Environmental Technology & Innovation,
Journal Year:
2024,
Volume and Issue:
36, P. 103720 - 103720
Published: June 29, 2024
The
detection
of
viruses
(e.g.
SARS-CoV-2,
norovirus)
in
wastewater
represents
an
effective
way
to
monitor
the
prevalence
these
pathogens
circulating
within
community.
However,
accurate
quantification
viral
concentrations
wastewater,
proportional
human
input,
is
constrained
by
a
range
uncertainties,
including
(i)
dilution
sewer
network,
(ii)
degradation
RNA
during
transit,
(iii)
catchment
population
and
facility
use,
(iv)
efficiency
concentration
extraction
from
(v)
inhibition
amplification
RT-qPCR
step.
Here,
we
address
uncertainties
investigating
several
potential
normalisation
factors
ammonium
orthophosphate.
A
faecal
indicator
virus
(crAssphage),
recovery
process-control
(murine
norovirus
bacteriophage
Phi6),
used
for
quality
control
step,
were
also
considered.
We
found
that
multi-factor
SARS-CoV-2
data
was
optimal
using
combination
crAssphage,
recovery,
improve
prediction
accuracy
relative
clinical
test
data.
Using
multi-normalised
data,
lasso
regression
model
with
random
forest
modelled
residuals
lowers
error
positives
46
%,
compared
single
linear
raw
This
approach
enables
more
wastewater-based
predictions
cases
up
five
days
advance
identifying
trends
disease
before
testing,
demonstrates
pathogen
currently
monitored
emerging
diseases.
The Lancet Global Health,
Journal Year:
2023,
Volume and Issue:
11(6), P. e976 - e981
Published: May 17, 2023
To
inform
the
development
of
global
wastewater
monitoring
systems,
we
surveyed
programmes
in
43
countries.
Most
monitored
predominantly
urban
populations.
In
high-income
countries
(HICs),
composite
sampling
at
centralised
treatment
plants
was
most
common,
whereas
grab
from
surface
waters,
open
drains,
and
pit
latrines
more
typical
low-income
middle-income
(LMICs).
Almost
all
analysed
samples
in-country,
with
an
average
processing
time
2·3
days
HICs
4·5
LMICs.
Whereas
59%
regularly
for
SARS-CoV-2
variants,
only
13%
LMICs
did
so.
share
their
data
internally,
partnering
organisations,
but
not
publicly.
Our
findings
show
richness
existing
ecosystem.
With
additional
leadership,
funding,
implementation
frameworks,
thousands
individual
initiatives
can
coalesce
into
integrated,
sustainable
network
disease
surveillance-one
that
minimises
risk
overlooking
future
health
threats.
Clinical Microbiology Reviews,
Journal Year:
2023,
Volume and Issue:
37(1)
Published: Dec. 14, 2023
SUMMARY
Wastewater-based
surveillance
(WBS)
has
undergone
dramatic
advancement
in
the
context
of
coronavirus
disease
2019
(COVID-19)
pandemic.
The
power
and
potential
this
platform
technology
were
rapidly
realized
when
it
became
evident
that
not
only
did
WBS-measured
SARS-CoV-2
RNA
correlate
strongly
with
COVID-19
clinical
within
monitored
populations
but
also,
fact,
functioned
as
a
leading
indicator.
Teams
from
across
globe
innovated
novel
approaches
by
which
wastewater
could
be
collected
diverse
sewersheds
ranging
treatment
plants
(enabling
community-level
surveillance)
to
more
granular
locations
including
individual
neighborhoods
high-risk
buildings
such
long-term
care
facilities
(LTCF).
Efficient
processes
enabled
extraction
concentration
highly
dilute
matrix.
Molecular
genomic
tools
identify,
quantify,
characterize
its
various
variants
adapted
programs
applied
these
mixed
environmental
systems.
Novel
data-sharing
allowed
information
mobilized
made
immediately
available
public
health
government
decision-makers
even
public,
enabling
evidence-informed
decision-making
based
on
local
dynamics.
WBS
since
been
recognized
tool
transformative
potential,
providing
near-real-time
cost-effective,
objective,
comprehensive,
inclusive
data
changing
prevalence
measured
analytes
space
time
populations.
However,
consequence
rapid
innovation
hundreds
teams
simultaneously,
tremendous
heterogeneity
currently
exists
literature.
This
manuscript
provides
state-of-the-art
review
established
details
current
work
underway
expanding
scope
other
infectious
targets.
PLoS ONE,
Journal Year:
2023,
Volume and Issue:
18(4), P. e0284370 - e0284370
Published: April 12, 2023
Wastewater-based
epidemiology
(WBE)
has
become
a
valuable
tool
for
monitoring
SARS-CoV-2
infection
trends
throughout
the
COVID-19
pandemic.
Population
biomarkers
that
measure
relative
human
fecal
contribution
to
normalize
wastewater
concentrations
are
needed
improved
analysis
and
interpretation
of
community
trends.
The
Centers
Disease
Control
Prevention
National
Wastewater
Surveillance
System
(CDC
NWSS)
recommends
using
flow
rate
or
indicators
as
population
normalization
factors.
However,
there
is
no
consensus
on
which
factor
performs
best.
In
this
study,
we
provided
first
multistate
assessment
effects
(crAssphage,
F+
Coliphage,
PMMoV)
correlation
cases
CDC
NWSS
dataset
182
communities
across
six
U.S.
states.
Flow
normalized
produced
strongest
with
cases.
from
three
were
significantly
lower
than
rate.
Additionally,
reverse
transcription
droplet
digital
polymerase
chain
reaction
(RT-ddPCR)
values
over
samples
analyzed
real-time
quantitative
(rRT-qPCR).
Our
shows
utilizing
RT-ddPCR
generate
between
The Lancet Regional Health - Americas,
Journal Year:
2023,
Volume and Issue:
28, P. 100639 - 100639
Published: Nov. 24, 2023
Tracking
infectious
diseases
at
the
community
level
is
challenging
due
to
asymptomatic
infections
and
logistical
complexities
of
mass
surveillance.
Wastewater
surveillance
has
emerged
as
a
valuable
tool
for
monitoring
disease
agents
including
SARS-CoV-2
Mpox
virus.
However,
detecting
virus
in
wastewater
particularly
its
relatively
low
prevalence
community.
In
this
study,
we
aim
characterize
three
molecular
assays
tracking
from
El
Paso,
Texas,
during
February
March
2023.
Food and Environmental Virology,
Journal Year:
2024,
Volume and Issue:
16(1), P. 38 - 49
Published: Jan. 2, 2024
Abstract
During
the
COVID-19
pandemic,
wastewater-based
epidemiology
(WBE)
and
clinical
surveillance
have
been
used
as
tools
for
analyzing
circulation
of
SARS-CoV-2
in
community,
but
both
approaches
can
be
strongly
influenced
by
some
sources
variability.
From
challenging
perspective
integrating
environmental
data,
we
performed
a
correlation
analysis
between
concentrations
raw
sewage
incident
cases
areas
served
medium-size
wastewater
treatment
plants
(WWTPs)
from
2021
to
2023.
To
this
aim,
datasets
were
adjusted
several
variability:
WBE
data
factors
including
analytical
protocol,
flow,
population
size,
while
adjustments
considered
demographic
composition
population.
Then,
addressed
impact
on
differences
among
sewerage
networks
variations
frequency
type
swab
tests
due
changes
political
regulatory
scenarios.
Wastewater
significantly
correlated
when
restrictive
containment
measures
limited
movements
effect
(
ρ
=
0.50)
confirmed
exclusively
through
molecular
testing
0.49).
Moreover,
positive
(although
weak)
arose
WWTPs
located
densely
populated
0.37)
with
shorter
lengths
0.28).
This
study
provides
methodological
interpreting
which
could
also
useful
other
infections.
Data
evaluation
possible
bias
need
carefully
integrated
Viruses,
Journal Year:
2024,
Volume and Issue:
16(3), P. 460 - 460
Published: March 17, 2024
Tomato
Brown
Rugose
Fruit
Virus
(ToBRFV)
is
a
plant
pathogen
that
infects
important
Solanaceae
crop
species
and
can
dramatically
reduce
tomato
yields.
The
ToBRFV
has
rapidly
spread
around
the
globe
due
to
its
ability
escape
detection
by
antiviral
host
genes
which
confer
resistance
other
tobamoviruses
in
plants.
development
of
robust
reproducible
methods
for
detecting
viruses
environment
aids
tracking
reduction
transmission.
We
detected
municipal
wastewater
influent
(WWI)
samples,
likely
presence
human
waste,
demonstrating
widespread
distribution
WWI
throughout
Ontario,
Canada.
To
aid
global
surveillance
efforts,
we
developed
tiled
amplicon
approach
sequence
track
evolution
genomes
WWI.
Our
assay
recovers
95.7%
6393
bp
RefSeq
genome,
omitting
terminal
5′
3′
ends.
demonstrate
our
sequencing
robust,
sensitive,
highly
specific
method
recovering
genomes.
was
using
existing
ARTIC
Network
resources,
including
primer
design,
library
prep,
read
analysis.
Additionally,
adapted
lineage
abundance
estimation
tool,
Alcov,
estimate
clades
samples.
Food and Environmental Virology,
Journal Year:
2023,
Volume and Issue:
15(1), P. 71 - 81
Published: Feb. 15, 2023
Faecal
shedding
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
and
its
subsequent
detection
in
wastewater
turned
the
spotlight
onto
wastewater-based
epidemiology
(WBE)
for
monitoring
coronavirus-disease
2019
(COVID-19)
pandemic.
WBE
SARS-CoV-2
has
been
deployed
70
countries,
providing
insights
into
disease
prevalence,
forecasting
spatiotemporal
tracking
emergence
variants.
Wastewater,
however,
is
a
complex
sample
matrix
containing
numerous
reverse
transcription
quantitative
PCR
(RT-qPCR)
inhibitors
whose
concentration
diversity
are
influenced
by
factors
including
population
size,
surrounding
industry
agriculture
climate.
Such
differences
RT-qPCR
inhibitor
profile
likely
to
impact
quality
data
produced
potentially
produce
erroneous
results.To
help
determine
possible
assay
on
quality,
two
assays
employed
different
laboratories
within
UK's
programme
were
assessed
Cefas
laboratory
Weymouth,
UK.
The
based
Fast
Virus
(FV)
qScript
(qS)
chemistries
using
same
primers
probes,
but
at
concentrations
under
cycling
conditions.
Bovine
serum
albumin
MgSO4
also
added
FV
reaction
mixture.
Two-hundred
eighty-six
samples
analysed,
an
external
control
RNA
(EC
RNA)-based
method
was
used
measure
inhibition.
Compared
with
qS,
showed
40.5%
reduction
mean
inhibition
57.0%
inter-sample
variability.
A
4.1-fold
increase
quantification
seen
relative
qS;
partially
due
(1.5-fold)
efficiency
use
dsDNA
standard.
Analytical
variability
reduced
51.2%
while
qS
increased
number
negative
2.6-fold.
This
study
indicates
importance
thorough
optimisation
RT-qPCR-based
which
should
be
performed
selection
representative
physiochemical
properties
wastewater.
Furthermore,
inhibition,
analytical
key
considerations
during
optimisation.
standardised
framework
validation
procedures
formed
concessions
emergency
response
situations
that
would
allow
flexibility
process
address
difficult
balance
between
urgency
availability
resources.
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.