PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(11), P. e0313927 - e0313927
Published: Nov. 18, 2024
Wastewater-Based
Epidemiology
(WBE)
has
become
a
powerful
tool
for
assessing
disease
occurrence
in
communities.
This
study
investigates
the
coronavirus
2019
(COVID-19)
epidemic
United
States
during
2023–2024
using
wastewater
data
from
189
treatment
plants
40
states
and
District
of
Columbia.
Severe
acute
respiratory
syndrome
2
(SARS-CoV-2)
pepper-mild
mottle
virus
normalized
SARS-CoV-2
RNA
concentration
were
compared
with
COVID-19
hospitalization
admission
at
both
national
state
levels.
We
further
investigate
temporal
features
viral
abundance,
peak
timing
cross-correlation
lag
analyses
indicating
that
concentrations
precede
admissions
by
to
12
days.
Lastly,
we
demonstrate
plant
size
significant
effect
on
variability
measured
concentrations.
highlights
effectiveness
WBE
as
non-invasive,
timely
resource-efficient
monitoring
strategy,
especially
context
declining
clinical
reporting.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
945, P. 173862 - 173862
Published: June 12, 2024
Wastewater
surveillance
(WWS)
has
received
significant
attention
as
a
rapid,
sensitive,
and
cost-effective
tool
for
monitoring
various
pathogens
in
community.
WWS
is
employed
to
assess
the
spatial
temporal
trends
of
diseases
identify
their
early
appearances
reappearances,
well
detect
novel
mutated
variants.
However,
shedding
rates
vary
significantly
depending
on
factors
such
disease
severity,
physiology
affected
individuals,
characteristics
pathogen.
Furthermore,
may
exhibit
differential
fate
decay
kinetics
sewerage
system.
Variable
affect
detection
wastewater.
This
influence
interpretation
results
conclusions
studies.
When
selecting
pathogen
WWS,
it
essential
consider
it's
specific
characteristics.
If
data
are
not
readily
available,
fate,
decay,
should
be
assessed
before
conducting
surveillance.
Alternatively,
these
can
compared
those
similar
which
available.
ACS ES&T Water,
Journal Year:
2024,
Volume and Issue:
4(4), P. 1657 - 1667
Published: Feb. 29, 2024
Respiratory
syncytial
virus
(RSV)
is
a
leading
cause
of
respiratory
illness
and
hospitalization,
but
clinical
surveillance
detects
only
minority
cases.
Wastewater
could
determine
the
onset
extent
RSV
circulation
in
absence
sensitive
case
detection,
to
date,
studies
wastewater
are
few.
We
measured
RNA
concentrations
solids
from
176
sites
during
2022–2023
season
compared
those
publicly
available
infection
positivity
hospitalization
rates.
Concentrations
ranged
undetectable
107
copies
per
gram.
concentration
aggregated
at
state
national
levels
correlated
with
was
determined
using
both
rates
independent
algorithms
for
14
states
where
data
were
start
season.
In
4
states,
identified
same
week;
3
preceded
onset,
7
occurred
after
onset.
generally
peaked
week
as
peaked.
Differences
peaks
versus
may
reflect
inherent
differences
approaches.
mSphere,
Journal Year:
2024,
Volume and Issue:
9(3)
Published: Feb. 27, 2024
Enteric
infections
are
important
causes
of
morbidity
and
mortality,
yet
clinical
surveillance
is
limited.
Wastewater-based
epidemiology
(WBE)
has
been
used
to
study
community
circulation
individual
enteric
viruses
panels
respiratory
diseases,
but
there
limited
work
studying
the
concurrent
a
suite
viruses.
A
retrospective
WBE
was
carried
out
at
two
wastewater
treatment
plants
located
in
California,
United
States.
Using
digital
droplet
polymerase
chain
reaction
(PCR),
we
measured
concentrations
human
adenovirus
group
F,
enteroviruses,
norovirus
genogroups
I
II,
rotavirus
nucleic
acids
solids
times
per
week
for
26
months
(
Frontiers in Public Health,
Journal Year:
2023,
Volume and Issue:
11
Published: Aug. 30, 2023
Introduction
Wastewater-based
surveillance
is
at
the
forefront
of
monitoring
for
community
prevalence
COVID-19,
however,
continued
uncertainty
exists
regarding
use
fecal
indicators
normalization
SARS-CoV-2
virus
in
wastewater.
Using
three
communities
Ontario,
sampled
from
2021–2023,
seasonality
a
viral
indicator
(pepper
mild
mottle
virus,
PMMoV)
and
utility
data
to
improve
correlations
with
clinical
cases
was
examined.
Methods
Wastewater
samples
Warden,
Humber
Air
Management
Facility
(AMF),
Kitchener
were
analyzed
SARS-CoV-2,
PMMoV,
crAssphage.
The
PMMoV
flow
rates
examined
compared
by
Season-Trend-Loess
decomposition
analysis.
effects
using
crAssphage,
comparing
episode
date
(CBED)
during
2021.
Results
Seasonal
analysis
demonstrated
that
had
similar
trends
AMF
peaks
January
April
2022
low
concentrations
(troughs)
summer
months.
Warden
but
more
sporadic
between
troughs
concentrations.
Flow
not
correlated
very
weak
(
r
=
0.12).
Despite
differences
among
sewersheds,
unnormalized
(raw
N1–N2)
concentration
wastewater
n
99–191)
strongly
CBED
0.620–0.854)
Additionally,
did
significantly
reduced
Kitchener.
crAssphage
29–57)
all
sites
different
raw
N1–N2
CBED.
Discussion
Differences
seasonal
biomarkers
caused
sewershed
characteristics
(flow,
input,
etc.)
may
play
role
determining
how
effective
be
improving
(or
not).
This
study
highlights
importance
assessing
influence
on
normalized
or
other
viruses
concern.
Fecal
used
normalize
target
interest
help
hinder
establishing
outcomes
wastewater-based
needs
considered
carefully
across
seasons
sites.
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
932, P. 172917 - 172917
Published: May 1, 2024
PMMoV
has
been
widely
used
to
normalize
the
concentration
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
RNA,
influenza,
and
syncytial
virus
(RSV)
account
for
variations
in
fecal
content
wastewater.
is
also
as
an
internal
RNA
recovery
control
wastewater-based
epidemiology
(WBE)
tests.
While
potentially
useful
interpretation
WBE
data,
previous
studies
have
suggested
that
can
be
affected
by
various
physico-chemical
characteristics
There
possibility
laboratory
methods,
particularly
variability
centrifugation
steps
remove
supernatant
from
pellets
cause
variability.
The
goal
this
study
improve
our
understanding
main
drivers
assessing
relationship
between
concentration,
wastewater,
methodological
approach
concentrating
wastewater
samples.
We
analyzed
24-hour
composite
samples
collected
influent
stream
three
treatment
plants
(WWTPs)
located
City
Toronto,
Ontario,
Canada.
Samples
were
3
5
times
per
week
starting
beginning
March
2021
mid-July
2023.
flow
rate
was
partition
data
into
wet
dry
weather
conditions.
Physico-chemical
(e.g.,
total
suspended
solids
(TSS),
biological
oxygen
demand
(BOD),
alkalinity,
electrical
conductivity
(EC),
ammonia
(NH
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(6), P. e0305550 - e0305550
Published: June 21, 2024
The
effective
reproduction
number,
[Formula:
see
text],
is
an
important
epidemiological
metric
used
to
assess
the
state
of
epidemic,
as
well
effectiveness
public
health
interventions
undertaken
in
response.
When
text]
above
one,
it
indicates
that
new
infections
are
increasing,
and
thus
epidemic
growing,
while
below
one
decreasing,
so
under
control.
There
several
established
software
packages
readily
available
statistically
estimate
using
clinical
surveillance
data.
However,
there
comparatively
few
accessible
tools
for
estimating
from
pathogen
wastewater
concentration,
a
data
stream
cemented
its
utility
during
COVID-19
pandemic.
We
present
package
ern
aims
perform
estimation
number
real-world
or
aggregated
user-friendly
way.
Journal of Water and Health,
Journal Year:
2025,
Volume and Issue:
23(3), P. 413 - 427
Published: Jan. 21, 2025
ABSTRACT
During
COVID-19,
surveillance
of
SARS-CoV-2
in
wastewater
has
been
a
promising
tool
for
tracking
viral
infection
at
the
community
level.
However,
addition
to
shedding
rates
within
community,
concentrations
raw
are
influenced
by
several
environmental
factors.
This
study
investigated
effects
characteristics
on
quantification
and
pepper
mild
mottle
virus
(PMMoV)
large
system
with
combined
sewers.
Principal
component
analysis
illustrated
that
water
temperature
negatively
correlates
PMMoV
wastewater,
but
flow
rate
EC
highly
correlated
spring
winter.
The
normalization
using
enhanced
correlation
clinical
data
compared
pH,
rate,
SARS-CoV-2.
reduced
data.
Multiple
linear
random
forest
(RF)
applied
predict
given
confirmed
cases
physicochemical
parameters.
RF
regression
was
best
model
(R2=0.8),
most
important
variables
being
followed
temperature.
is
potent
predictor
presence
wastewater.
enhances
degree
reliability
between
outbreaks
monitoring.