Small-scale wastewater-based epidemiology (WBE) for infectious diseases and antibiotic resistance: A scoping review
International Journal of Hygiene and Environmental Health,
Journal Year:
2024,
Volume and Issue:
259, P. 114379 - 114379
Published: April 15, 2024
Wastewater
analysis
can
serve
as
a
source
of
public
health
information.
In
recent
years,
wastewater-based
epidemiology
(WBE)
has
emerged
and
proven
useful
for
the
detection
infectious
diseases.
However,
insights
from
wastewater
treatment
plant
do
not
allow
small-scale
differentiation
within
sewer
system
that
is
needed
to
analyze
target
population
under
study
in
more
detail.
Small-scale
WBE
offers
several
advantages,
but
there
been
no
systematic
overview
its
application.
The
aim
this
scoping
review
provide
comprehensive
current
state
knowledge
on
diseases,
including
methodological
considerations
A
database
search
was
conducted,
considering
only
peer-reviewed
articles.
Data
analyses
included
quantitative
summary
qualitative
narrative
synthesis.
Of
2130
articles,
we
278,
most
which
were
published
since
2020.
studies
analyzed
at
building
level
(n
=
203),
especially
healthcare
110)
educational
facilities
80),
neighborhood
scale
86).
main
analytical
parameters
viruses
178),
notably
SARS-CoV-2
161),
antibiotic
resistance
(ABR)
biomarkers
99),
often
by
polymerase
chain
reaction
(PCR),
with
DNA
sequencing
techniques
being
less
common.
terms
sampling
techniques,
active
dominated.
frequent
lack
detailed
information
specification
selection
criteria
characterization
sites
identified
concern.
conclusion,
based
large
number
studies,
overarching
strategic
aspects
WBE.
An
enabling
environment
requires
inter-
transdisciplinary
sharing
across
countries.
Promoting
adoption
will
benefit
common
international
conceptualization
approach,
standardized
internationally
accepted
terminology.
particular,
development
good
practices
different
warranted.
This
includes
establishment
guidelines
local
sub-sewersheds,
transparent
reporting
ensure
comparability
results.
Language: Английский
Impact of physicochemical parameters on nicotine metabolites and Bisphenol A in municipal wastewater: A pilot study in a German metropolitan area
Dennis Schmiege,
No information about this author
Amir Salemi,
No information about this author
Christian Högel
No information about this author
et al.
The Science of The Total Environment,
Journal Year:
2025,
Volume and Issue:
967, P. 178767 - 178767
Published: Feb. 12, 2025
Wastewater-based
epidemiology
(WBE)
is
a
promising
approach
for
assessing
population-level
exposures
to
toxicants
and
lifestyle
factors.
Our
pilot
investigated
the
spatial
variability
of
biomarkers
indicating
exposure
nicotine
endocrine
disrupting
chemicals
in
municipal
wastewater,
taking
into
account
important
covariates,
i.e.
physicochemical
wastewater
parameters
sewershed
characteristics.
We
also
tested
normalization
by
an
endogenous
population
marker.
Twenty-four-hour
composite
samples
(n
=
24)
were
collected
volume-proportional
manner
using
automated
samplers
from
four
treatment
plants
Essen,
Germany,
over
three
weeks
late
2023.
Substances
public
health
concern,
previously
already
quantified
expected
be
present
high
concentrations,
analyzed
SPE-LC-HRMS.
Concentrations
normalized
reported
(de
jure)
daily
mass
load
catecholamine
metabolite
vanillylmandelic
acid
(VMA)
as
proxy
de
facto
population.
Spatial
variations
multiple
linear
regression.
Nicotine
metabolites
(cotinine,
hydroxycotinine)
industrial
chemical
Bisphenol
A
(BPA)
quantifiable
all
samples.
The
population-normalized
(median
range:
0.6-1.6
g/d/1000
inh)
BPA
(2.5-4.0
varied
between
WWTPs,
but
observed
variation
disappeared
when
adjusting
temperature
(nicotine)
pH
(BPA).
Normalization
VMA
resulted
different
patterns
increased
variance
considerably.
findings
highlight
importance
characteristics
analyzing
community-wide
differences
factors
via
ensure
accurate
interpretations
underlying
drivers
these
differences.
Language: Английский
Tracking COVID-19 trends in communities with low population by wastewater-based surveillance
Aiswarya Rani Pappu,
No information about this author
Ashley Green,
No information about this author
Michael Oakes
No information about this author
et al.
The Science of The Total Environment,
Journal Year:
2025,
Volume and Issue:
970, P. 179007 - 179007
Published: March 1, 2025
Wastewater-based
surveillance
(WBS)
of
SARS-CoV-2
is
increasingly
recognized
as
a
valuable
complement
to
clinical
reporting
for
estimating
COVID-19
infection
rates.
This
acceptance
stems
from
the
strong
correlation
found
between
wastewater
and
case
data
during
early
stages
pandemic.
However,
cessation
restrictions,
changes
in
testing
requirements
by
late
2021,
widespread
use
take-home
antigen
tests
have
diminished
reliability
volume
clinically
reported
counts.
study
explores
dynamics
cases
wastewater-based
results
period
transition,
focusing
on
student
residential
areas
within
university
campus.
We
analyzed
13
sub-sewersheds,
serving
populations
300
4000
individuals,
three
times
weekly
December
2021
June
2022.
The
analysis
revealed
two
spikes
this
time,
whereas
reports
indicated
at
most
single
surge
infections
across
communities.
Further,
first
surge,
plateaued
sooner
than
trends
and,
second
either
lagged
or
were
completely
absent.
Correlations
concentrations
3-day
rolling
average
weak
smaller
communities
(≤1000
people)
but
improved
with
larger
community
sizes
(>1000
people).
Normalization
PMMoV
did
not
enhance
these
correlations.
Given
challenges
executing
accurate
mass
testing,
our
findings
advocate
efficacy
WBS
reliably
forecasting
surges,
even
less
populous
settings,
thereby
facilitating
swift,
informed
public
health
interventions.
Language: Английский
From Entry to Outbreak in a High School Setting: Clinical and Wastewater Surveillance of a Rare SARS-CoV-2 Variant
Viruses,
Journal Year:
2025,
Volume and Issue:
17(4), P. 477 - 477
Published: March 27, 2025
In
December
2021,
an
outbreak
of
the
SARS-CoV-2
B.1.640.2
variant,
potentially
originating
from
Cameroon,
was
investigated
among
schoolchildren
in
Germany.
The
index
case,
adult
who
had
recently
returned
a
three-week
stay
Republic
Congo,
introduced
variant
into
school
setting
via
their
children,
resulting
subsequent
transmission
within
and
ultimately
to
hospital
ward.
Whole-genome
sequencing
viral
samples
identified
both
B.1.640.1
lineages.
This
highlights
unpredictable
nature
emerging
variants
emphasizes
importance
early
detection
containment
mitigate
high-risk
populations.
Notably,
wastewater
surveillance
detected
during
study
peri-od,
reinforcing
utility
wastewater-based
epidemiology
as
complementary
tool
for
warning
novel
variants.
These
findings
underline
critical
need
timely
research
adherence
quarantine
measures
enhance
control
efforts.
Language: Английский
UnCoVar: a reproducible and scalable workflow for transparent and robust virus variant calling and lineage assignment using SARS-CoV-2 as an example
BMC Genomics,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: June 28, 2024
Abstract
Background
At
a
global
scale,
the
SARS-CoV-2
virus
did
not
remain
in
its
initial
genotype
for
long
period
of
time,
with
first
reports
variants
concern
(VOCs)
late
2020.
Subsequently,
genome
sequencing
has
become
an
indispensable
tool
characterizing
ongoing
pandemic,
particularly
typing
samples
obtained
from
patients
or
environmental
surveillance.
For
such
typing,
various
vitro
and
silico
workflows
exist,
yet
to
date,
no
systematic
cross-platform
validation
been
reported.
Results
In
this
work,
we
present
comprehensive
evaluation
workflows.
The
relies
on
dataset
54
patient-derived
sequenced
several
different
approaches
all
relevant
state-of-the-art
platforms.
Moreover,
UnCoVar,
robust,
production-grade
reproducible
workflow
that
outperforms
other
tested
terms
precision
recall.
Conclusions
many
ways,
pandemic
accelerated
development
techniques
analytical
approaches.
We
believe
can
serve
as
blueprint
dealing
future
pandemics.
Accordingly,
UnCoVar
is
easily
generalizable
towards
viral
pathogens
fully
automated
assembles
genomes
patient
samples,
identifies
existing
lineages,
provides
high-resolution
insights
into
individual
mutations.
includes
extensive
quality
control
automatically
generates
interactive
visual
reports.
implemented
Snakemake
workflow.
open-source
code
available
under
BSD
2-clause
license
at
github.com/IKIM-Essen/uncovar
.
Language: Английский
RiboSnake – a user-friendly, robust, reproducible, multipurpose and documentation-extensive pipeline for 16S rRNA gene microbiome analysis
Ann-Kathrin Dörr,
No information about this author
Josefa Welling,
No information about this author
Adrian Dörr
No information about this author
et al.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 8, 2024
Abstract
Background
Next-generation
sequencing
for
assaying
microbial
communities
has
become
a
standard
technique
in
recent
years.
However,
the
initial
investment
required
into
in-silico
analytics
is
still
quite
significant,
especially
facilities
not
focused
on
bioinformatics.
With
rapid
decline
costs
and
growing
adoption
of
sequencing-based
methods
number
fields,
validated,
fully
automated,
reproducible
yet
flexible
pipelines
will
play
greater
role
various
scientific
fields
future.
Results
We
present
RiboSnake,
QIIME2-based
analysis
pipeline
implemented
Snakemake
computational
16S
rRNA
gene
amplicon
data.
The
comes
with
pre-packaged
validated
parameter
sets,
optimized
different
sample
types.
sets
range
from
complex
environmental
samples
to
patient
configuration
packages
can
be
easily
adapted
shared,
requiring
minimal
user
input.
Conclusion
RiboSnake
new
alternative
researchers
employing
looking
customizable
user-friendly
microbiome
in-vitro
settings.
complete
generated
automated
based
types
significant
improvement
existing
methods.
workflow
repository
found
GitHub
(
https://github.com/IKIM-Essen/RiboSnake
).
Language: Английский
RiboSnake – a user-friendly, robust, reproducible, multipurpose and documentation-extensive pipeline for 16S rRNA gene microbiome analysis
Ann-Kathrin Dörr,
No information about this author
Josefa Welling,
No information about this author
Adrian Dörr
No information about this author
et al.
Gigabyte,
Journal Year:
2024,
Volume and Issue:
2024
Published: Aug. 31, 2024
Next-generation
sequencing
for
microbial
communities
has
become
a
standard
technique.
However,
the
computational
analysis
remains
resource-intensive.
With
declining
costs
and
growing
adoption
of
sequencing-based
methods
in
many
fields,
validated,
fully
automated,
reproducible
flexible
pipelines
are
increasingly
essential
various
scientific
fields.
Language: Английский