Biology Methods and Protocols,
Год журнала:
2023,
Номер
8(1)
Опубликована: Янв. 1, 2023
Case
detection
through
contact
tracing
is
a
key
intervention
during
an
infectious
disease
outbreak.
However,
intensive
process
where
given
tracer
must
locate
not
only
confirmed
cases
but
also
identify
and
interview
known
contacts.
Often
these
data
are
manually
recorded.
During
emerging
outbreaks,
the
number
of
contacts
could
expand
rapidly
beyond
this,
when
focused
on
individual
transmission
chains,
larger
patterns
may
be
identified.
Understanding
if
particular
can
clustered
linked
to
common
source
help
prioritize
effects
understand
underlying
risk
factors
for
large
spreading
events.
Electronic
health
records
systems
used
by
vast
majority
private
healthcare
across
USA,
providing
potential
way
automatically
detect
outbreaks
connect
already
collected
data.
In
this
analysis,
we
propose
algorithm
case
clusters
within
community
outbreak
using
Bayesian
probabilistic
linking
explore
how
approach
supplement
responses;
especially
human
resources
limited.
The Science of The Total Environment,
Год журнала:
2024,
Номер
948, С. 174981 - 174981
Опубликована: Июль 23, 2024
Areas
of
dense
population
congregation
are
prone
to
experience
respiratory
virus
outbreaks.
We
monitored
wastewater
and
clinic
patients
for
the
presence
viruses
on
a
large,
public
university
campus.
Campus
sewer
systems
were
in
16
locations
using
next
generation
sequencing
over
22
weeks
2023.
During
this
period,
we
detected
surge
human
adenovirus
(HAdV)
levels
wastewater.
Hence,
initiated
clinical
surveillance
at
an
on-campus
from
presenting
with
acute
infection.
From
whole
genome
123
throat
and/or
nasal
swabs
collected,
identified
outbreak
HAdV,
specifically
HAdV-E4
HAdV-B7
genotypes
overlapping
time.
The
temporal
dynamics
proportions
HAdV
found
corroborated
infections.
tracked
specific
single
nucleotide
polymorphisms
(SNPs)
sequences
showed
that
they
arose
signals
concordant
time
presentation,
linking
community
transmission
outbreak.
This
study
demonstrates
how
wastewater-based
epidemiology
can
be
integrated
ambulatory
healthcare
settings
monitor
areas
outbreaks
provide
health
guidance.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Окт. 19, 2024
Abstract
Wastewater-based
epidemiology
has
been
used
in
pathogen
surveillance
for
microorganisms
at
the
community
level.
This
study
was
conducted
to
determine
occurrence
and
trends
of
infectious
pathogens
sewage
from
Yongin
city
relationships
between
these
incidence
diseases
community.
From
December
2022
November
2023,
we
collected
inflow
water
six
wastewater
treatment
plants
twice
a
month.
The
analyzed
included
15
respiratory
viruses,
7
pneumonia-causing
bacteria,
19
acute
diarrhea-causing
pathogens,
SARS-CoV-2,
Zika
virus,
hepatitis
A
poliovirus,
Mpox,
measles.
They
were
detected
through
real-time
PCR
conventional
PCR.
concentrations
9
among
them
additionally
using
quantitative
real
time
correlation
confirmed
statistical
analysis
with
rate
detection
reported
by
Korea
Disease
Control
Prevention
Agency.
Influenza
human
adenovirus,
rhinovirus
moderately
correlated
(rho
values
0.45
0.58).
Campylobacter
spp.
sapovirus
strong
0.62,
0.63).
Enteropathogenic
E.
coli
,
coronavirus,
norovirus
GII
very
0.86
0.92).
We
able
identify
prevalence
viral
infections,
pneumonia,
wastewater-based
data.
will
be
helpful
establishing
system
future
present
sewage.
Journal of Water and Health,
Год журнала:
2024,
Номер
22(11), С. 2171 - 2183
Опубликована: Окт. 18, 2024
ABSTRACT
The
emergence
of
COVID-19
in
2020
significantly
enhanced
the
application
wastewater
monitoring
for
detecting
SARS-CoV-2
circulation
within
communities.
From
October
2021
to
2022,
we
collected
406
samples
weekly
from
Córdoba
Central
Pipeline
Network
(BG-WWTP)
and
six
specific
sewer
manholes
sanitary
zones
(SZs).
Following
WHO
guidelines,
processed
detected
RNA
variants
using
real-time
PCR.
Monitoring
at
SZ
level
allowed
development
a
viral
activity
flow
map,
pinpointing
key
areas
tracking
its
temporal
spread
variant
evolution.
Our
findings
demonstrate
that
wastewater-based
surveillance
acts
as
sensitive
indicator
activity,
imminent
increases
cases
before
they
become
evident
clinical
data.
This
study
highlights
effectiveness
targeted
both
municipal
levels
identifying
hotspots
assessing
community-wide
circulation.
Importantly,
data
shows
environmental
studies
provide
valuable
insights
into
virus
presence,
independent
case
records,
offer
robust
tool
adapting
future
public
health
challenges.
Biology Methods and Protocols,
Год журнала:
2023,
Номер
8(1)
Опубликована: Янв. 1, 2023
Case
detection
through
contact
tracing
is
a
key
intervention
during
an
infectious
disease
outbreak.
However,
intensive
process
where
given
tracer
must
locate
not
only
confirmed
cases
but
also
identify
and
interview
known
contacts.
Often
these
data
are
manually
recorded.
During
emerging
outbreaks,
the
number
of
contacts
could
expand
rapidly
beyond
this,
when
focused
on
individual
transmission
chains,
larger
patterns
may
be
identified.
Understanding
if
particular
can
clustered
linked
to
common
source
help
prioritize
effects
understand
underlying
risk
factors
for
large
spreading
events.
Electronic
health
records
systems
used
by
vast
majority
private
healthcare
across
USA,
providing
potential
way
automatically
detect
outbreaks
connect
already
collected
data.
In
this
analysis,
we
propose
algorithm
case
clusters
within
community
outbreak
using
Bayesian
probabilistic
linking
explore
how
approach
supplement
responses;
especially
human
resources
limited.
