Environmental Advances,
Год журнала:
2023,
Номер
11, С. 100347 - 100347
Опубликована: Янв. 25, 2023
Wastewater
surveillance
of
SARS-CoV-2
has
proven
instrumental
in
mitigating
the
spread
COVID-19
by
providing
an
economical
and
equitable
approach
to
disease
surveillance.
Here,
we
analyze
correlation
RNA
influents
seven
wastewater
plants
(WWTPs)
across
state
South
Carolina
with
corresponding
daily
case
counts
determine
whether
underlying
characteristics
WWTPs
sewershed
populations
predict
stronger
correlations.
The
served
these
have
varying
social
vulnerability
represent
24%
population.
study
spanned
15
months
from
April
19,
2020,
July
1,
2021,
which
includes
administration
first
vaccines.
concentrations
were
measured
either
reverse
transcription
quantitative
PCR
(RT-qPCR)
or
droplet
digital
(RT-ddPCR).
Although
average
flow
rate
varied
WWTPs,
strongest
was
identified
for
six
when
lagged
two
days
after
concentration
wastewater.
weakest
found
WWTP
6,
had
lowest
ratio
population
rate,
indicating
that
signal
too
dilute
a
robust
correlation.
Smoothing
7-day
moving
improved
strength
between
while
dampening
effect
lag-time
optimization.
Correlation
cases
compared
determined
at
ZIP-code
levels.
correlations
using
ZIP-code-level
versus
sewershed-level
not
statistically
different
WWTPs.
Results
indicate
surveillance,
even
without
normalization
fecal
indicators,
is
strong
predictor
clinical
least
days,
especially
RT-ddPCR.
Furthermore,
may
be
useful
metric
assess
suitable
program.
Environmental Science & Technology Letters,
Год журнала:
2022,
Номер
9(8), С. 687 - 692
Опубликована: Июль 5, 2022
Traditional
influenza
surveillance
informs
control
strategies
but
can
lag
behind
outbreak
onset
and
undercount
cases.
Wastewater
is
effective
for
monitoring
near
real-time
dynamics
of
outbreaks
has
not
been
attempted
influenza.
We
quantified
A
virus
(IAV)
RNA
in
wastewater
during
two
active
on
university
campuses
different
parts
the
United
States
times
year
using
case
data
from
an
investigation
high-quality
student
athletes.
In
both
cases,
IAV
concentrations
were
strongly
associated
with
reported
incidence
rates
(Kendall's
τ
values
0.58
0.67
University
Michigan
Stanford
University,
respectively).
Furthermore,
reflected
patterns
magnitudes.
For
outbreak,
evidence
sequencing
indicated
same
circulating
strain
identified
cases
outbreak.
The
results
demonstrate
that
effectively
detect
will
therefore
be
a
valuable
supplement
to
traditional
forms
surveillance.
Environmental Science Water Research & Technology,
Год журнала:
2022,
Номер
8(4), С. 757 - 770
Опубликована: Янв. 1, 2022
We
compared
SARS-CoV-2
RNA
concentrations
in
primary
settled
solids
and
raw
wastewater
samples
matched
date
to
investigate
the
relationship
between
two
matrices.
The Science of The Total Environment,
Год журнала:
2021,
Номер
809, С. 151169 - 151169
Опубликована: Окт. 25, 2021
Wastewater
surveillance
for
SARS-CoV-2
RNA
has
been
a
successful
indicator
of
COVID-19
outbreaks
in
populations
prior
to
clinical
testing.
However,
this
mostly
conducted
high-income
countries,
which
means
there
is
dearth
performance
investigations
low-
and
middle-income
countries
with
different
socio-economic
settings.
This
study
evaluated
the
applicability
monitoring
wastewater
(n
=
132)
inform
infection
city
Bangkok,
Thailand
using
CDC
N1
N2
RT-qPCR
assays.
influents
112)
effluents
20)
were
collected
from
19
centralized
treatment
plants
(WWTPs)
comprising
four
large,
medium,
11
small
WWTPs
during
seven
sampling
events
January
April
2021
third
resurgence
that
was
officially
declared
2021.
The
assay
showed
higher
detection
rates
lower
Ct
values
than
N2.
first
detected
at
event
when
new
reported
cases
low.
Increased
positive
preceded
an
increase
number
newly
increased
over
time
incidence.
(both
viral
loads)
strongest
correlation
daily
22-24
days
lag
(Spearman's
Rho
0.85-1.00).
Large
(serving
432,000-580,000
population)
exhibited
similar
trends
loads
those
all
WWTPs,
emphasizing
routine
large
could
provide
sufficient
information
city-scale
dynamics.
Higher
frequency
fewer
sites,
i.e.,
representative
therefore
suggested
especially
subsiding
period
outbreak
indicate
prevalence
infection,
acting
as
early
warning
resurgence.
Water Research,
Год журнала:
2024,
Номер
254, С. 121338 - 121338
Опубликована: Фев. 18, 2024
Quantitative
polymerase
chain
reaction
(PCR)
and
genome
sequencing
are
important
methods
for
wastewater
surveillance
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2).
The
reverse
transcription-droplet
digital
PCR
(RT-ddPCR)
is
a
highly
sensitive
method
quantifying
SARS-CoV-2
RNA
in
samples
to
track
the
trends
viral
activity
levels
but
cannot
identify
new
variants.
It
also
takes
time
develop
PCR-based
assays
targeting
variants
interest.
Whole
(WGS)
can
be
used
monitor
known
variants,
it
generally
not
quantitative.
Several
short-read
techniques
expensive
might
experience
delayed
turnaround
times
when
outsourced
due
inadequate
in-house
resources.
Recently,
portable
nanopore
system
offers
an
affordable
real-time
wastewater.
This
technology
has
potential
enable
swift
response
disease
outbreaks
without
relying
on
clinical
results.
In
addressing
concerns
related
rapid
accurate
variant
analysis,
both
RT-ddPCR
were
employed
emergence
was
conducted
at
23
sewer
maintenance
hole
sites
five
treatment
plants
Michigan
from
2020
2022.
2020,
dominated
by
parental
(20A,
20C
20G),
followed
20I
(Alpha,
B.1.1.7)
early
2021
Delta
concern
(VOC)
late
2021.
For
year
2022,
Omicron
dominated.
Nanopore
validate
suspected
cases
that
initially
undetermined
assays.
concordance
rate
between
identifying
clade-level
76.9%.
Notably,
instances
disagreement
two
most
prominent
identification
We
showed
with
N
gene
concentrations
>104
GC/100ml
as
measured
improve
recovery
coverage
depth
using
MinION
device.
better
detecting
key
spike
protein
mutations
A67V,
del69-70,
K417N,
L452R,
N501Y,
N679K,
R408S
(p-value
<0.05)
compared
sequencing.
suggested
should
coordinated
where
preliminary
quantification
confirmatory
detection
or
reported
here
adopted
reliable
analysis
community
level
public
health
response.
Journal of The Royal Society Interface,
Год журнала:
2025,
Номер
22(222)
Опубликована: Янв. 1, 2025
The
current
situation
of
COVID-19
measures
makes
it
difficult
to
accurately
assess
the
prevalence
SARS-CoV-2
due
a
decrease
in
reporting
rates,
leading
missed
initial
transmission
events
and
subsequent
outbreaks.
There
is
growing
recognition
that
wastewater
virus
data
assist
estimating
potential
infections,
including
asymptomatic
unreported
infections.
Understanding
hidden
behind
reported
cases
critical
for
decision-making
when
choosing
appropriate
social
intervention
measures.
However,
models
implicitly
assume
homogeneity
human
behaviour,
such
as
shedding
patterns
within
population,
making
challenging
predict
emergence
new
variants
variant-specific
or
parameters.
This
can
result
predictions
with
considerable
uncertainty.
In
this
study,
we
established
state-space
model
based
on
viral
load
both
infection
numbers.
Our
using
showed
high
goodness-of-fit
case
numbers
despite
dataset
waves
two
distinct
variants.
Furthermore,
successfully
provided
estimates
infection,
reflecting
superspreading
nature
transmission.
study
supports
notion
surveillance
modelling
have
effectively
