Integrative strategies for zoonotic disease surveillance: A review of one health implementation in the United States
Olumuyiwa Tolulope Ojeyinka,
No information about this author
Toritsemogba Tosanbami Omaghomi
No information about this author
World Journal of Biology Pharmacy and Health Sciences,
Journal Year:
2024,
Volume and Issue:
17(3), P. 075 - 086
Published: March 9, 2024
Zoonotic
diseases
pose
significant
public
health
threats
worldwide,
highlighting
the
need
for
effective
surveillance
strategies.
The
One
Health
approach,
which
recognizes
interconnection
between
human,
animal,
and
environmental
health,
has
gained
traction
as
a
comprehensive
framework
addressing
zoonotic
disease
surveillance.
This
review
explores
integrative
strategies
in
United
States,
focusing
on
implementation
of
principles.
examines
collaborative
efforts
human
animal
sectors,
agencies,
other
relevant
stakeholders
implementing
It
highlights
importance
data
sharing,
communication,
coordination
among
these
sectors
to
enhance
early
detection,
rapid
response,
control
diseases.
Key
findings
include
establishment
cross-sectoral
systems,
such
National
Notifiable
Diseases
Surveillance
System
(NNDSS)
Animal
Monitoring
(NAHMS),
facilitate
collection
analysis
data.
These
systems
enable
identification
emerging
targeted
interventions
mitigate
risks.
also
discusses
role
technology,
geographic
information
(GIS)
molecular
epidemiology,
enhancing
tools
visualization
patterns
tracking
transmission
pathways,
aiding
development
Challenges
limited
resources,
fragmented
regulatory
barriers.
Addressing
challenges
requires
increased
investment
infrastructure,
capacity
building,
policy
support
integrated
approaches.
Overall,
this
underscores
continued
collaboration
innovation
effectiveness
States.
Language: Английский
Wildlife as sentinels for emerging zoonotic diseases: A review of surveillance systems in the USA
Olumuyiwa Tolulope Ojeyinka,
No information about this author
Toritsemogba Tosanbami Omaghomi
No information about this author
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(3), P. 768 - 776
Published: March 11, 2024
Wildlife
plays
a
crucial
role
as
sentinels
for
emerging
zoonotic
diseases,
serving
early
indicators
of
potential
threats
to
human
and
animal
health.
This
review
examines
the
surveillance
systems
in
USA
that
utilize
wildlife
presence
pathogens.
The
focuses
on
methodologies,
challenges,
implications
these
systems.
In
USA,
diseases
is
primarily
conducted
through
passive
surveillance,
where
carcasses
are
collected
tested
Additionally,
active
programs
target
specific
species
known
host
pathogens
or
may
be
close
contact
with
humans
domestic
animals.
These
efforts
complemented
by
use
sentinel
species,
such
birds
bats,
which
monitored
signs
disease
could
indicate
Challenges
include
vast
geographic
range
many
making
it
difficult
sample
populations
comprehensively.
diversity
habitats
presents
logistical
challenges
efforts.
Furthermore,
there
related
data
sharing
coordination
among
agencies
responsible
public
health
policy
practice
significant.
Early
detection
can
lead
timely
interventions,
vaccination
campaigns
changes
land
practices
reduce
human-wildlife
contact.
Moreover,
inform
development
predictive
models
outbreaks,
enabling
more
effective
preparedness
response
measures.
conclusion,
critical
monitoring
USA.
Continued
investment
research
essential
enhance
our
understanding
dynamics
improve
ability
protect
Language: Английский
Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices
Olabisi Oluwakemi Adeleye,
No information about this author
Chima Abimbola Eden,
No information about this author
Idowu Sulaimon Adeniyi
No information about this author
et al.
World Journal of Advanced Engineering Technology and Sciences,
Journal Year:
2024,
Volume and Issue:
11(2), P. 069 - 079
Published: March 13, 2024
Artificial
intelligence
(AI)
is
revolutionizing
the
field
of
education,
offering
new
opportunities
to
enhance
learning
experiences
and
promote
inclusive
educational
practices.
This
review
explores
impact
AI
on
teaching
methodologies
its
role
in
creating
environments.
By
examining
current
research
practices,
this
highlights
potential
address
diverse
needs
equity
education.The
begins
by
discussing
personalized
learning,
where
algorithms
analyze
student
data
provide
tailored
instruction
feedback.
approach
allows
educators
cater
individual
styles
preferences,
ensuring
that
all
students
have
access
high-quality
education.
Additionally,
AI-driven
adaptive
systems
can
identify
gaps,
providing
targeted
interventions
support
who
may
be
struggling.
Furthermore,
use
facilitating
collaborative
environments,
work
together
projects
tasks.
technologies
collaboration
tools
for
communication,
coordination,
knowledge
sharing.
promotes
inclusivity
allowing
contribute
their
unique
perspectives
skills
group
projects.
The
also
discusses
promoting
accessibility
with
disabilities.
AI-powered
assistive
additional
accommodations,
disabilities
fully
participate
activities.
captioning
translation
improve
are
deaf
or
hard
hearing,
as
well
those
speak
languages
other
than
primary
language
instruction.
Overall,
transformative
education
ability
leveraging
technologies,
create
more
personalized,
collaborative,
accessible
opportunity
succeed.
Language: Английский
Artificial intelligence and corporate ESG performance
International Review of Economics & Finance,
Journal Year:
2024,
Volume and Issue:
96, P. 103713 - 103713
Published: Nov. 1, 2024
The role of AI-enhanced tools in overcoming socioeconomic barriers in education: A conceptual analysis
Chima Abimbola Edeni,
No information about this author
Olabisi Oluwakemi Adeleye,
No information about this author
Idowu Sulaimon Adeniyi
No information about this author
et al.
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(3), P. 944 - 951
Published: March 12, 2024
This
conceptual
analysis
explores
the
transformative
potential
of
AI-enhanced
tools
in
addressing
socioeconomic
barriers
within
educational
landscape.
By
leveraging
artificial
intelligence
(AI)
technologies,
paper
aims
to
examine
how
such
can
mitigate
disparities
arising
from
economic,
social,
and
cultural
factors.
Through
a
critical
analysis,
it
seeks
elucidate
role
AI
promoting
equitable
access,
enhancing
learning
outcomes,
fostering
inclusivity
education.
The
executive
summary
encapsulates
essence
analysis.
It
provides
concise
overview
paper's
objectives,
methodology,
expected
implications.
In
recent
years,
intersection
education
has
garnered
significant
attention
as
solution
address
persistent
outlines
imperative
explore
serve
agents
mitigating
educators
policymakers
have
opportunity
revolutionize
traditional
practices
foster
more
inclusive
environments.
highlights
urgent
need
across
diverse
backgrounds.
existing
literature,
case
studies,
empirical
research,
bridge
digital
divide
advance
equity.
emphasizes
importance
identifying
actionable
strategies
best
for
technology
systemic
inequalities
Language: Английский
Leveraging FinTech Innovations for Sustainable and Social Finance: A Comprehensive Analysis of Their Contributions to Social Impact Investment
Emerald Publishing Limited eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 245 - 264
Published: March 10, 2025
Language: Английский
AI Powered Gamification: The New Catalyst in the Arena of Online Investment Platforms Impacting Behavioral Intentions
International Journal of Human-Computer Interaction,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 17
Published: April 7, 2025
Language: Английский
Corporate investment in artificial intelligence: The role of GDP, ICT exports, and patents
Journal of Economics and Management,
Journal Year:
2024,
Volume and Issue:
46, P. 613 - 636
Published: Jan. 1, 2024
Aim/purpose
–
Despite
the
widespread
use
of
artificial
intelligence
(AI)
in
fields
as
diverse
finance,
healthcare,
and
education,
little
is
known
about
factors
motivating
its
financing.
This
study
investigates
drivers
influencing
corporate
investment
AI
using
global
data
from
2013
to
2022,
focusing
on
relationship
between
GDP
growth,
ICT
goods
exports,
patent
applications
(AIPA),
regulatory
quality
with
investments.
Design/methodology/approach
Descriptive
statistics
ordinary
least
squares
method
were
employed
analyze
aggregated
data,
identifying
patterns
rela-
tionships
among
investment.
Findings
The
findings
reveal
a
significant
positive
AIPA,
Conversely,
was
negative
but
not
statistically
significant.
Thus,
key
our
suggest
that
economic
pa-
tents,
technological
advancements
are
Research
implications
suggests
policymakers
should
prioritize
national
enhance
IT
ecosystem
by
promoting
en-
courage
innovation
through
patents.
Collaboration
legislators
essential
develop
balanced
regulations
minimize
impacts
financ-
ing.
By
strategically
aligning
investments
favorable
conditions,
busi-
nesses
can
drive
sustainable
respond
evolving
market
demands
effectively,
secure
long-term
financial
stability.
Originality/value/contribution
existing
literature
contains
information
current
state
potential
for
development
world
specific
nation.
tries
explore
determinants
influ-
encing
obtain
comprehensive
understanding
this
industry
growth.
Keywords:
intelligence,
AI,
investment,
GDP,
ICT,
quality.
JEL
Classification:
F30,
F62,
F63,
F65.
Language: Английский
The Role of Artificial Intelligence in Promoting the Environmental, Social and Governance (ESG) Practices
Mushtaq Taleb,
No information about this author
Hussein Jawad Kadhum
No information about this author
Lecture notes in networks and systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 256 - 279
Published: Jan. 1, 2024
Language: Английский
AI in Finance: Innovative Approaches for Sustainable Business Models
E-conom,
Journal Year:
2024,
Volume and Issue:
13(2), P. 98 - 118
Published: Oct. 26, 2024
Artificial
Intelligence
(AI)
is
increasingly
recognized
as
a
transformative
force
driving
sus-tainable
business
innovation
in
the
financial
sector.
This
study
conducts
methodological
meta-analysis
of
existing
research
to
examine
AI’s
role
advan-cing
sustainable
finance.
By
systematically
reviewing
and
synthesizing
literature
from
peer-reviewed
journals,
industry
reports,
academic
sources,
this
focuses
on
AI
applications
such
machine
learn-ing
neural
networks
that
support
environmental,
social,
governance
(ESG)
objec-tives.
Key
include
AI-driven
forecasting,
risk
management,
auto-mated
reporting
systems
enhance
transparency
facilitate
green
finance
initiatives.
Each
selected
was
rigorously
evaluated
for
quality
relevance
ensure
robust
findings.
The
analysis
identifies
recurring
themes,
challenges,
gaps
current
literature,
with
an
emphasis
ethical
considerations
regula-tory
compliance.
provides
insights
into
how
can
improve
decision-making
processes
by
integrat-ing
sustainability
indicators,
thus
fostering
long-term
value
creation
findings
underscore
strategic
importance
achieving
goals
offer
foundation
future
inno-vation
JEL-codes:
O33,
C18,
G21,
Q01,
D83
Language: Английский