Pollution by Antimicrobials and Antibiotic Resistance Genes in East Africa: Occurrence, Sources, and Potential Environmental Implications
Miraji Hossein,
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Asha Ripanda
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Toxicology Reports,
Journal Year:
2025,
Volume and Issue:
14, P. 101969 - 101969
Published: Feb. 22, 2025
Language: Английский
Community case study: an academia-industry-government partnership that monitors and predicts outbreaks in Tri-County Detroit area since 2017
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 28, 2025
The
Tri-County
Detroit
Area
(TCDA)
is
the
12th
most
populous
metropolitan
area
in
United
States
with
over
three
million
people.
Multiple
communicable
diseases
are
endemic
TCDA.
In
2017,
to
explore
innovative
methods
that
may
provide
early
warnings
of
outbreaks
affecting
populations
TCDA,
an
exploratory
partnership
was
funded
by
a
U.S.
National
Science
Foundation
Early-concept
Grant
for
Exploratory
Research
(EAGER)
began.
Since
project
team
including
College
Engineering
at
Michigan
State
University
(MSU),
City
Detroit,
Great
Lakes
Water
Authority
(GLWA),
industry,
and
local
government
health
departments,
has
been
testing
municipal
wastewater
from
TCDA
survey
predict
surges
area.
This
ongoing
effort
started
years
before
wastewater-based
epidemiology
became
widespread
method
public
practice,
due
COVID-19
pandemic,
now
supported
Centers
Disease
Control
Prevention
(CDC).
work
led
significant
breakthroughs
field
surveillance/wastewater
epidemiology.
results
our
surveillance
efforts
used
assist
departments
their
understanding
response
issues
facilitating
messaging
awareness,
targeted
clinical
testing,
increased
vaccination
efforts.
Our
data
available
methodological
advancements
published
have
other
communities
nationwide
beyond.
paper
describes
partnership,
lessons
learned,
achievements,
provides
look
into
future.
successful
implementations
advocate
importance
frequent
communications
interactions
within
idea
generations
each
stakeholder
decision-making,
maintenance
scientific
rigor,
ethical
more.
Language: Английский
Strengthening Pathogen and Antimicrobial Resistance Surveillance by Environmental Monitoring in Sub-Saharan Africa: A Stakeholder Survey
Published: Feb. 5, 2024
Background:
Waterborne
diseases
pose
a
significant
global
public
health
threat,
compelling
enhanced
comprehensive
surveillance.
This
study
investigates
the
current
infectious
disease
and
antimicrobial
resistance
(AMR)
surveillance
systems,
including
wastewater
environmental
(WES),
in
three
sub-Saharan
African
countries:
Tanzania,
Burkina
Faso,
Democratic
Republic
of
Congo
(DRC).
The
countries
have
their
specificities
regarding
networks
logistic
systems.
So,
emphasizing
need
to
strengthen
existing
surveillance,
paper
advocates
for
incorporating
WES
systems
specifically
designed
countries'
context
monitor
waterborne
re-emerging
pathogens,
as
well
AMR.Methods:
National
workshops
were
conducted
assess
clinical
identify
priority
pathogens
new
monitoring.
Data
collected
through
surveys
from
experts
academia,
research,
policy,
healthcare.
Results:
Prioritized
include
(poliovirus,
Salmonella
Typhi,
Vibrio
cholerae),
respiratory
(influenza
A&B,
SARS-CoV-2),
other
(Measles
Rubella,
Mycobacterium
tuberculosis).
Recommended
AMR
drug-resistant
tuberculosis,
spp.,
methicillin-resistant
Staphylococcus
aureus,
extended-spectrum
beta-lactamase
carbapenemase-producing
E.
coli.
DRC
employ
DHSI2-based
centralized
electronic
data
collection,
complemented
by
Excel
paper-based
registries.
approach
is
commonly
employed
monitoring
poliovirus
rarely
pathogens.
Discussion
conclusions:
valuable
tool
early
detection
locally
circulating
human-derived
aiding
outbreak
detection,
data-driven
epidemic
response,
prevention.
availability
results
underscores
importance
effective
sanitation
safeguarding
human,
animal,
health.
pivotal
integrated
risk
management,
preventing
outbreaks,
protecting
drinking
water
sources,
ultimately
gaining
various
UN
Sustainable
Development
Goals.
highlights
customized
line
with
each
country's
context,
localized
approaches
AMR.
Language: Английский