Texila international journal of public health,
Journal Year:
2023,
Volume and Issue:
11(3)
Published: Sept. 29, 2023
Plagiarism
is
the
use
or
close
imitation
of
language
and
ideas
another
author
representation
them
as
one's
own
original
work.Duplicate
publication,
sometimes
called
self-plagiarism,
occurs
when
an
reuses
substantial
parts
his
her
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: March 14, 2024
In
the
context
of
sustainable
human
development,
safety
has
gradually
shifted
from
traditional
state
and
political
conflict
to
social
horizontal
inequality,
pandemic
exacerbated
this
variation
risk.
This
narrative
review
includes
literature
40
countries
on
five
continents
since
2020,
explored
tidy
up
impacts
pandemics
based
three
perspectives:
personal
safety,
family
refined
macroscopic
concept
safety.
The
comprehensibility
global
conclusions
is
enhanced
by
combining
it
with
Maslow’s
hierarchy
needs.
Finally,
some
novel
comparative
results
are
included
broaden
understanding
impact
pandemic,
help
policymaker
better
understand
changes
a
new
perspective.
Frontiers in Sustainable Tourism,
Journal Year:
2024,
Volume and Issue:
3
Published: May 2, 2024
Theme
parks,
as
indispensable
commodities
within
the
tourism
industry,
wield
significant
influence
in
fostering
local
and
national
economic
development.
However,
despite
their
crucial
role,
there
remains
a
dearth
of
comprehensive
research
concerning
determinants
theme
park
visits.
Employing
THEMEQUAL
scale,
this
study
uses
an
ordered
logit
model
in-depth
interview
method
to
investigate
effects
service
quality
on
visitors'
sustainable
visit
intentions
(SVIs).
The
results
show
that
is
most
pivotal
determinant
shaping
SVIs
are
moderated
by
COVID-19,
i.e.,
reduced
emphasis
bolstering
inclinations
during
pandemic.
In
particular,
staff
delivering
assurances
being
courteous
markedly
perceptions.
This
contributes
interplay
between
quality,
SVIs,
providing
references
for
policymakers
managers
develop
recovery
policies
post-pandemic
era.
Safety and Health at Work,
Journal Year:
2024,
Volume and Issue:
15(3), P. 352 - 359
Published: July 4, 2024
Organizational
downsizing
may
be
significantly
linked
to
depressive
symptoms,
yet
research
on
this
impact
in
Asian
contexts
is
limited.
This
study
investigates
the
association
between
during
COVID-19
pandemic
and
symptoms
across
diverse
employment
statuses.
Algorithms,
Journal Year:
2024,
Volume and Issue:
17(9), P. 408 - 408
Published: Sept. 12, 2024
The
rising
popularity
of
wearable
devices
allows
for
extensive
and
unobtrusive
collection
personal
health
data
extended
periods
time.
Recent
studies
have
used
machine
learning
to
create
predictive
algorithms
assess
symptoms
major
depressive
disorder
(MDD)
based
on
these
data.
This
review
evaluates
the
clinical
relevance
models.
Studies
were
selected
represent
range
methodologies
applications
wearables
MDD
algorithms,
with
a
focus
wrist-worn
devices.
reviewed
demonstrated
that
wearable-based
able
predict
considerable
accuracy.
These
models
may
be
in
clinic
complement
monitoring
treatments
or
facilitate
early
intervention
high-risk
populations.
In
preventative
context,
they
could
prompt
users
seek
help
earlier
better
outcomes.
However,
lack
standardized
variation
which
performance
metrics
are
reported
complicates
direct
comparisons
between
studies.
Issues
reproducibility,
overfitting,
small
sample
sizes,
limited
population
demographics
also
limit
generalizability
findings.
As
such,
show
promise
predicting
MDD,
but
there
is
significant
room
improvement
before
this
can
fulfilled.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 30, 2024
Abstract
Background
This
study
aims
to
comprehensively
explore
the
factors
associated
with
depression
among
service
industry
workers
during
COVID-19
pandemic,
utilizing
data
from
2021
Korea
Community
Health
Survey.
A
total
of
16,553
participants
were
included
in
analysis.
Methods
The
research
employed
a
composite
sample
logistic
regression
analysis,
as
dependent
variable
and
various
general
characteristics
independent
variables.
Results
study's
findings
highlight
notable
prevalence
within
(3.3%).
Women
exhibited
2.22
times
higher
risk
compared
men
(95%
Confidence
Interval
(CI):
1.62–3.05).
Service
aged
40–49,
50–59,
≥
60
demonstrated
lower
odds
comparison
those
19–29.
Higher
income
levels
reduced
depression.
experiencing
job
loss
(Odds
Ratio(OR)
=
5.42,
95%
CI:
3.07–9.55)
deteriorated
conditions
(OR
1.97,
1.60–2.43)
than
stable
employment.
Conclusion
In
conclusion,
this
pinpoints
risks
workers,
stressing
gender,
age,
income,
changes.
Urgent
action
is
needed,
including
targeted
interventions
enhanced
workplace
support
ongoing
pandemic.
Valuable
insights
contribute
understanding
mental
health
disparities
population.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 5, 2024
Abstract
Background
The
global
impact
of
the
COVID-19
pandemic
has
been
extensive,
affecting
individuals
unequally.
Apart
from
traditional
vulnerable
groups,
new
segments
society
have
emerged
as
during
this
pandemic.
This
study
focuses
on
exploring
economic
and
psychological
effects
both
newly
recognized
groups
within
Korea.
Methods
employed
multiple
logistic
regression
using
micro-level
social
survey
data
Statistics
Korea
to
calculate
odds
ratio
relating
two
categories
their
mental
health
impacts.
Additionally,
through
interaction
term
analysis,
we
tried
uncover
complex
interrelationship
between
these
non-vulnerable
target
groups.
Results
Both
identified
showed
higher
likelihood
facing
challenges
compared
encountering
a
decrease
in
income
work-related
stress
was
2.17
times
(95%
CI
=
1.90–2.47)
for
NVGs,
while
those
belonging
TVGs
had
1.75-fold
increase
1.47–2.08).
Moreover,
female
self-employed
workers
faced
overall
at
1.36
greater
risk
1.08–1.71),
whereas
elderly
who
are
exhibited
lower
experiencing
such
intersection
NVGs.
Conclusion
research
offers
in-depth
understanding
diverse
impacts
at-risk
Furthermore,
examinations
that
take
into
account
interactions
NVGs
uncovered
subtle
subgroup
dynamics,
suggesting
intersecting
factors
play
role
different
levels
vulnerability.
provides
valuable
evidence
informing
policy
decisions
allocating
resources.