Cargando…
SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data
Wastewater monitoring of SARS-CoV-2 presents a means of tracking COVID-19 community infection dynamics on a broader geographic scale. However, accounting for environmental and sample-processing losses may be necessary for wastewater measurements to readily inform our understanding of infection preva...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590472/ https://www.ncbi.nlm.nih.gov/pubmed/34780821 http://dx.doi.org/10.1016/j.scitotenv.2021.151534 |
_version_ | 1784598972032090112 |
---|---|
author | Nagarkar, M. Keely, S.P. Jahne, M. Wheaton, E. Hart, C. Smith, B. Garland, J. Varughese, E.A. Braam, A. Wiechman, B. Morris, B. Brinkman, N.E. |
author_facet | Nagarkar, M. Keely, S.P. Jahne, M. Wheaton, E. Hart, C. Smith, B. Garland, J. Varughese, E.A. Braam, A. Wiechman, B. Morris, B. Brinkman, N.E. |
author_sort | Nagarkar, M. |
collection | PubMed |
description | Wastewater monitoring of SARS-CoV-2 presents a means of tracking COVID-19 community infection dynamics on a broader geographic scale. However, accounting for environmental and sample-processing losses may be necessary for wastewater measurements to readily inform our understanding of infection prevalence. Here, we present measurements of the SARS-CoV-2 N1 and N2 gene targets from weekly wastewater samples at three sites in Hamilton County, Ohio, during an increase and subsequent decline of COVID-19 infections. The concentration of N1 or N2 RNA in wastewater, measured over the course of six months, ranged from below the detection limit to over 10(4) gene copies/l, and correlated with case data at two wastewater treatment plants, but not at a sub-sewershed-level sampling site. We also evaluated the utility of a broader range of variables than has been reported consistently in previous work, in improving correlations of SARS-CoV-2 concentrations with case data. These include a spiked matrix recovery control (OC43), flow-normalization, and assessment of fecal loading using endogenous fecal markers (HF183, PMMoV, crAssphage). We found that adjusting for recovery, flow, and fecal indicators increased these correlations for samples from a larger sewershed (serving ~488,000 people) with greater industrial and stormwater inputs, but raw N1/N2 concentrations corresponded better with case data at a smaller, residential-oriented sewershed. Our results indicate that the optimal adjustment factors for correlating wastewater and clinical case data moving forward may not be generalizable to all sewersheds. |
format | Online Article Text |
id | pubmed-8590472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85904722021-11-15 SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data Nagarkar, M. Keely, S.P. Jahne, M. Wheaton, E. Hart, C. Smith, B. Garland, J. Varughese, E.A. Braam, A. Wiechman, B. Morris, B. Brinkman, N.E. Sci Total Environ Article Wastewater monitoring of SARS-CoV-2 presents a means of tracking COVID-19 community infection dynamics on a broader geographic scale. However, accounting for environmental and sample-processing losses may be necessary for wastewater measurements to readily inform our understanding of infection prevalence. Here, we present measurements of the SARS-CoV-2 N1 and N2 gene targets from weekly wastewater samples at three sites in Hamilton County, Ohio, during an increase and subsequent decline of COVID-19 infections. The concentration of N1 or N2 RNA in wastewater, measured over the course of six months, ranged from below the detection limit to over 10(4) gene copies/l, and correlated with case data at two wastewater treatment plants, but not at a sub-sewershed-level sampling site. We also evaluated the utility of a broader range of variables than has been reported consistently in previous work, in improving correlations of SARS-CoV-2 concentrations with case data. These include a spiked matrix recovery control (OC43), flow-normalization, and assessment of fecal loading using endogenous fecal markers (HF183, PMMoV, crAssphage). We found that adjusting for recovery, flow, and fecal indicators increased these correlations for samples from a larger sewershed (serving ~488,000 people) with greater industrial and stormwater inputs, but raw N1/N2 concentrations corresponded better with case data at a smaller, residential-oriented sewershed. Our results indicate that the optimal adjustment factors for correlating wastewater and clinical case data moving forward may not be generalizable to all sewersheds. Elsevier 2022-04-10 2021-11-13 /pmc/articles/PMC8590472/ /pubmed/34780821 http://dx.doi.org/10.1016/j.scitotenv.2021.151534 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Nagarkar, M. Keely, S.P. Jahne, M. Wheaton, E. Hart, C. Smith, B. Garland, J. Varughese, E.A. Braam, A. Wiechman, B. Morris, B. Brinkman, N.E. SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data |
title | SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data |
title_full | SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data |
title_fullStr | SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data |
title_full_unstemmed | SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data |
title_short | SARS-CoV-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data |
title_sort | sars-cov-2 monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and covid-19 case data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590472/ https://www.ncbi.nlm.nih.gov/pubmed/34780821 http://dx.doi.org/10.1016/j.scitotenv.2021.151534 |
work_keys_str_mv | AT nagarkarm sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT keelysp sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT jahnem sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT wheatone sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT hartc sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT smithb sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT garlandj sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT varugheseea sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT braama sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT wiechmanb sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT morrisb sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata AT brinkmanne sarscov2monitoringatthreesewershedsofdifferentscalesandcomplexitydemonstratesdistinctiverelationshipsbetweenwastewatermeasurementsandcovid19casedata |