Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Nov. 22, 2023
Abstract
Wastewater
based
epidemiology
has
become
a
widely
used
tool
for
monitoring
trends
of
concentrations
different
pathogens,
most
notably
and
widespread
SARS-CoV-2
RNA.
Therefore,
in
2022,
also
Rhineland-Palatinate,
the
Ministry
Science
Health
included
16
wastewater
treatment
sites
surveillance
program
providing
biweekly
samples.
However,
mere
viral
load
data
is
subject
to
strong
fluctuations
limited
value
political
deciders
on
its
own.
by
commissioning
prevalence
study
SentiSurv,
carried
out
University
Medical
Center
Johannes
Gutenberg
Mainz,
state
Rhineland-Palatinate
put
itself
fortunate
position
having
time
series
both,
representative
population.
Our
main
contribution
calibration
from
2023-01-08
until
2023-10-01
where
we
identified
scaling
factor
(0.208
+/-
0.031)
delay
(5.07
2.30
days)
between
PMMoV-normalized
virus
self-reported
with
aid
an
adequate
epidemiological
model.
We
show
how
that
can
be
estimate
when
cohort
no
longer
available
use
it
as
forecasting
instrument
several
weeks
ahead
time.
quality
resulting
factors
depend
strongly
samples
are
normalized.
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.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 22, 2024
Wastewater
based
epidemiology
has
become
a
widely
used
tool
for
monitoring
trends
of
concentrations
different
pathogens,
most
notably
and
widespread
SARS-CoV-2.
Therefore,
in
2022,
also
Rhineland-Palatinate,
the
Ministry
Science
Health
included
16
wastewater
treatment
sites
surveillance
program
providing
biweekly
samples.
However,
mere
viral
load
data
is
subject
to
strong
fluctuations
limited
value
political
deciders
on
its
own.
state
Rhineland-Palatinate
commissioned
University
Medical
Center
at
Johannes
Gutenberg
Mainz
conduct
representative
cohort
study
called
SentiSurv,
which
an
increasing
number
up
12,000
participants
have
been
using
sensitive
antigen
self-tests
once
or
twice
week
test
themselves
SARS-CoV-2
report
their
status.
This
puts
fortunate
position
having
time
series
both,
prevalence
population.
Our
main
contribution
calibration
from
2023-01-08
until
2023-10-01
where
we
identified
scaling
factor
(
0.208±0.031
)
delay
5.07±2.30
days)
between
virus
wastewater,
normalized
by
pepper
mild
mottle
(PMMoV),
recorded
SentiSurv
study.
The
relation
established
fitting
epidemiological
model
both
series.
We
show
how
that
can
be
estimate
when
no
longer
available
use
it
as
forecasting
instrument
several
weeks
ahead
time.
quality
resulting
factors
depend
strongly
samples
are
normalized.
Canada Communicable Disease Report,
Journal Year:
2024,
Volume and Issue:
50(3/4), P. 93 - 101
Published: April 30, 2024
Innovative
data
sources
and
methods
for
public
health
surveillance
(PHS)
have
evolved
rapidly
over
the
past
10
years,
suggesting
need
a
closer
look
at
scientific
maturity,
feasibility,
utility
of
use
in
real-world
situations.This
article
provides
an
overview
recent
innovations
PHS,
including
from
social
media,
internet
search
engines,
Internet
Things
(IoT),
wastewater
surveillance,
participatory
artificial
intelligence
(AI),
nowcasting.Examples
identified
suggest
that
novel
analytic
potential
to
strengthen
PHS
by
improving
disease
estimates,
promoting
early
warning
outbreaks,
generating
additional
and/or
more
timely
information
action.For
example,
has
re-emerged
as
practical
tool
detection
coronavirus
2019
(COVID-19)
other
pathogens,
AI
is
increasingly
used
process
large
amounts
digital
data.Challenges
implementing
include
lack
limited
examples
implementation
settings,
privacy
security
risks,
equity
implications.Improving
governance,
developing
clear
policies
technologies,
workforce
development
are
important
next
steps
towards
advancing
innovation
PHS.
Applied Research,
Journal Year:
2024,
Volume and Issue:
3(5)
Published: March 5, 2024
Abstract
The
prevalence
of
coronavirus
disease
2019
(Covid‐19)
in
the
community
has
become
more
difficult
to
gauge
utilizing
clinical
testing
due
a
decrease
reported
test
results
stemming
from
availability
at‐home
kits
and
reduction
number
cases
seeking
medical
treatment.
purpose
this
study
was
examine
trend
diminishing
correlation
between
Covid‐19
wastewater‐based
surveillance
epidemiological
data
as
home
became
available
Eastern
Upper
Peninsula
Michigan.
Wastewater
grab
samples
were
collected
weekly
16
regional
locations
June
2021
December
2022.
Samples
analyzed
for
severe
acute
respiratory
syndrome
2
(SARS‐CoV‐2)
N1
N2
viral
particles
using
reverse
transcriptase
digital
droplet
polymerase
chain
reaction
(RT
ddPCR).
gene
copies
correlated
with
cases.
t
used
determine
deterioration
point.
Clinical
postdeterioration
calculated
high‐correlated
predeterioration
linear
regression.
Correlation
SARS‐CoV‐2
deteriorated
after
February
1,
This
corresponds
timeframe
which
commercially
United
States.
increase
likely
contributed
positive
tests
early
2022,
providing
an
unrealistic
picture
presence
community.
As
measures
reduce
exposure
such
personal
masking,
testing,
social
isolating,
quarantining
continue
decline,
wastewater
may
be
best
method
public
health
professionals
remain
aware
virus
dynamics
localized
regions.
Time‐series
modeling
adds
another
layer
information
when
is
unobtainable
or
underreported.
Healthcare,
Journal Year:
2024,
Volume and Issue:
12(19), P. 2002 - 2002
Published: Oct. 7, 2024
Background/Objective:
The
purpose
of
this
study
was
to
investigate
the
impact
COVID-19
pandemic
on
mortality
rates
in
a
community-dwelling
spinal
cord
injury
(SCI)
population
Ontario.
Methods:
Using
health
administrative
databases,
monthly
were
evaluated
pre-pandemic,
during
pandemic,
and
post-pandemic
from
March
2014
May
2024.
Data
stratified
by
sex,
etiology,
mental
status.
Group
differences
using
t-tests.
Autoregressive
integrated
moving
average
(ARIMA)
models
pandemic’s
rates.
Results:
A
significant
increase
21.4%
found
for
SCI
cohort.
With
exception
traumatic
group,
all
subgroups
also
experienced
(males:
13.9%,
females:
31.9%,
non-traumatic:
32.3%,
diagnoses:
19.6%,
29.4%).
During
females
had
significantly
higher
rate
than
males.
non-traumatic
group
at
time
periods.
Individuals
with
diagnoses
those
without
pre-pandemic
Conclusions:
variation
across
groups
highlights
inequitable
access
medical
care
population,
further
research
interventions
needed.
Vaccines,
Journal Year:
2024,
Volume and Issue:
12(12), P. 1381 - 1381
Published: Dec. 7, 2024
Background:
The
emergence
of
new
COVID-19
variants
continues
to
affect
healthcare
workers
(HCWs)
and
vulnerable
populations
in
the
post-pandemic
era.
This
study
aims
assess
willingness,
perceptions,
factors
associated
with
booster
vaccine
uptake
this
context.
Methods:
A
cross-sectional
was
conducted
between
October
2023
May
2024
among
Thai
adults
(>20
years
old)
Chiang
Mai,
Northern
Thailand.
Participants
included
HCWs
patients
chronic
medical
conditions.
People
who
had
received
a
monovalent
XBB-derived
were
excluded.
Results:
Data
related
total
811
participants
analyzed,
328
from
group
483
HCWs.
Willingness
receive
similar
both
groups
(43.3%
HCWs,
45.0%
group).
Low-risk
perception
(59.6%–83.5%),
minimal
impact
on
daily
life
(60.4%–62.9%),
doubts
about
efficacy
(75.9%–81.4%)
prevalent
negative
thoughts
toward
booster.
Having
flu
(aOR
2.1),
concerns
1.8),
beliefs
safety
1.8)
effectiveness
against
severe
disease
2.7)
increased
willingness.
Conclusions:
Only
44%
willing
Policymakers
can
use
these
insights
develop
strategies
increase
