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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Προβολή τεκμηρίου
  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Προβολή τεκμηρίου
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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SARS-CoV-2 wastewater monitoring using a novel PCR-based method rapidly captured the Delta-to-Omicron ΒΑ.1 transition patterns in the absence of conventional surveillance evidence

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Συγγραφέας
Chassalevris T., Chaintoutis S.C., Koureas M., Petala M., Moutou E., Beta C., Kyritsi M., Hadjichristodoulou C., Kostoglou M., Karapantsios T., Papadopoulos A., Papaioannou N., Dovas C.I.
Ημερομηνία
2022
Γλώσσα
en
DOI
10.1016/j.scitotenv.2022.156932
Λέξη-κλειδί
Cost effectiveness
Data acquisition
Decision making
Monitoring
Pattern recognition
Polymerase chain reaction
Sewage
Wastewater treatment
Clinical samples
Early warning
Genomic regions
Genotyping
Omicron ba.1
Quantification
Real time RT-PCR
Thessaloniki
Transition patterns
Wastewater-based epidemiology
Coronavirus
amplification
COVID-19
decision making
epidemiology
monitoring
public health
sampling
wastewater
wastewater treatment
Article
awareness
clinical article
controlled study
coronavirus disease 2019
decision making
epidemic
Greece
human
infection control
prevalence
public health service
real time polymerase chain reaction
remission
SARS-CoV-2 Delta
SARS-CoV-2 Omicron
virus load
virus strain
waste water treatment plant
wastewater
wastewater-based epidemiology
water monitoring
epidemiology
genetics
polymerase chain reaction
procedures
Aegean Sea
Gulf of Thessaloniki
Mediterranean Sea
Thermaikos Gulf
virus RNA
COVID-19
COVID-19 Testing
Humans
Polymerase Chain Reaction
RNA, Viral
SARS-CoV-2
Waste Water
Wastewater-Based Epidemiological Monitoring
Elsevier B.V.
Εμφάνιση Μεταδεδομένων
Επιτομή
Conventional SARS-CoV-2 surveillance based on genotyping of clinical samples is characterized by challenges related to the available sequencing capacity, population sampling methodologies, and is time, labor, and resource-demanding. Wastewater-based variant surveillance constitutes a valuable supplementary practice, since it does not require extensive sampling, and provides information on virus prevalence in a timely and cost-effective manner. Consequently, we developed a sensitive real-time RT-PCR-based approach that exclusively amplifies and quantifies SARS-CoV-2 genomic regions carrying the S:Δ69/70 deletion, indicative of the Omicron BA.1 variant, in wastewater. The method was incorporated in the analysis of composite daily samples taken from the main Wastewater Treatment Plant of Thessaloniki, Greece, from 1 December 2021. The applicability of the methodology is dependent on the epidemiological situation. During Omicron BA.1 global emergence, Thessaloniki was experiencing a massive epidemic wave attributed solely to the Delta variant, according to genomic surveillance data. Since Delta does not possess the S:Δ69/70, the emergence of Omicron BA.1 could be monitored via the described methodology. Omicron BA.1 was detected in sewage samples on 19 December 2021 and a rapid increase of its viral load was observed in the following 10-day period, with an estimated early doubling time of 1.86 days. The proportion of the total SARS-CoV-2 load attributed to BA.1 reached 91.09 % on 7 January, revealing a fast Delta-to-Omicron transition pattern. The detection of Omicron BA.1 subclade in wastewater preceded the outburst of reported (presumable) Omicron cases in the city by approximately 7 days. The proposed wastewater surveillance approach based on selective PCR amplification of a genomic region carrying a deletion signature enabled rapid, real-time data acquisition on Omicron BA.1 prevalence and dynamics during the slow remission of the Delta wave. Timely provision of these results to State authorities readily influences the decision-making process for targeted public health interventions, including control measures, awareness, and preparedness. © 2022 Elsevier B.V.
URI
http://hdl.handle.net/11615/72567
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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