Woodrow Street, Cincinnati, Ohio 45204, United States., Serre M; Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States., Jahne M; Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, Cincinnati, Ohio 45268, United States. |
| المصدر: | Environmental science & technology [Environ Sci Technol] 2023 Dec 12; Vol. 57 (49), pp. 20802-20812. Date of Electronic Publication: 2023 Nov 28. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Washington DC : American Chemical Society Original Publication: Easton, Pa. : American Chemical Society, c1967- |
| مواضيع طبية MeSH: | Wastewater* , Sewage*, Wastewater-Based Epidemiological Monitoring ; Temperature ; Ohio |
| مستخلص: | Populations contribute information about their health status to wastewater. Characterizing how that information degrades in transit to wastewater sampling locations (e.g., wastewater treatment plants and pumping stations) is critical to interpret wastewater responses. In this work, we statistically estimate the loss of information about fecal contributions to wastewater from spatially distributed populations at the census block group resolution. This was accomplished with a hydrologically and hydraulically influenced spatial statistical approach applied to crAssphage ( Carjivirus communis ) load measured from the influent of four wastewater treatment plants in Hamilton County, Ohio. We find that we would expect to observe a 90% loss of information about fecal contributions from a given census block group over a travel time of 10.3 h. This work demonstrates that a challenge to interpreting wastewater responses (e.g., during wastewater surveillance) is distinguishing between a distal but large cluster of contributions and a near but small contribution. This work demonstrates new modeling approaches to improve measurement interpretation depending on sewer network and wastewater characteristics (e.g., geospatial layout, temperature variability, population distribution, and mobility). This modeling can be integrated into standard wastewater surveillance methods and help to optimize sewer sampling locations to ensure that different populations (e.g., vulnerable and susceptible) are appropriately represented. |
| فهرسة مساهمة: | Keywords: SWMM; crAssphage; decay; microbial FIT framework; microbial source tracking; wastewater-based surveillance |
| المشرفين على المادة: | 0 (Wastewater) 0 (Sewage) |
| تواريخ الأحداث: | Date Created: 20231128 Date Completed: 20231216 Latest Revision: 20231216 |
| رمز التحديث: | 20231217 |
| DOI: | 10.1021/acs.est.3c05587 |
| PMID: | 38015885 |
| قاعدة البيانات: | MEDLINE |
Find this issue from the American Chemical Society | تدمد: | 1520-5851 |
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| DOI: | 10.1021/acs.est.3c05587 |