The Science of The Total Environment,
Год журнала:
2023,
Номер
871, С. 162069 - 162069
Опубликована: Фев. 7, 2023
During
the
COVID-19
pandemic,
wastewater-based
surveillance
has
been
used
alongside
diagnostic
testing
to
monitor
infection
rates.
With
decline
in
cases
reported
public
health
departments
due
at-home
testing,
wastewater
data
may
serve
as
primary
input
for
epidemiological
models,
but
training
these
models
is
not
straightforward.
We
explored
factors
affecting
noise
and
bias
ratio
between
case
collected
26
sewersheds
California
from
October
2020
March
2022.
The
strength
of
relationship
appeared
dependent
on
sampling
frequency
population
size,
was
increased
by
normalization
flow
rate
or
count
Additionally,
lead
lag
times
varied
over
time
space,
log-transformed
individual
concentrations
changed
time.
This
decreased
Epsilon/Alpha
Delta
variant
surges
during
Omicron
BA.1
surge,
also
related
rate.
Based
this
analysis,
we
present
a
framework
scenarios
describing
dynamics
aid
handling
decisions
ongoing
modeling
efforts.
Scientific Reports,
Год журнала:
2022,
Номер
12(1)
Опубликована: Сен. 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.
Environmental Science & Technology Letters,
Год журнала:
2022,
Номер
9(2), С. 173 - 178
Опубликована: Янв. 12, 2022
Wastewater-based
epidemiology
(WBE)
uses
concentrations
of
infectious
agent
targets
in
wastewater
to
infer
infection
trends
the
contributing
community.
To
date,
WBE
has
been
used
gain
insight
into
gastrointestinal
diseases,
but
its
application
respiratory
diseases
limited.
Here,
we
report
that
syncytial
virus
(RSV)
genomic
ribonucleic
acid
can
be
detected
settled
solids
at
two
publicly
owned
treatment
works.
We
further
show
concentration
is
strongly
associated
(Kendalls
tau
=
0.65–0.77,
p
<
10–7)
with
clinical
positivity
rates
for
RSV
sentinel
laboratories
across
state
2021,
a
year
anomalous
seasonal
disease.
Given
infections
have
similar
presentations
COVID-19,
life
threatening
some,
and
immunoprophylaxis
distribution
vulnerable
people
based
on
outbreak
identification,
represents
an
important
tool
augment
current
surveillance
public
health
response
efforts.
Epidemics,
Год журнала:
2022,
Номер
39, С. 100560 - 100560
Опубликована: Апрель 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.
Proceedings of the National Academy of Sciences,
Год журнала:
2022,
Номер
119(6)
Опубликована: Фев. 3, 2022
The
coronavirus
disease
2019
(COVID-19)
pandemic
sparked
an
explosion
of
interest
in
wastewater-based
epidemiology
(WBE;
also
known
as
wastewater
monitoring
or
surveillance).
Much
has
been
said,
the
scientific
literature
and
popular
press
alike,
about
public
health
value
tracking
severe
acute
respiratory
syndrome
2
(SARS-CoV-2)
wastewater.
Emergence
spread
omicron
variant
recently
pushed
WBE
for
COVID-19
management
back
into
headlines.
Unfortunately,
coverage
potential
is
rarely
balanced
by
a
practical
discussion
limitations
tradeoffs,
especially
when
it
comes
to
issues
beyond
technical
challenges
encountered
lab.
Sometimes
makes
sense
way
monitor
outbreaks
other
threats,
sometimes
constraints
argue
spending
scarce
resources
elsewhere.
We
grapple
with
such
frequently
while
managing
program
Healthy
Davis
Together
(HDT),
multi-pronged
pandemic-response
initiative
Davis,
CA.
Since
launching
September
2020,
grown
include
in-house
analysis
collected
on
weekly,
triweekly,
daily
basis
from
70
sites
distributed
across
City
University
California,
(UC
Davis)
campus
sewer
systems
influent
their
treatment
plants.
are
glad
that
our
data
informing
local
mitigation
efforts.
Results
UC
dorm
outflows
supporting
safe
return
students
campus;
results
neighborhoods
broader
city
areas
helping
officials
understand
spatial
changes
trends
react
accordingly.
At
same
time,
running
campaign
requires
significant
investments
money,
labor,
expertise.
Given
much
information
gleaned
not
directly
actionable,
and/or
duplicates
sources,
prudent
consider
these
worthwhile.
…
[↵][1]1To
whom
correspondence
may
be
addressed.
Email:
hbischel{at}ucdavis.edu.
[1]:
#xref-corresp-1-1
ACS ES&T Water,
Год журнала:
2022,
Номер
2(11), С. 1899 - 1909
Опубликована: Май 3, 2022
Wastewater-based
epidemiology
has
emerged
as
a
promising
technology
for
population-level
surveillance
of
COVID-19.
In
this
study,
we
present
results
large
nationwide
SARS-CoV-2
wastewater
monitoring
system
in
the
United
States.
We
profile
55
locations
with
at
least
six
months
sampling
from
April
2020
to
May
2021.
These
represent
more
than
12
million
individuals
across
19
states.
Samples
were
collected
approximately
weekly
by
treatment
utilities
part
regular
service
and
analyzed
RNA
concentrations.
concentrations
normalized
pepper
mild
mottle
virus,
an
indicator
fecal
matter
wastewater.
show
that
data
reflect
temporal
geographic
trends
clinical
COVID-19
cases
investigate
impact
normalization
on
correlations
case
within
locations.
also
provide
key
lessons
learned
our
broad-scale
implementation
wastewater-based
epidemiology,
which
can
be
used
inform
approaches
future
emerging
diseases.
This
work
demonstrates
is
feasible
approach
disease.
With
evolving
epidemic
effective
vaccines
against
SARS-CoV-2,
serve
passive
detecting
changing
dynamics
or
resurgences
virus.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Июль 28, 2023
Although
the
coronavirus
disease
(COVID-19)
emergency
status
is
easing,
COVID-19
pandemic
continues
to
affect
healthcare
systems
globally.
It
crucial
have
a
reliable
and
population-wide
prediction
tool
for
estimating
COVID-19-induced
hospital
admissions.
We
evaluated
feasibility
of
using
wastewater-based
epidemiology
(WBE)
predict
weekly
new
hospitalizations
in
159
counties
across
45
states
United
States
America
(USA),
covering
population
nearly
100
million.
Using
county-level
wastewater
surveillance
data
(over
20
months),
WBE-based
models
were
established
through
random
forest
algorithm.
accurately
predicted
admissions,
allowing
preparation
window
1-4
weeks.
In
real
applications,
periodically
updated
showed
good
accuracy
transferability,
with
mean
absolute
error
within
4-6
patients/100k
upcoming
hospitalization
numbers.
Our
study
demonstrated
potential
WBE
as
an
effective
method
provide
early
warnings
systems.
