Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance

<p>The apparent uncertainty associated with shedding patterns, environmental impacts, and sample processing strategies have greatly influenced the variability of SARS-CoV-2 concentrations in wastewater. This study evaluates the use of a new normalization approach using human RNase P for the lo...

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Main Author: Shimaa S. El-Malah (16931790) (author)
Other Authors: Jayaprakash Saththasivam (14151669) (author), Khadeeja Abdul Jabbar (17017752) (author), Arun K.K. (17545767) (author), Tricia A. Gomez (16931793) (author), Ayeda A. Ahmed (11847025) (author), Yasmin A. Mohamoud (10671696) (author), Joel A. Malek (10327973) (author), Laith J. Abu Raddad (16931811) (author), Hussein A. Abu Halaweh (16931814) (author), Roberto Bertollini (9538620) (author), Jenny Lawler (16931817) (author), Khaled A. Mahmoud (572646) (author)
Published: 2022
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_version_ 1864513536471859200
author Shimaa S. El-Malah (16931790)
author2 Jayaprakash Saththasivam (14151669)
Khadeeja Abdul Jabbar (17017752)
Arun K.K. (17545767)
Tricia A. Gomez (16931793)
Ayeda A. Ahmed (11847025)
Yasmin A. Mohamoud (10671696)
Joel A. Malek (10327973)
Laith J. Abu Raddad (16931811)
Hussein A. Abu Halaweh (16931814)
Roberto Bertollini (9538620)
Jenny Lawler (16931817)
Khaled A. Mahmoud (572646)
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author_facet Shimaa S. El-Malah (16931790)
Jayaprakash Saththasivam (14151669)
Khadeeja Abdul Jabbar (17017752)
Arun K.K. (17545767)
Tricia A. Gomez (16931793)
Ayeda A. Ahmed (11847025)
Yasmin A. Mohamoud (10671696)
Joel A. Malek (10327973)
Laith J. Abu Raddad (16931811)
Hussein A. Abu Halaweh (16931814)
Roberto Bertollini (9538620)
Jenny Lawler (16931817)
Khaled A. Mahmoud (572646)
author_role author
dc.creator.none.fl_str_mv Shimaa S. El-Malah (16931790)
Jayaprakash Saththasivam (14151669)
Khadeeja Abdul Jabbar (17017752)
Arun K.K. (17545767)
Tricia A. Gomez (16931793)
Ayeda A. Ahmed (11847025)
Yasmin A. Mohamoud (10671696)
Joel A. Malek (10327973)
Laith J. Abu Raddad (16931811)
Hussein A. Abu Halaweh (16931814)
Roberto Bertollini (9538620)
Jenny Lawler (16931817)
Khaled A. Mahmoud (572646)
dc.date.none.fl_str_mv 2022-08-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.eti.2022.102775
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Application_of_human_RNase_P_normalization_for_the_realistic_estimation_of_SARS-CoV-2_viral_load_in_wastewater_A_perspective_from_Qatar_wastewater_surveillance/24720465
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Microbiology
Biomedical and clinical sciences
Medical microbiology
Environmental sciences
Environmental management
Health sciences
Epidemiology
SARS-CoV-2 monitoring
Wastewater-based epidemiology (WBE)
Municipal wastewater
Wastewater surveillance
Variant of concern
Sequencing
dc.title.none.fl_str_mv Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p>The apparent uncertainty associated with shedding patterns, environmental impacts, and sample processing strategies have greatly influenced the variability of SARS-CoV-2 concentrations in wastewater. This study evaluates the use of a new normalization approach using human RNase P for the logic estimation of SARS-CoV-2 viral load in wastewater. SARS-CoV-2 variants outbreak was monitored during the circulating wave between February and August 2021. Sewage samples were collected from five major wastewater treatment plants and subsequently analyzed to determine the viral loads in the wastewater. SARS-CoV-2 was detected in all the samples where the wastewater Ct values exhibited a similar trend as the reported number of new daily positive cases in the country. The infected population number was estimated using a mathematical model that compensated for RNA decay due to wastewater temperature and sewer residence time, and which indicated that the number of positive cases circulating in the population declined from 765,729 ± 142,080 to 2,303 ± 464 during the sampling period. Genomic analyses of SARS-CoV-2 of thirty wastewater samples collected between March 2021 and April 2021 revealed that alpha (B.1.1.7) and beta (B.1.351) were among the dominant variants of concern (VOC) in Qatar. The findings of this study imply that the normalization of data allows a more realistic assessment of incidence trends within the population.</p><h2>Other Information</h2> <p> Published in: Environmental Technology & Innovation<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.eti.2022.102775" target="_blank">https://dx.doi.org/10.1016/j.eti.2022.102775</a></p>
eu_rights_str_mv openAccess
id Manara2_55f94bf9d955a666ec1ae6864ee3e4c2
identifier_str_mv 10.1016/j.eti.2022.102775
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/24720465
publishDate 2022
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rights_invalid_str_mv CC BY 4.0
spelling Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillanceShimaa S. El-Malah (16931790)Jayaprakash Saththasivam (14151669)Khadeeja Abdul Jabbar (17017752)Arun K.K. (17545767)Tricia A. Gomez (16931793)Ayeda A. Ahmed (11847025)Yasmin A. Mohamoud (10671696)Joel A. Malek (10327973)Laith J. Abu Raddad (16931811)Hussein A. Abu Halaweh (16931814)Roberto Bertollini (9538620)Jenny Lawler (16931817)Khaled A. Mahmoud (572646)Biological sciencesMicrobiologyBiomedical and clinical sciencesMedical microbiologyEnvironmental sciencesEnvironmental managementHealth sciencesEpidemiologySARS-CoV-2 monitoringWastewater-based epidemiology (WBE)Municipal wastewaterWastewater surveillanceVariant of concernSequencing<p>The apparent uncertainty associated with shedding patterns, environmental impacts, and sample processing strategies have greatly influenced the variability of SARS-CoV-2 concentrations in wastewater. This study evaluates the use of a new normalization approach using human RNase P for the logic estimation of SARS-CoV-2 viral load in wastewater. SARS-CoV-2 variants outbreak was monitored during the circulating wave between February and August 2021. Sewage samples were collected from five major wastewater treatment plants and subsequently analyzed to determine the viral loads in the wastewater. SARS-CoV-2 was detected in all the samples where the wastewater Ct values exhibited a similar trend as the reported number of new daily positive cases in the country. The infected population number was estimated using a mathematical model that compensated for RNA decay due to wastewater temperature and sewer residence time, and which indicated that the number of positive cases circulating in the population declined from 765,729 ± 142,080 to 2,303 ± 464 during the sampling period. Genomic analyses of SARS-CoV-2 of thirty wastewater samples collected between March 2021 and April 2021 revealed that alpha (B.1.1.7) and beta (B.1.351) were among the dominant variants of concern (VOC) in Qatar. The findings of this study imply that the normalization of data allows a more realistic assessment of incidence trends within the population.</p><h2>Other Information</h2> <p> Published in: Environmental Technology & Innovation<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.eti.2022.102775" target="_blank">https://dx.doi.org/10.1016/j.eti.2022.102775</a></p>2022-08-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.eti.2022.102775https://figshare.com/articles/journal_contribution/Application_of_human_RNase_P_normalization_for_the_realistic_estimation_of_SARS-CoV-2_viral_load_in_wastewater_A_perspective_from_Qatar_wastewater_surveillance/24720465CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/247204652022-08-01T00:00:00Z
spellingShingle Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
Shimaa S. El-Malah (16931790)
Biological sciences
Microbiology
Biomedical and clinical sciences
Medical microbiology
Environmental sciences
Environmental management
Health sciences
Epidemiology
SARS-CoV-2 monitoring
Wastewater-based epidemiology (WBE)
Municipal wastewater
Wastewater surveillance
Variant of concern
Sequencing
status_str publishedVersion
title Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
title_full Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
title_fullStr Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
title_full_unstemmed Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
title_short Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
title_sort Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance
topic Biological sciences
Microbiology
Biomedical and clinical sciences
Medical microbiology
Environmental sciences
Environmental management
Health sciences
Epidemiology
SARS-CoV-2 monitoring
Wastewater-based epidemiology (WBE)
Municipal wastewater
Wastewater surveillance
Variant of concern
Sequencing