Τίτλος:
Wastewater monitoring as a supplementary surveillance tool for capturing
SARS-COV-2 community spread. A case study in two Greek municipalities
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
A pilot study was conducted from late October 2020 until mid-April 2021,
aiming to examine the association between SARS-CoV-2 RNA concentrations
in untreated wastewater and recorded COVID-19 cases in two Greek
municipalities. A population of Random Forest and Linear Regression
Machine Learning models was trained and evaluated incorporating the
concentrations of SARS-CoV-2 RNA in 111 wastewater samples collected
from the inlets of two Wastewater Treatment Plants, along with
physicochemical parameters of the wastewater influent. The model’s
predictions were adequately associated with the 7-day cumulative cases
with the correlation coefficients (after 5-fold cross validation)
ranging from 0.754 to 0.960 while the mean relative errors ranged from
30.42% to 59.46%. Our results provide indications that
wastewater-based predictions can be applied in diverse settings and in
prolonged time periods, although the accuracy of these predictions may
be mitigated. Wastewater-based epidemiology can support and strengthen
epidemiological surveillance.
Συγγραφείς:
Koureas, Michalis
Amoutzias, Grigoris D.
Vontas, Alexandros and
Kyritsi, Maria
Pinaka, Ourania
Papakonstantinou, Argyrios and
Dadouli, Katerina
Hatzinikou, Marina
Koutsolioutsou, Anastasia
and Mouchtouri, Varvara A.
Speletas, Matthaios
Tsiodras,
Sotirios
Hadjichristodoulou, Christos
Περιοδικό:
Marine Environmental Research
Εκδότης:
ACADEMIC PRESS INC ELSEVIER SCIENCE
Λέξεις-κλειδιά:
Wastewater-based epidemiology (WBE); COVID-19; SARS-CoV-2; Machine
learning; RNA; RT-PCR
DOI:
10.1016/j.envres.2021.111749
