Human viral nucleic acids concentrations in wastewater solids from Central and Coastal California USA
Scientific Data,
Год журнала:
2023,
Номер
10(1)
Опубликована: Июнь 22, 2023
Abstract
We
measured
concentrations
of
SARS-CoV-2,
influenza
A
and
B
virus,
respiratory
syncytial
virus
(RSV),
mpox
human
metapneumovirus,
norovirus
GII,
pepper
mild
mottle
nucleic
acids
in
wastewater
solids
at
twelve
treatment
plants
Central
California,
USA.
Measurements
were
made
daily
for
up
to
two
years,
depending
on
the
plant.
using
digital
droplet
(reverse-transcription–)
polymerase
chain
reaction
(RT-PCR)
following
best
practices
making
environmental
molecular
biology
measurements.
These
data
can
be
used
better
understand
disease
occurrence
communities
contributing
wastewater.
Язык: Английский
Introduction to WBE case estimation: A practical toolset for public health practitioners
The Science of The Total Environment,
Год журнала:
2025,
Номер
980, С. 179487 - 179487
Опубликована: Апрель 28, 2025
Язык: Английский
Academic institution extensive, building-by-building wastewater-based surveillance platform for SARS-CoV-2 monitoring, clinical data correlation, and potential national proxy
PLOS Global Public Health,
Год журнала:
2025,
Номер
5(5), С. e0003756 - e0003756
Опубликована: Май 9, 2025
In
this
work,
we
report
on
the
performance
of
an
extensive,
building-by-building
wastewater
surveillance
platform
deployed
across
38
locations
largest
private
university
system
in
Mexico,
spanning
19
32
states,
to
detect
SARS-CoV-2
genetic
materials
during
COVID-19
pandemic.
Sampling
took
place
weekly
from
January
2021
and
June
2022.
Data
343
sampling
sites
was
clustered
by
campus
state
evaluated
through
its
correlation
with
seven-day
average
daily
new
cases
each
cluster.
Statistically
significant
linear
correlations
(p-values
below
0.05)
were
found
25
campuses
13
states.
Moreover,
evaluate
effectiveness
epidemiologic
containment
measures
taken
institution
potential
as
representative
points
for
future
public
health
emergencies
Monterrey
Metropolitan
Area,
between
viral
loads
samples
be
stronger
Dulces
Nombres,
treatment
plant
city
(Pearson
coefficient:
0.6456,
p-value:
6.36710
−8
),
than
study
0.4860,
8.288x10
−5
).
However,
when
comparing
data
after
urban
mobility
returned
pre-pandemic
levels,
levels
both
became
comparable
(0.894
0.865
Nombres).
This
work
provides
a
basic
framework
implementation
analysis
similar
decentralized
platforms
address
sanitary
emergencies,
allowing
efficient
return
priority
in-person
activities
while
preventing
becoming
transmission
hotspots.
Язык: Английский
Data-driven estimation of the instantaneous reproduction number and growth rates for the 2022 monkeypox outbreak in Europe
PLoS ONE,
Год журнала:
2023,
Номер
18(9), С. e0290387 - e0290387
Опубликована: Сен. 13, 2023
Objective
To
estimate
the
instantaneous
reproduction
number
R
t
and
epidemic
growth
rates
for
2022
monkeypox
outbreaks
in
European
region.
Methods
We
gathered
daily
laboratory-confirmed
cases
most
affected
countries
from
beginning
of
outbreak
to
September
23,
2022.
A
data-driven
estimation
is
obtained
using
a
novel
filtering
type
Bayesian
inference.
phenomenological
model
coupled
with
sequential
approach
update
forecasts
over
time
used
obtain
time-dependent
several
countries.
Results
The
Spain,
France,
Germany,
UK,
Netherlands,
Portugal,
Italy.
At
early
phase
outbreak,
our
,
which
can
be
as
proxy
basic
0
was
2.06
(95%
CI
1.63
−
2.54)
2.62
2.23
3.17)
2.81
2.51
3.09)
1.82
1.52
2.18)
2.84
2.07
3.91)
1.13
0.99
1.32)
3.06
2.48
3.62)
Cumulative
these
present
subexponential
rather
than
exponential
dynamics.
Conclusions
Our
findings
suggest
that
current
limited
transmission
chains
human-to-human
secondary
infection
so
possibility
huge
pandemic
very
low.
Confirmed
are
decreasing
significantly
region,
decline
might
attributed
public
health
interventions
behavioral
changes
population
due
increased
risk
perception.
Nevertheless,
further
strategies
toward
elimination
essential
avoid
subsequent
evolution
virus
result
new
outbreaks.
Язык: Английский
Bayesian sequential approach to monitor COVID-19 variants through positivity rate from wastewater
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 11, 2023
Trends
in
COVID-19
infection
have
changed
throughout
the
pandemic
due
to
myriad
factors,
including
changes
transmission
driven
by
social
behavior,
vaccine
development
and
uptake,
mutations
virus
genome,
public
health
policies.
Mass
testing
was
an
essential
control
measure
for
curtailing
burden
of
monitoring
magnitude
during
its
multiple
phases.
However,
as
progressed,
new
preventive
surveillance
mechanisms
emerged.
Implementing
programs,
wastewater
(WW)
surveillance,
at-home
tests
reduced
demand
mass
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
testing.
This
paper
proposes
a
sequential
Bayesian
approach
estimate
positivity
rate
(PR)
using
SARS-CoV-2
RNA
concentrations
measured
WW
through
adaptive
scheme
incorporating
dynamics.
PR
estimates
are
used
compute
thresholds
data
CDC
low,
substantial,
high
transmission.
The
effective
reproductive
number
calculated
from
data.
provides
insights
into
dynamics
evolution
analytical
framework
that
combines
different
sources
continue
trends.
These
results
can
provide
guidance
reduce
future
outbreaks
variants
emerge.
proposed
modeling
applied
City
Davis
campus
University
California
Davis.
Язык: Английский
A mixed-effects model to predict COVID-19 hospitalizations using wastewater surveillance
Journal of environmental chemical engineering,
Год журнала:
2024,
Номер
12(2), С. 112485 - 112485
Опубликована: Март 12, 2024
During
the
COVID-19
pandemic,
many
countries
and
regions
investigated
potential
use
of
wastewater-based
disease
surveillance
as
an
early
warning
system.
Initially,
methods
were
created
to
detect
presence
SARS-CoV-2
RNA
in
wastewater.
Investigators
have
since
conducted
extensive
studies
examine
link
between
viral
concentration
wastewater
cases
areas
served
by
sewage
treatment
plants
over
time.
However,
only
a
few
reports
attempted
create
predictive
models
for
hospitalizations
at
county-level
based
on
concentrations
This
study
implemented
linear
mixed-effects
model
that
evaluates
association
levels
virus
hospitalizations.
The
was
then
utilized
predict
short-term
hospitalization
trends
21
counties
California
data
from
March
21,
2022,
May
2023.
modeling
framework
proposed
here
permits
repeated
measurements,
well
fixed
random
effects.
incorporated
input
variable
rather
than
or
test
positivity
rate
exhibited
robust
performance
effectively
captured
discernible
Additionally,
allows
prediction
SARS
CoV-2
two
weeks
ahead.
Forecasts
could
provide
crucial
information
hospitals
better
allocate
resources
prepare
surges
patient
numbers.
Язык: Английский
A Mixed-Effects Model to Predict COVID-19 Hospitalizations Using Wastewater Surveillance
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 16, 2023
Abstract
During
the
COVID-19
pandemic,
many
countries
and
regions
investigated
potential
use
of
wastewater-based
disease
surveillance
as
an
early
warning
system.
Initially,
methods
were
created
to
detect
presence
SARS-CoV-2
RNA
in
wastewater.
Investigators
have
since
conducted
extensive
studies
examine
link
between
viral
concentration
wastewater
cases
areas
served
by
sewage
treatment
plants
over
time.
However,
only
a
few
reports
attempted
create
predictive
models
for
hospitalizations
at
county-level
based
on
concentrations
This
study
implemented
linear
mixed-effects
model
that
observes
association
levels
virus
hospitalizations.
The
was
then
utilized
predict
short-term
hospitalization
trends
21
counties
California
data
from
March
21,
2022,
May
2023.
modeling
framework
proposed
here
permits
repeated
measurements
well
fixed
random
effects.
assumed
input
variable,
instead
or
test
positivity
rate,
showed
strong
performance
successfully
captured
Additionally,
allows
prediction
two
weeks
ahead.
Forecasts
could
provide
crucial
information
hospitals
better
allocate
resources
prepare
surges
patient
numbers.
Язык: Английский