Research agenda for transmission prevention within the Veterans Health Administration, 2024–2028
Infection Control and Hospital Epidemiology,
Год журнала:
2024,
Номер
45(8), С. 913 - 922
Опубликована: Апрель 11, 2024
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Язык: Английский
Multisite community-scale monitoring of respiratory and enteric viruses in the effluent of a nursing home and in the inlet of the local wastewater treatment plant
Applied and Environmental Microbiology,
Год журнала:
2024,
Номер
90(11)
Опубликована: Окт. 10, 2024
ABSTRACT
The
aim
of
this
study
was
to
evaluate
whether
community-level
monitoring
respiratory
and
enteric
viruses
in
wastewater
can
provide
a
comprehensive
picture
local
virus
circulation.
Wastewater
samples
were
collected
weekly
at
the
treatment
plant
(WWTP)
inlet
outlet
nearby
nursing
home
(NH)
Burgundy,
France,
during
winter
period
2022/2023.
We
searched
for
pepper
mild
mottle
as
an
indicator
fecal
content
well
main
[severe
acute
syndrome
coronavirus
2
(SARS-CoV-2),
influenza,
syncytial
virus]
(rotavirus,
sapovirus,
norovirus,
astrovirus,
adenovirus).
Samples
analyzed
using
real-time
reverse
transcription
PCR-based
methods.
SARS-CoV-2
most
frequently
detected
virus,
with
66.7%
positive
from
WWTP
28.6%
NH.
Peaks
consistent
chronological
incidence
infections
recorded
sentinel
surveillance
hospital
databases.
number
lower
NH
than
three
viruses.
Enteric
detected,
often
sapovirus
norovirus
genogroup
II,
accounting
both
77.8%
57.1%
37%,
respectively,
large
circulation
unexpected
particular
Combined
simple
optimized
methods
be
valuable
tool
viral
may
serve
suitable
early
warning
system
identifying
outbreaks
onset
epidemics.
These
results
encourage
application
wastewater-based
(WBS)
SARS-CoV2,
sapovirus.
IMPORTANCE
WBS
provides
information
on
spread
epidemic
environment
appropriate
sensitive
detection
By
PCR
retirement
(connected
same
collective
sewer
network),
we
aimed
demonstrate
that
implementing
combined
key
community
sites
allows
effective
occurrence
(influenza,
SARS-CoV-2)
(norovirus,
rotavirus,
sapovirus)
within
given
population.
This
analysis
localized
scale
provided
new
two
different
sites.
Implementing
monitor
or
emergence
infectious
diseases
is
important
means
alerting
authorities
improving
public
health
management.
could
participate
actively
humans,
animals,
environment.
Язык: Английский
Statistical relationship between wastewater data and case notifications for COVID-19 surveillance in the United States, 2020-2023: a Bayesian hierarchical model.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 21, 2024
Abstract
During
the
COVID-19
pandemic
a
number
of
jurisdictions
in
United
States
began
to
regularly
report
levels
SARS-CoV-2
wastewater
for
use
as
proxy
incidence.
Despite
promise
this
approach
improving
situational
awareness,
degree
which
viral
track
with
other
outcome
data
has
varied,
and
better
evidence
is
needed
understand
situations
surveillance
tracks
closely
traditional
data.
In
study,
we
quantified
relationship
between
case-based
multiple
jurisdictions.
To
do
so,
collated
on
RNA
case
reports
from
July
2020
March
2023,
employed
Bayesian
hierarchical
regression
modeling
estimate
statistical
reported
cases,
allowing
variation
across
counties.
We
compared
different
model
structural
approaches
assessed
how
strength
estimated
relationships
varied
settings
over
time.
These
analyses
revealed
strong
positive
cases
majority
locations,
median
correlation
coefficient
observed
predicted
0.904
(interquartile
range
0.823
–
0.943).
Across
rate
associated
given
level
concentration
declined
study
period.
Counties
higher
population
size
urbanicity
had
stronger
concordance
cases.
Ideally,
decision-making
should
be
based
an
understanding
their
local
historical
performance.
Язык: Английский
Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States, 2020-2023: A Bayesian Hierarchical Model (Preprint)
JMIR Public Health and Surveillance,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 1, 2024
During
the
COVID-19
pandemic,
several
US
jurisdictions
began
to
regularly
report
levels
of
SARS-CoV-2
in
wastewater
as
a
proxy
for
incidence.
Despite
promise
this
approach
improving
situational
awareness,
degree
which
surveillance
data
agree
with
other
has
varied,
and
better
evidence
is
needed
understand
situations
track
closely
traditional
data.
In
study,
we
quantified
statistical
relationship
between
case-based
multiple
jurisdictions.
We
collated
on
RNA
case
reports
from
July
2020
March
2023
107
counties
representing
range
terms
geographic
location,
population
size,
urbanicity.
For
these
counties,
used
Bayesian
hierarchical
regression
modeling
estimate
reported
cases,
allowing
variation
across
counties.
compared
different
model
structural
approaches
assessed
how
strength
estimated
relationships
varied
settings
over
time.
Our
analyses
revealed
strong
positive
cases
majority
locations,
median
correlation
coefficient
observed
predicted
0.904
(IQR
0.823-0.943).
total,
23/107
(21.5%)
had
coefficients
below
0.8,
3/107
(2.8%)
values
0.6.
Across
rate
associated
given
level
concentration
declined
study
period.
Counties
greater
size
(P<.001)
higher
urbanicity
stronger
concordance
cases.
Measures
fit,
were
robust
sensitivity
time
period
analysis
sample
fitting.
close
found
be
where
routine
are
less
reliable,
may
local
incidence
trends.
Язык: Английский