medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 24, 2022
Abstract
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
sequentially
Epsilon/Alpha,
Delta,
Omicron
BA.1
variant
surges
also
related
rate.
Based
this
analysis,
we
present
a
framework
scenarios
describing
dynamics
aid
handling
decisions
ongoing
modeling
efforts.
Journal of Water and Health,
Год журнала:
2023,
Номер
22(1), С. 197 - 234
Опубликована: Дек. 7, 2023
Abstract
The
aim
of
this
updated
systematic
review
was
to
offer
an
overview
the
effectiveness
environmental
surveillance
(ES)
SARS-CoV-2
as
a
potential
early-warning
system
(EWS)
for
COVID-19
and
new
variants
concerns
(VOCs)
during
second
year
pandemic.
An
literature
search
conducted
evaluate
added
value
ES
public
health
decisions.
studies
published
between
June
2021
July
2022
resulted
in
1,588
publications,
identifying
331
articles
full-text
screening.
A
total
151
publications
met
our
inclusion
criteria
assessment
EWS
early
detection
variants.
We
identified
further
30
among
grey
literature.
confirms
its
usefulness
detecting
waves
infection
with
average
lead
time
1–2
weeks
most
publication.
could
function
VOCs
areas
no
registered
cases
or
limited
clinical
capacity.
Challenges
data
harmonization
variant
require
standardized
approaches
innovations
improved
decision-making.
support
decision-making
resource
allocation
future
outbreaks.
The
past
2
years
have
been
marked
by
the
severe
acute
respiratory
syndrome
coronavirus
(SARS-CoV-2)
pandemic.
This
virus
is
found
in
intestinal
tract
and
reaches
wastewater
system,
and,
consequently,
natural
receiving
water
bodies,
inappropriate
or/and
inefficient
WW
treatment
a
means
of
contamination.
In
present
work,
we
used
SARS-CoV-2
model—the
phage
Phi6—to
evaluate
its
survival
under
different
environmental
conditions
(pH,
temperature,
salinity,
solar,
UV-B
irradiation).
Then,
tested
efficiency
photodynamic
inactivation
(PDI)
as
disinfection
alternative
method,
additionally,
impact
on
cultivable
native
marine
microorganisms
PDI-treated
was
evaluated.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Ноя. 24, 2022
Abstract
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
sequentially
Epsilon/Alpha,
Delta,
Omicron
BA.1
variant
surges
also
related
rate.
Based
this
analysis,
we
present
a
framework
scenarios
describing
dynamics
aid
handling
decisions
ongoing
modeling
efforts.
