International Journal of Economic Business Accounting Agriculture Management and Sharia Administration (IJEBAS),
Год журнала:
2022,
Номер
2(6), С. 1179 - 1193
Опубликована: Дек. 24, 2022
Social
environmental
disasters
such
as
natural
are
events
that
have
a
negative
impact
on
people's
lives.
The
coronavirus
pandemic
disease
(Covid-19)
is
one
of
them.
effect
Covid-19
has
given
society
to
lose
its
material
and
non-material
properties.
Banda
Aceh
City
the
affected
areas
due
distribution
COVID-19.
economic
sector
sectors
most
by
pandemic.
Micro,
Small
Medium
Enterprises
(SMEs)
survived
saved
Indonesian
economy
even
during
monetary
crisis
in
1998.
Even
so,
MSMEs
experienced
difficulties
facing
Based
data
from
1,785
cooperatives
163,713
Corona
virus
(COVID-19).
Most
COVID-19
involved
primary
needs,
food
drink.
Government
issued
social
distancing
policy
reduce
spread
However,
this
research
tries
look
at
what
factors,
levels,
strategies
affect
vulnerability
Covid
-19
period.
In
end,
socio-environmental
been
analyzed
relation
educational
aspects.
Sustainable Cities and Society,
Год журнала:
2024,
Номер
104, С. 105301 - 105301
Опубликована: Фев. 23, 2024
Numerous
studies
have
explored
influencing
factors
in
COVID-19,
yet
empirical
evidence
on
spatiotemporal
dynamics
of
COVID-19
inequalities
concerning
both
socioeconomic
and
environmental
at
an
intra-urban
scale
is
lacking.
This
study,
therefore,
focuses
neighborhood-level
spatial
the
incidences
relation
to
for
Berlin-Neukölln,
Germany,
covering
six
pandemic
periods
(March
2020
December
2021).
Spatial
Bayesian
negative
binomial
mixed-effect
models
were
employed
identify
risk
patterns
different
periods.
We
identified
that
(1)
relative
risks
varied
across
time
space,
with
sociodemographic
exerting
a
stronger
influence
over
features;
(2)
as
most
predictors,
population
migrant
backgrounds
was
positively
associated,
65
negatively
associated
incidence;
(3)
certain
neighborhoods
consistently
faced
elevated
incidence.
study
highlights
potential
structural
health
within
communities,
lower
status
higher
incidence
diverse
Our
findings
indicate
locally
tailored
interventions
citizens
are
essential
address
foster
more
sustainable
urban
environment.
Frontiers in Public Health,
Год журнала:
2025,
Номер
13
Опубликована: Янв. 30, 2025
Background
Public
health
policy
evaluation
is
crucial
for
improving
outcomes,
optimizing
healthcare
resource
allocation,
and
ensuring
fairness
transparency
in
decision-making.
With
the
rise
of
big
data,
traditional
methods
face
new
challenges,
requiring
innovative
approaches.
Methods
This
article
reviews
principles,
scope,
limitations
public
explores
application
machine
learning
evaluating
policies.
It
analyzes
specific
steps
applying
provides
practical
examples.
The
challenges
discussed
include
model
interpretability,
data
bias,
continuation
historical
inequities,
privacy
concerns,
while
proposing
ways
to
better
apply
context
data.
Results
Machine
techniques
hold
promise
overcoming
some
methods,
offering
more
precise
evaluations
However,
such
as
lack
perpetuation
concerns
remain
significant.
Discussion
To
address
these
suggests
integrating
data-driven
theory-driven
approaches
improve
developing
multi-level
strategies
reduce
bias
mitigate
through
technical
safeguards
legal
frameworks,
employing
validation
benchmarking
enhance
robustness
reproducibility.
Frontiers in Cardiovascular Medicine,
Год журнала:
2024,
Номер
11
Опубликована: Июнь 25, 2024
Objective
This
study
aims
to
apply
different
machine
learning
(ML)
methods
construct
risk
prediction
models
for
pulmonary
embolism
(PE)
in
hospitalized
patients,
and
evaluate
compare
the
predictive
efficacy
clinical
benefit
of
each
model.
Methods
We
conducted
a
retrospective
involving
332
participants
(172
PE
positive
cases
160
negative
cases)
recruited
from
Guangdong
Medical
University.
Participants
were
randomly
divided
into
training
group
(70%)
validation
(30%).
Baseline
data
analyzed
using
univariate
analysis,
potential
independent
factors
associated
with
further
identified
through
multivariate
logistic
regression
analysis.
Six
ML
models,
namely
Logistic
Regression
(LR),
Decision
Tree
(DT),
Random
Forest
(RF),
Naive
Bayes
(NB),
Support
Vector
Machine
(SVM),
AdaBoost
developed.
The
model
was
compared
receiver
operating
characteristic
(ROC)
curve
analysis
area
under
(AUC).
Clinical
assessed
decision
(DCA).
Results
lower
extremity
deep
venous
thrombosis,
elevated
D-dimer,
shortened
activated
partial
prothrombin
time,
increased
red
blood
cell
distribution
width
as
PE.
Among
six
RF
achieved
highest
AUC
0.778.
Additionally,
DCA
consistently
indicated
that
offered
greatest
benefit.
Conclusion
developed
exhibiting
identification
occurrence
patients.
Land,
Год журнала:
2022,
Номер
11(11), С. 2041 - 2041
Опубликована: Ноя. 14, 2022
Batu
City
in
East
Java
has
a
thriving
tourist
area,
which
is
not
exempt
from
disaster
susceptibility
and
economic
vulnerability.
These
weaknesses
have
led
to
the
strengthening
of
resilience
system
becoming
priority
terms
government’s
risk
reduction.
The
main
objective
this
study
improve
management
through
reinforcement
reduction
instrument,
can
alertness
mitigation
capability
DRR.
This
research
analyzed
levels
five
disasters—flood,
landslide,
drought,
land
fire,
COVID-19—using
quantitative
method
with
panel
data
survey
questionnaire.
influence
variable
was
susceptibility,
quantified
vulnerability
ArcGIS
ILWIS
analysis
generate
rate.
Economic
using
static
STATA/R,
generated
index.
results
indicate
that
there
are
villages
high
level
category,
three
moderate
another
sixteen
villages/urban
low
category.
Furthermore,
found
local
significantly
influenced
by
disasters
discussed
research.
