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.
Environmental Science & Technology,
Journal Year:
2021,
Volume and Issue:
55(6), P. 3514 - 3519
Published: March 3, 2021
Wastewater-based
epidemiology
is
an
emerging
tool
for
tracking
the
spread
of
SARS-CoV-2
through
populations.
However,
many
factors
influence
recovery
and
quantification
from
wastewater,
complicating
data
interpretation.
Specifically,
these
may
differentially
affect
measured
virus
concentration,
depending
on
laboratory
methods
used
to
perform
test.
Many
laboratories
add
a
proxy
wastewater
samples
determine
losses
associated
with
concentration
extraction
viral
RNA.
While
measuring
important
process
control,
in
this
piece,
we
describe
caveats
limitations
interpretation
including
that
it
typically
does
not
account
during
RNA
extraction.
We
recommend
reporting
directly
alongside
efficiency,
rather
than
attempting
correct
efficiency.
Even
though
ability
compare
concentrations
different
sampling
locations
determined
using
limited,
(uncorrected
recovery)
can
be
useful
public
health
response.
Water Research,
Journal Year:
2021,
Volume and Issue:
200, P. 117252 - 117252
Published: May 17, 2021
Wastewater-based
epidemiology
(WBE)
has
been
shown
to
coincide
with,
or
anticipate,
confirmed
COVID-19
case
numbers.
During
periods
with
high
test
positivity
rates,
however,
numbers
may
be
underreported,
whereas
wastewater
does
not
suffer
from
this
limitation.
Here
we
investigated
how
the
dynamics
of
new
infections
estimated
based
on
monitoring
cases
compare
true
incidence
dynamics.
We
focused
first
pandemic
wave
in
Switzerland
(February
April,
2020),
when
ranged
up
26%.
SARS-CoV-2
RNA
loads
were
determined
2–4
times
per
week
three
Swiss
treatment
plants
(Lugano,
Lausanne
and
Zurich).
Wastewater
data
combined
a
shedding
load
distribution
an
infection-to-case
confirmation
delay
distribution,
respectively,
estimate
infection
Finally,
estimates
compared
reference
by
validated
compartmental
model.
Incidence
found
better
track
timing
shape
peak
cases.
In
contrast,
confirmations
provided
subsequent
decline
infections.
Under
regime
high-test
WBE
thus
provides
critical
information
that
is
complementary
clinical
monitor
trajectory.
International Journal of Environmental Research and Public Health,
Journal Year:
2021,
Volume and Issue:
18(9), P. 4455 - 4455
Published: April 22, 2021
Wastewater
surveillance
for
the
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
is
an
emerging
approach
to
help
identify
risk
of
a
disease
(COVID-19)
outbreak.
This
tool
can
contribute
public
health
at
both
community
(wastewater
treatment
system)
and
institutional
(e.g.,
colleges,
prisons,
nursing
homes)
scales.
paper
explores
successes,
challenges,
lessons
learned
from
initial
wastewater
efforts
colleges
university
systems
inform
future
research,
development
implementation.
We
present
experiences
25
college
in
United
States
that
monitored
campus
SARS-CoV-2
during
fall
2020
academic
period.
describe
broad
range
approaches,
findings,
resources,
impacts
these
efforts.
These
institutions
size,
social
political
geographies,
include
private
institutions.
Our
analysis
suggests
monitoring
requires
consideration
local
information
needs,
sewage
infrastructure,
resources
sampling
analysis,
dynamics,
approaches
interpretation
communication
results,
follow-up
actions.
Most
reported
learning
process
experimentation,
evaluation,
adaptation
was
key
progress.
ongoing
collaboration
among
diverse
stakeholders
including
decision-makers,
researchers,
faculty,
facilities
staff,
students,
members.
Emerging infectious diseases,
Journal Year:
2021,
Volume and Issue:
27(9), P. 1 - 8
Published: Aug. 19, 2021
Abstract
Wastewater
surveillance
for
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
has
garnered
extensive
public
attention
during
the
disease
pandemic
as
a
proposed
complement
to
existing
systems.
Over
past
year,
methods
detection
and
quantification
of
SARS-CoV-2
viral
RNA
in
untreated
sewage
have
advanced,
concentrations
wastewater
been
shown
correlate
with
trends
reported
cases.
Despite
promise
surveillance,
these
measurements
translate
into
useful
health
tools,
bridging
communication
knowledge
gaps
between
researchers
responders
is
needed.
We
describe
key
uses,
barriers,
applicability
supporting
decisions
actions,
including
establishing
ethics
consideration
monitoring.
Although
assess
community
infections
not
new
idea,
might
be
initiating
event
make
this
emerging
tool
sustainable
nationwide
system,
provided
that
barriers
are
addressed.
Scientific Reports,
Journal Year:
2022,
Volume and Issue:
12(1)
Published: Sept. 22, 2022
Recurrent
influenza
epidemics
and
pandemic
potential
are
significant
risks
to
global
health.
Public
health
authorities
use
clinical
surveillance
locate
monitor
influenza-like
cases
outbreaks
mitigate
hospitalizations
deaths.
Currently,
integration
of
is
the
only
reliable
method
for
reporting
types
subtypes
warn
emergent
strains.
The
utility
wastewater
(WWS)
during
COVID-19
as
a
less
resource
intensive
replacement
or
complement
has
been
predicated
on
analyzing
viral
fragments
in
wastewater.
We
show
here
that
virus
targets
stable
partitions
favorably
solids
fraction.
By
quantifying,
typing,
subtyping
municipal
primary
sludge
community
outbreak,
we
forecasted
citywide
flu
outbreak
with
17-day
lead
time
provided
population-level
near
real-time
feasibility
WWS
at
neighbourhood
levels
real
using
minimal
resources
infrastructure.
ACS ES&T Water,
Journal Year:
2022,
Volume and Issue:
2(11), P. 1871 - 1880
Published: Jan. 28, 2022
We
compared
reverse
transcription-quantitative
polymerase
chain
reaction
(RT-qPCR)
and
RT
digital
PCR
(RT-dPCR)
platforms
for
the
trace
detection
of
SARS-CoV-2
RNA
in
low-prevalence
COVID-19
locations
Queensland,
Australia,
using
CDC
N1
N2
assays.
The
assay
limit
(ALOD),
inhibition
rates,
performance
characteristics
each
assay,
along
with
positivity
rates
RT-qPCR
RT-dPCR
platforms,
were
evaluated
by
seeding
known
concentrations
exogenous
wastewater.
ALODs
approximately
2-5
times
lower
than
those
RT-qPCR.
During
sample
processing,
endogenous
(n
=
96)
24)
wastewater
samples
separated,
was
extracted
from
both
eluates
pellets
(solids).
platform
demonstrated
a
rate
significantly
greater
that
assays
eluate
(N1,
p
0.0029;
N2,
0.0003)
pellet
0.0015;
0.0067)
samples.
results
also
indicated
analysis
wastewater,
including
may
further
increase
sensitivity
RT-dPCR.
Epidemics,
Journal Year:
2022,
Volume and Issue:
39, P. 100560 - 100560
Published: April 9, 2022
The
COVID-19
pandemic
has
stimulated
wastewater-based
surveillance,
allowing
public
health
to
track
the
epidemic
by
monitoring
concentration
of
genetic
fingerprints
SARS-CoV-2
shed
in
wastewater
infected
individuals.
Wastewater-based
surveillance
for
is
still
its
infancy.
In
particular,
quantitative
link
between
clinical
cases
observed
through
traditional
and
signals
from
viral
concentrations
developing
hampers
interpretation
data
actionable
public-health
decisions.
We
present
a
modelling
framework
that
includes
both
transmission
at
population
level
fate
RNA
particles
sewage
system
after
faecal
shedding
persons
population.
Using
our
mechanistic
representation
combined
clinical/wastewater
system,
we
perform
exploratory
simulations
quantify
effect
effectiveness,
interventions
vaccination
on
discordance
signals.
also
apply
model
three
Canadian
cities
provide
wastewater-informed
estimates
actual
prevalence,
effective
reproduction
number
incidence
forecasts.
find
paired
with
this
model,
can
complement
supporting
estimation
key
epidemiological
metrics
hence
better
triangulate
state
an
using
alternative
source.