Detection of SARS-CoV-2 RNA in commercial passenger aircraft and cruise ship wastewater: a surveillance tool for assessing the presence of COVID-19 infected travellers.


Journal

Journal of travel medicine
ISSN: 1708-8305
Titre abrégé: J Travel Med
Pays: England
ID NLM: 9434456

Informations de publication

Date de publication:
20 08 2020
Historique:
received: 15 06 2020
revised: 30 06 2020
accepted: 06 07 2020
pubmed: 15 7 2020
medline: 4 9 2020
entrez: 15 7 2020
Statut: ppublish

Résumé

Wastewater-based epidemiology (WBE) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be an important source of information for coronavirus disease 2019 (COVID-19) management during and after the pandemic. Currently, governments and transportation industries around the world are developing strategies to minimize SARS-CoV-2 transmission associated with resuming activity. This study investigated the possible use of SARS-CoV-2 RNA wastewater surveillance from airline and cruise ship sanitation systems and its potential use as a COVID-19 public health management tool. Aircraft and cruise ship wastewater samples (n = 21) were tested for SARS-CoV-2 using two virus concentration methods, adsorption-extraction by electronegative membrane (n = 13) and ultrafiltration by Amicon (n = 8), and five assays using reverse-transcription quantitative polymerase chain reaction (RT-qPCR) and RT-droplet digital PCR (RT-ddPCR). Representative qPCR amplicons from positive samples were sequenced to confirm assay specificity. SARS-CoV-2 RNA was detected in samples from both aircraft and cruise ship wastewater; however concentrations were near the assay limit of detection. The analysis of multiple replicate samples and use of multiple RT-qPCR and/or RT-ddPCR assays increased detection sensitivity and minimized false-negative results. Representative qPCR amplicons were confirmed for the correct PCR product by sequencing. However, differences in sensitivity were observed among molecular assays and concentration methods. The study indicates that surveillance of wastewater from large transport vessels with their own sanitation systems has potential as a complementary data source to prioritize clinical testing and contact tracing among disembarking passengers. Importantly, sampling methods and molecular assays must be further optimized to maximize detection sensitivity. The potential for false negatives by both wastewater testing and clinical swab testing suggests that the two strategies could be employed together to maximize the probability of detecting SARS-CoV-2 infections amongst passengers.

Sections du résumé

BACKGROUND
Wastewater-based epidemiology (WBE) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be an important source of information for coronavirus disease 2019 (COVID-19) management during and after the pandemic. Currently, governments and transportation industries around the world are developing strategies to minimize SARS-CoV-2 transmission associated with resuming activity. This study investigated the possible use of SARS-CoV-2 RNA wastewater surveillance from airline and cruise ship sanitation systems and its potential use as a COVID-19 public health management tool.
METHODS
Aircraft and cruise ship wastewater samples (n = 21) were tested for SARS-CoV-2 using two virus concentration methods, adsorption-extraction by electronegative membrane (n = 13) and ultrafiltration by Amicon (n = 8), and five assays using reverse-transcription quantitative polymerase chain reaction (RT-qPCR) and RT-droplet digital PCR (RT-ddPCR). Representative qPCR amplicons from positive samples were sequenced to confirm assay specificity.
RESULTS
SARS-CoV-2 RNA was detected in samples from both aircraft and cruise ship wastewater; however concentrations were near the assay limit of detection. The analysis of multiple replicate samples and use of multiple RT-qPCR and/or RT-ddPCR assays increased detection sensitivity and minimized false-negative results. Representative qPCR amplicons were confirmed for the correct PCR product by sequencing. However, differences in sensitivity were observed among molecular assays and concentration methods.
CONCLUSIONS
The study indicates that surveillance of wastewater from large transport vessels with their own sanitation systems has potential as a complementary data source to prioritize clinical testing and contact tracing among disembarking passengers. Importantly, sampling methods and molecular assays must be further optimized to maximize detection sensitivity. The potential for false negatives by both wastewater testing and clinical swab testing suggests that the two strategies could be employed together to maximize the probability of detecting SARS-CoV-2 infections amongst passengers.

Identifiants

pubmed: 32662867
pii: 5871228
doi: 10.1093/jtm/taaa116
pmc: PMC7454825
pii:
doi:

Substances chimiques

RNA, Viral 0
Waste Water 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© International Society of Travel Medicine 2020. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Warish Ahmed (W)

CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australia.

Paul M Bertsch (PM)

CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australia.

Nicola Angel (N)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia.

Kyle Bibby (K)

Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA.

Aaron Bivins (A)

Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA.

Leanne Dierens (L)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia.

Janette Edson (J)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia.

John Ehret (J)

Qantas Airways Limited, 10 Bourke Rd Mascot, 2020, NSW, Australia.

Pradip Gyawali (P)

Institute of Environmental Science and Research Ltd (ESR), Porirua, 5240, New Zealand.

Kerry A Hamilton (KA)

The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Temple, AZ 85287, USA.

Ian Hosegood (I)

Qantas Airways Limited, 10 Bourke Rd Mascot, 2020, NSW, Australia.

Philip Hugenholtz (P)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia.

Guangming Jiang (G)

School of Civil, Mining and Environmental Engineering, University of Wollongong, NSW 2522, Australia.

Masaaki Kitajima (M)

Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan.

Homa T Sichani (HT)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia.

Jiahua Shi (J)

School of Civil, Mining and Environmental Engineering, University of Wollongong, NSW 2522, Australia.

Katja M Shimko (KM)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia.

Stuart L Simpson (SL)

CSIRO Land and Water, Lucas Heights, NSW 2234, Australia.

Wendy J M Smith (WJM)

CSIRO Agriculture and Food, Bioscience Precinct, St Lucia QLD 4067, Australia.

Erin M Symonds (EM)

College of Marine Science, University of South Florida, 140 Seventh Avenue South, St. Petersburg, Florida 33701 USA.

Kevin V Thomas (KV)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia.

Rory Verhagen (R)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia.

Julian Zaugg (J)

Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia.

Jochen F Mueller (JF)

Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia.

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