medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Фев. 15, 2023
Summary
Background
The
World
Health
Organisation
recommends
wastewater
based
epidemiology
(WBE)
for
SARS-CoV-2
as
a
complementary
tool
monitoring
population-level
epidemiological
features
of
the
COVID-19
pandemic.
Yet,
uptake
WBE
in
low-to-middle
income
countries
(LMIC)
is
low.
We
report
on
findings
from
surveillance
network
South
Africa,
and
make
recommendations
regarding
implementation
LMICs
Methods
Seven
laboratories
using
different
test
methodology,
quantified
influent
collected
87
treatment
plants
(WWTPs)
located
all
nine
African
provinces
01
June
2021
–
31
May
2022
inclusive,
during
3rd
4th
waves
COVID-19.
Regression
analysis
with
district
laboratory-confirmed
case
loads,
controlling
district,
size
plant
testing
frequency
was
determined.
sensitivity
specificity
‘rules’
data
to
predict
an
epidemic
wave
levels
were
Findings
Among
2158
samples,
543/648
(85%)
samples
taken
tested
positive
compared
842
tests
1512
(55%)
interwave
period.
Overall,
regression-co-efficient
0,66
(95%
confidence
interval=0,6-0,72,
R
2
=0.59),
but
ranged
0.14-0.87
by
laboratory.
Early
warning
4
th
Gauteng
Province
November-December
demonstrated.
A
50%
increase
log-copies
rolling
mean
over
previous
5
weeks
most
sensitive
predictive
rule
(58%)
new
wave.
Interpretation
Variation
strength
correlation
across
laboratories,
redundancy
co-located
plants,
suggests
that
methodology
should
be
standardised
networks
may
utilise
sentinel
site
model
without
compromising
value
public
health
decision-making.
Further
research
needed
identify
optimal
need
normalisation
population
size,
so
interpretive
rules
support
early
action.
Our
investment
low
middle-income
countries.
Research
Context
Evidence
before
this
study
Wastewater-based
has
long
been
used
track
community
disease
burden
within
communities.
This
approach
become
increasingly
popular
virus
since
beginning
searched
PubMed
up
until
these
keywords
“SARS-CoV-2”,
“COVID”,
“wastewater-based
epidemiology”,
“WBE”,
combining
them
relevant
Boolean
operators.
found
majority
studies
mostly
conducted
high
settings.
Huge
gap
exists
such
middle
countries,
particularly,
sub-Saharan
Africa.
Furthermore,
given
still
its
stages,
more
are
required
not
only
quantify
RNA
also
assess
relationship
between
clinical
load.
Such
showcase
usefulness
WBE,
strengthen
improve
officials
decision
making.
Added
first
large
number
(87)
major
cities
national
scale
country.
demonstrates
added
wastewater-based
great
aid
control
our
setting
similar
settings,
it
feasibility
type
testing.
critical
policymakers
Africa
other
Implications
available
evidence
shows
indeed
can
level
populations
developing
country,
especially
where
there
little
or
no
which
turn
inform
prompt
decision.
finding
implies
infectious
diseases
disproportionately
affect
many
monitored
same
approach.
The Science of The Total Environment,
Год журнала:
2025,
Номер
962, С. 178455 - 178455
Опубликована: Янв. 1, 2025
Wastewater-based
surveillance
(WBS)
can
monitor
for
the
presence
of
human
health
pathogens
in
population.
During
COVID-19,
WBS
was
widely
used
to
determine
wastewater
SARS-CoV-2
RNA
concentration
(concentrations)
providing
information
on
community
COVID-19
cases
(cases).
However,
studies
examining
relationship
between
concentrations
and
tend
be
localised
or
focussed
small-scale
institutional
settings.
Few
have
examined
this
multiple
settings,
over
long
periods,
with
large
sample
numbers,
nor
attempted
quantify
detail
how
catchment
characteristics
affected
these.
This
18-month
study
(07/20-12/21)
explored
correlation
quantitative
using
censored
regression.
Our
analysis
>94,000
samples
collected
from
452
diverse
sampling
sites
(259
Sewage
Treatment
Works
(STW)
193
Sewer
Network
Sites
(SNS))
covering
~65
%
English
Wastewater
were
linked
~6
million
diagnostically
confirmed
cases.
High
coefficients
found
(STW:
median
r
=
0.66,
IQR:
0.57-0.74;
SNS:
0.65,
0.54-0.74).
The
(regression
coefficient)
variable
catchments.
Catchment
(e.g.
size
population
grab
vs
automated
sampling)
had
significant
but
small
effects
regression
coefficients.
last
six
months
reduced
became
highly
coincided
a
shift
towards
younger
cases,
vaccinated
rapid
emergence
variant
Omicron.
programme
rapidly
introduced
at
scale
during
COVID-19.
Laboratory
methods
evolved
catchments
characteristics.
Despite
diversity,
findings
indicate
that
provides
an
effective
proxy
establishing
dynamics
across
wide
variety
communities.
While
there
is
potential
predicting
concentration,
may
more
smaller
scales.
PLoS ONE,
Год журнала:
2022,
Номер
17(11), С. e0277154 - e0277154
Опубликована: Ноя. 10, 2022
The
potential
of
wastewater-based
epidemiology
(WBE)
as
a
surveillance
and
early
warning
tool
for
the
COVID-19
outbreak
has
been
demonstrated.
For
areas
with
limited
testing
capacity,
wastewater
can
provide
information
on
disease
dynamic
at
community
level.
A
predictive
model
is
key
to
generating
quantitative
estimates
infected
population.
Modeling
longitudinal
data
be
challenging
biomarkers
in
are
susceptible
variations
caused
by
multiple
factors
associated
matrix
sewersheds
characteristics.
As
WBE
an
emerging
trend,
should
able
address
uncertainties
from
different
sewersheds.
We
proposed
exploiting
machine
learning
deep
techniques,
which
supported
growing
data.
In
this
article,
we
reviewed
existing
models,
among
learning/deep
models
showed
great
potential.
However,
most
built
individual
few
features
extracted
wastewater.
To
fulfill
research
gap,
compared
time-series
non-time-series
their
short-term
performance
cases
9
diverse
long
memory
(LSTM)
Prophet,
outcompeted
models.
Besides
viral
(SARS-CoV-2)
loads
location
identity,
domain-specific
like
biochemical
parameters
wastewater,
geographical
sewersheds,
some
socioeconomic
communities
contribute
With
proper
feature
engineering
hyperparameter
tuning,
believe
LSTM
feasible
solution
trend
prediction
via
WBE.
Overall,
proof-of-concept
study
application
Future
studies
needed
deploy
maintain
more
real-world
applications.
JAMA Network Open,
Год журнала:
2024,
Номер
7(7), С. e2418821 - e2418821
Опубликована: Июль 2, 2024
Importance
Socioeconomically
disadvantaged
individuals
(ie,
those
with
low
socioeconomic
status
[SES])
have
difficulty
quitting
smoking
and
may
benefit
from
incentive-based
cessation
interventions.
Objectives
To
evaluate
the
impact
of
incentivizing
abstinence
on
among
adults
SES.
Design,
Setting,
Participants
This
study
used
a
2-group
randomized
clinical
trial
design.
Data
collection
occurred
between
January
30,
2017,
February
7,
2022.
included
SES
who
were
willing
to
undergo
treatment.
analyzed
April
18,
2023,
19,
2024.
Interventions
usual
care
(UC)
for
(counseling
plus
pharmacotherapy)
or
UC
abstinence-contingent
financial
incentives
(UC
FI).
Main
Outcomes
Measures
The
primary
outcome
was
biochemically
verified
7-day
point
prevalence
(PPA)
at
26
weeks
after
quit
date.
Secondary
outcomes
PPA
earlier
follow-ups,
30-day
12
weeks,
repeated
PPA,
continuous
abstinence.
Multiple
approaches
employed
handle
missing
follow-up,
including
categorizing
data
as
(primary),
complete
case
analysis,
multiple
imputation.
Results
320
participants
had
mean
(SD)
age
48.9
(11.6)
predominantly
female
(202
[63.1%]);
82
(25.6%)
Black,
15
(4.7%)
Hispanic,
200
(62.5%)
White;
146
(45.6%)
participated
during
COVID-19
pandemic.
Overall,
161
159
FI.
After
covariate
adjustment
treated
smoking,
assignment
FI
associated
greater
likelihood
4-week
(adjusted
odds
ratio
[AOR],
3.11
[95%
CI,
1.81-5.34]),
8-week
(AOR,
2.93
1.62-5.31]),
12-week
3.18
1.70-5.95])
but
not
26-week
follow-up
(22
[13.8%]
vs
14
[8.7%]
abstinent;
AOR,
1.79
0.85-3.80]).
However,
association
group
reached
statistical
significance
all
imputation
(37.37
[23.5%]
in
19.48
[12.1%]
2.29
1.14-4.63]).
Repeated-measures
analyses
indicated
that
significantly
more
likely
achieve
across
assessments
through
estimation
methods.
Other
secondary
also
showed
comparable
patterns
earned
$72
($90)
(of
$250
possible)
incentives.
Participation
pandemic
reduced
assessments.
Conclusions
Relevance
In
this
trial,
did
increase
when
smoking;
however,
follow-ups
weeks.
Cessation
rates
higher
estimate
outcomes.
Trial
Registration
ClinicalTrials.gov
Identifier:
NCT02737566
ISPRS International Journal of Geo-Information,
Год журнала:
2023,
Номер
12(2), С. 45 - 45
Опубликована: Янв. 31, 2023
The
COVID-19
pandemic
has
posed
numerous
challenges
to
human
society.
Previous
studies
explored
multiple
factors
in
virus
transmission.
Yet,
their
impacts
on
are
not
universal
and
vary
across
geographical
regions.
In
this
study,
we
thoroughly
quantified
the
spatiotemporal
associations
of
49
health,
socioeconomic,
demographic,
environmental
with
at
county
level
Arkansas,
US.
To
identify
associations,
applied
ordinary
least
squares
(OLS)
linear
regression,
spatial
lag
model
(SLM),
error
(SEM),
multiscale
geographically
weighted
regression
(MGWR)
model.
reveal
how
such
change
different
times,
conducted
analyses
for
each
season
(i.e.,
spring,
summer,
fall,
winter)
from
2020
2021.
We
demonstrate
that
there
driving
along
variants,
magnitudes
spatiotemporally.
However,
our
results
adult
obesity
a
positive
association
incidence
rate
over
entire
thus
confirming
people
vulnerable
COVID-19.
Humidity
consistently
negatively
affects
all
seasons,
denoting
increasing
humidity
could
reduce
risk
infection.
addition,
diabetes
shows
roles
spread
both
early
variants
Delta,
while
plays
Delta
Omicron.
Our
study
highlights
complexity
multifactor
affect
seasons
counties
Arkansas.
These
findings
useful
informing
local
health
planning
(e.g.,
vaccine
rollout,
mask
regulation,
testing/tracing)
residents
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0311332 - e0311332
Опубликована: Фев. 25, 2025
Wastewater
and
environmental
surveillance
has
been
promoted
as
a
communicable
disease
tool
because
it
overcomes
inherent
biases
in
laboratory-based
surveillance.
Yet,
little
empirical
evidence
exists
to
support
this
notion,
remains
largely
an
intuitive,
though
highly
plausible
hypothesis.
Our
interdisciplinary
study
uses
WES
data
show
for
underreporting
of
SARS-CoV-2
the
context
measurable
statistically
significant
associations
between
economic
conditions
incidence
testing
rates.
We
obtained
geolocated,
anonymised,
laboratory-confirmed
cases,
wastewater
viral
load
socio-demographic
Gauteng
Province,
South
Africa.
spatially
located
all
create
single
dataset
sewershed
catchments
served
by
two
large
treatment
plants.
conducted
epidemiological,
persons
infected
principal
component
analysis
explore
relationships
variables.
Overall,
we
demonstrate
co-contributory
influences
socio-economic
indicators
on
access
cumulative
incidence,
thus
reflecting
that
apparent
rates
mirror
socioeconomic
considerations
rather
than
true
epidemiology.
These
analyses
how
provides
valuable
information
contextualise
interpret
epidemiological
data.
Whilst
is
useful
have
these
established
SARS-CoV-2,
implications
beyond
are
legion
reasons,
namely
clinical
broadly
applicable
across
pathogens
infecting
humans
will
find
their
way
into
albeit
varying
quantities.
should
be
implemented
strengthen
systems,
especially
where
inequalities
limit
interpretability
conventional
SSM - Population Health,
Год журнала:
2025,
Номер
unknown, С. 101786 - 101786
Опубликована: Март 1, 2025
Population
health
data
from
wastewater-based
epidemiology
(WBE)
are
being
used
at
unprecedented
scales
worldwide,
yet
there
is
limited
focus
on
how
to
advance
equity
in
the
field.
Addressing
this
gap,
we
conducted
a
critical
review
of
published
literature
PubMed,
targeting
studies
intersection
WBE
and
equity.
Of
145
articles
assessed
full-text
screening,
identified
68
with
considerations.
These
spanned
various
spatial
biochemical
targets,
addressing
domains
such
as
study
design
methodologies,
ethical
social
considerations,
feasibility
implementation
monitoring.
We
summarize
synthesize
equity-oriented
considerations
across
domains.
further
propose
five
key
research
practice,
integrate
these
into
conceptual
framework
illustrate
they
apply
major
steps
process
conducting
WBE.
include
global
inequities
access,
need
prevent
potential
harms
stigma
via
misuse
(inappropriate
reporting
use
for
criminal
surveillance),
importance
regulation
community
engagement,
particularly
amidst
growing
privatization
WBE,
especially
United
States.
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Июль 20, 2023
Introduction
Wastewater
surveillance
has
proven
to
be
a
valuable
approach
monitoring
the
spread
of
SARS-CoV-2,
virus
that
causes
Coronavirus
disease
2019
(COVID-19).
Recognizing
benefits
wastewater
as
tool
support
public
health
in
tracking
SARS-CoV-2
and
other
respiratory
pathogens,
numerous
sampling
concentration
methods
have
been
tested
for
appropriate
applications
well
their
significance
actionability
by
practices.
Methods
Here,
we
present
34-week
long
study
covers
nearly
4
million
residents
Detroit
(MI,
United
States)
metropolitan
area.
Three
primary
were
compared
with
respect
recovery
from
wastewater:
Virus
Adsorption-Elution
(VIRADEL),
polyethylene
glycol
precipitation
(PEG),
polysulfone
(PES)
filtration.
viral
concentrations
normalized
using
various
parameters
(flow
rate,
population,
total
suspended
solids)
account
variations
flow.
analytical
approaches
implemented
compare
across
three
COVID-19
clinical
data
both
non-normalized
data:
Pearson
Spearman
correlations,
Dynamic
Time
Warping
(DTW),
Lagged
Cross
Correlation
(TLCC)
peak
synchrony.
Results
It
was
found
VIRADEL,
which
captures
free
supernatant
wastewater,
leading
indicator
cases
within
region,
whereas
PEG
PES
filtration,
target
particle-associated
virus,
each
lagged
behind
early
alert
potential
VIRADEL.
may
potentially
capture
previously
shed
accumulated
resuspended
sediments
interceptors.
Discussion
These
results
indicate
VIRADEL
method
can
used
enhance
early-warning
although
drawbacks
include
need
process
large
volumes
concentrate
sufficiently
detection.
While
lagging
early-alert
potential,
filtration
routine
since
they
allow
number
samples
processed
concurrently
while
being
more
cost-effective
rapid
turn-around
yielding
same
day
collection.
The Science of The Total Environment,
Год журнала:
2024,
Номер
926, С. 172021 - 172021
Опубликована: Март 27, 2024
Longitudinal
wastewater
sampling
during
the
COVID-19
pandemic
was
an
important
aspect
of
disease
surveillance,
adding
to
a
more
complete
understanding
infection
dynamics
and
providing
data
for
community
public
health
monitoring
intervention
planning.
This
largely
accomplished
by
testing
SARS-CoV-2
RNA
concentrations
in
samples
from
municipal
treatment
plants
(WWTPs).
We
evaluated
utility
virus
levels
upstream
WWTP
within
residential
neighborhoods
that
feed
into
WWTP.
propose
across
could
reveal
health-relevant
information
about
sub-group
heterogeneity
concentrations.
Virus
concentration
patterns
display
between
over
time.
Sewage
as
measured
RT-qPCR
also
corresponded
closely
verified
counts
individual
neighborhoods.
More
importantly,
our
suggest
loss
disease-relevant
when
occurs
only
at
level
instead
Spikes
are
often
masked
dilution
other
samples.
Wastewater-based
epidemiology
(WBE)
employed
reliably
detects
city-sized
population
but
provides
less
actionable
experiencing
greater
viral
disease.
Neighborhood
sewershed
reveals
population-based
local
improves
opportunities
intervention.
Longitudinally
employed,
neighborhood
surveillance
may
provide
3–6
day
early
warning
spikes
and,
highly
specific
on
subpopulations
particularly
higher
risk
different
points
Sampling
thus
timely
cost-saving
targeted
interventions
communities.