Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Июль 23, 2024
Introduction
Seasonal
influenza
generally
represents
an
underestimated
public
health
problem
with
significant
socioeconomic
implications.
Monitoring
and
detecting
epidemics
are
important
tasks
that
require
integrated
strategies.
Wastewater-based
epidemiology
(WBE)
is
emerging
field
uses
wastewater
data
to
monitor
the
spread
of
disease
assess
a
community.
It
can
represent
integrative
surveillance
tool
for
better
understanding
prevention
strategies
in
health.
Methods
We
conducted
study
detected
presence
Influenza
virus
RNA
using
wastewater-based
approach.
Samples
were
collected
from
five
treatment
plants
different
municipalities,
serving
cumulative
population
555,673
Sicilian
inhabitants
Italy.
used
RT-qPCR
test
compare
combined
weekly
average
A
B
viral
samples
incidence
Influenza-like
illness
(ILI)
obtained
Italian
national
system.
also
compared
number
positive
swabs
loads
wastewater.
Our
investigated
189
samples.
Results
Cumulative
ILI
cases
substantially
overlapped
load
trends
similar
rise
population.
Therefore,
confirmed
co-circulation
viruses
during
season
2022/2023,
trend
reported
clinically
cases.
Conclusion
does
not
replace
traditional
epidemiological
methods,
such
as
laboratory
testing
infected
individuals.
However,
it
be
valuable
complement
obtaining
additional
information
on
preventing
its
spread.
Diagnostics,
Год журнала:
2024,
Номер
14(15), С. 1598 - 1598
Опубликована: Июль 25, 2024
Digital
polymerase
chain
reaction
(dPCR)
has
emerged
as
a
groundbreaking
technology
in
molecular
biology
and
diagnostics,
offering
exceptional
precision
sensitivity
nucleic
acid
detection
quantification.
This
review
highlights
the
core
principles
transformative
potential
of
dPCR,
particularly
infectious
disease
diagnostics
environmental
surveillance.
Emphasizing
its
evolution
from
traditional
PCR,
dPCR
provides
accurate
absolute
quantification
target
acids
through
advanced
partitioning
techniques.
The
addresses
significant
impact
sepsis
diagnosis
management,
showcasing
superior
specificity
early
pathogen
identification
drug-resistant
genes.
Despite
advantages,
challenges
such
optimization
experimental
conditions,
standardization
data
analysis
workflows,
high
costs
are
discussed.
Furthermore,
we
compare
various
commercially
available
platforms,
detailing
their
features
applications
clinical
research
settings.
Additionally,
explores
dPCR's
role
water
microbiology,
wastewater
surveillance
monitoring
waterborne
pathogens,
underscoring
importance
public
health
protection.
In
conclusion,
future
prospects
including
methodological
optimization,
integration
with
innovative
technologies,
expansion
into
new
sectors
like
metagenomics,
explored.
The Science of The Total Environment,
Год журнала:
2022,
Номер
865, С. 161210 - 161210
Опубликована: Дек. 27, 2022
Wastewater-based
epidemiology
(WBE)
is
an
approach
with
the
potential
to
complement
clinical
surveillance
systems.
Using
WBE,
it
possible
carry
out
early
warning
of
a
outbreak,
monitor
spatial
and
temporal
trends
infectious
diseases,
produce
real-time
results
generate
representative
epidemiological
information
in
territory,
especially
areas
social
vulnerability.
Despite
historical
uses
this
approach,
particularly
Global
Polio
Eradication
Initiative,
for
other
pathogens,
was
during
COVID-19
pandemic
that
occurred
exponential
increase
environmental
programs
SARS-CoV-2
wastewater,
many
experiences
developments
field
public
health
using
data
decision
making
prioritizing
actions
control
pandemic.
In
Latin
America,
WBE
applied
heterogeneous
contexts
emphasis
on
populations
present
socio-environmental
inequalities,
condition
shared
by
all
American
countries.
This
manuscript
addresses
concepts
applications
actions,
as
well
different
countries,
discusses
model
implement
system
at
local
or
national
level.
We
emphasize
need
sentinel
countries
want
detect
entry
spread
new
pathogens
outbreaks
epidemics
agents
their
territories
PLoS ONE,
Год журнала:
2022,
Номер
17(10), С. e0274793 - e0274793
Опубликована: Окт. 14, 2022
Wastewater-based
epidemiology
(WBE)
surveillance
as
an
early
warning
system
(EWS)
for
monitoring
community
transmission
of
SARS-CoV-2
in
low-
and
middle-income
country
(LMIC)
settings,
where
diagnostic
testing
capacity
is
limited,
needs
further
exploration.
We
explored
the
feasibility
to
conduct
a
WBE
Indonesia,
one
global
epicenters
COVID-19
pandemic
middle
2021,
with
fourth
largest
population
world
sewer
non-sewered
sewage
systems
are
implemented.
The
resource
collect
samples
on
weekly
or
fortnightly
basis
grab
and/or
passive
sampling
methods,
well
qualitative
quantitative
identification
ribonucleic
acid
(RNA)
using
real-time
RT-PCR
(RT-qPCR)
environmental
were
explored.We
initiated
routine
wastewater
at
three
predetermined
districts
Special
Region
Yogyakarta
Province.
Water
collected
from
central
treatment
plants
(WWTPs),
including
manholes
flowing
WWTP,
additional
soil
near
source
tracking
(NST)
locations
(i.e.,
public
spaces
people
congregate).We
began
collecting
Delta
wave
Indonesia
July
2021.
From
10-week
period,
54%
(296/544)
positive
RNA.
sample
positivity
rate
decreased
proportion
reported
incidence
clinical
cases
community.
highest
77%
week
1,
was
obtained
2021
25%
10
by
end
September
2021.A
feasible
monitor
burden
infections.
Future
studies
potential
EWS
signaling
outbreaks
transmissions
this
setting
required.
The Science of The Total Environment,
Год журнала:
2022,
Номер
858, С. 159680 - 159680
Опубликована: Окт. 26, 2022
Wastewater-based
epidemiology
(WBE)
has
been
deployed
broadly
as
an
early
warning
tool
for
emerging
COVID-19
outbreaks.
WBE
can
inform
targeted
interventions
and
identify
communities
with
high
transmission,
enabling
quick
effective
responses.
As
the
wastewater
(WW)
becomes
increasingly
important
indicator
more
robust
methods
metrics
are
needed
to
guide
public
health
decision-making.
This
research
aimed
develop
implement
a
mathematical
framework
infer
incident
cases
of
from
SARS-CoV-2
levels
measured
in
WW.
We
propose
classification
scheme
assess
adequacy
model
training
periods
based
on
clinical
testing
rates
sensitivity
predictions
periods.
A
period
is
classified
adequate
when
rate
change
greater
than
cases.
present
Bayesian
deconvolution
linear
regression
estimate
WW
data.
The
reproductive
number
estimated
reconstructed
using
proposed
modeling
was
applied
three
Northern
California
served
by
distinct
treatment
plants.
results
showed
that
essential
provide
accurate
projections
incidence.
Antibiotics,
Год журнала:
2021,
Номер
10(11), С. 1362 - 1362
Опубликована: Ноя. 8, 2021
Essential
components
of
public
health
include
strengthening
the
surveillance
infectious
diseases
and
developing
early
detection
prevention
policies.
This
is
particularly
important
for
drug-resistant
tuberculosis
(DR-TB),
which
can
be
explored
by
using
wastewater-based
surveillance.
study
aimed
to
use
molecular
techniques
determine
occurrence
concentration
antibiotic-resistance
genes
(ARGs)
associated
with
(TB)
resistance
in
untreated
treated
wastewater.
Raw/untreated
(post-chlorination)
wastewater
samples
were
taken
from
three
treatment
plants
(WWTPs)
South
Africa.
The
ARGs
selected
target
drugs
used
first-
second-line
TB
treatment.
Both
conventional
polymerase
chain
reaction
(PCR)
more
advanced
droplet
digital
PCR
(ddPCR)
evaluated
as
strategies
distribution
ARGs.
most
abundant
ARG
was
rrs
gene,
aminoglycosides,
specifically
streptomycin,
median
ranges
4.69-5.19
log
copies/mL.
In
contrast,
pncA
drug
pyrazinamide,
least
detected
(1.59
2.27
copies/mL).
Resistance
bedaquiline
detected,
a
significant
finding
because
this
new
introduced
Africa
multi-drug
resistant
TB.
study,
therefore,
establishes
potential
monitoring
antibiotic
communities.
Environmental Science and Pollution Research,
Год журнала:
2023,
Номер
30(32), С. 79315 - 79334
Опубликована: Июнь 7, 2023
Abstract
Wastewater-based
epidemiology
has
been
widely
used
as
a
cost-effective
method
for
tracking
the
COVID-19
pandemic
at
community
level.
Here
we
describe
COVIDBENS,
wastewater
surveillance
program
running
from
June
2020
to
March
2022
in
treatment
plant
of
Bens
A
Coruña
(Spain).
The
main
goal
this
work
was
provide
an
effective
early
warning
tool
based
help
decision-making
both
social
and
public
health
levels.
RT-qPCR
procedures
Illumina
sequencing
were
weekly
monitor
viral
load
detect
SARS-CoV-2
mutations
wastewater,
respectively.
In
addition,
own
statistical
models
applied
estimate
real
number
infected
people
frequency
each
emerging
variant
circulating
community,
which
considerable
improved
strategy.
Our
analysis
detected
6
waves
with
concentrations
between
10
3
RNA
copies/L.
system
able
anticipate
outbreaks
during
8–36
days
advance
respect
clinical
reports
and,
emergence
new
variants
such
Alpha
(B.1.1.7),
Delta
(B.1.617.2),
Omicron
(B.1.1.529
BA.2)
42,
30,
27
days,
respectively,
before
did.
Data
generated
here
helped
local
authorities
managers
give
faster
more
efficient
response
situation,
also
allowed
important
industrial
companies
adapt
their
production
situation.
wastewater-based
developed
our
metropolitan
area
(Spain)
served
powerful
combining
monitoring
over
time.