AnnaElaine L. Rosengart, Amanda L. Bidwell, Marlene K. Wolfe, Alexandria B. Boehm, F. William Townes
{"title":"Spatio-Temporal Variability of the Pepper Mild Mottle Virus Biomarker in Wastewater","authors":"AnnaElaine L. Rosengart, Amanda L. Bidwell, Marlene K. Wolfe, Alexandria B. Boehm, F. William Townes","doi":"arxiv-2408.12012","DOIUrl":null,"url":null,"abstract":"Since the start of the coronavirus-19 pandemic, the use of wastewater-based\nepidemiology (WBE) for disease surveillance has increased throughout the world.\nBecause wastewater measurements are affected by external factors, processing\nWBE data typically includes a normalization step in order to adjust wastewater\nmeasurements (e.g. viral RNA concentrations) to account for variation due to\ndynamic population changes, sewer travel effects, or laboratory methods. Pepper\nmild mottle virus (PMMoV), a plant RNA virus abundant in human feces and\nwastewater, has been used as a fecal contamination indicator and has been used\nto normalize wastewater measurements extensively. However, there has been\nlittle work to characterize the spatio-temporal variability of PMMoV in\nwastewater, which may influence the effectiveness of PMMoV for adjusting or\nnormalizing WBE measurements. Here, we investigate its variability across space\nand time using data collected over a two-year period from sewage treatment\nplants across the United States. We find that most variation in PMMoV\nmeasurements can be attributed to longitude and latitude followed by\nsite-specific variables. Further research into cross-geographical and -temporal\ncomparability of PMMoV-normalized pathogen concentrations would strengthen the\nutility of PMMoV in WBE.","PeriodicalId":501266,"journal":{"name":"arXiv - QuanBio - Quantitative Methods","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Quantitative Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.12012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Since the start of the coronavirus-19 pandemic, the use of wastewater-based
epidemiology (WBE) for disease surveillance has increased throughout the world.
Because wastewater measurements are affected by external factors, processing
WBE data typically includes a normalization step in order to adjust wastewater
measurements (e.g. viral RNA concentrations) to account for variation due to
dynamic population changes, sewer travel effects, or laboratory methods. Pepper
mild mottle virus (PMMoV), a plant RNA virus abundant in human feces and
wastewater, has been used as a fecal contamination indicator and has been used
to normalize wastewater measurements extensively. However, there has been
little work to characterize the spatio-temporal variability of PMMoV in
wastewater, which may influence the effectiveness of PMMoV for adjusting or
normalizing WBE measurements. Here, we investigate its variability across space
and time using data collected over a two-year period from sewage treatment
plants across the United States. We find that most variation in PMMoV
measurements can be attributed to longitude and latitude followed by
site-specific variables. Further research into cross-geographical and -temporal
comparability of PMMoV-normalized pathogen concentrations would strengthen the
utility of PMMoV in WBE.