Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: April 12, 2023
The
COVID-19
pandemic
is
a
global
health
concern
that
has
spread
around
the
globe.
Machine
Learning
promising
in
fight
against
pandemic.
learning
and
artificial
intelligence
have
been
employed
by
various
healthcare
providers,
scientists,
clinicians
medical
industries
disease.
In
this
paper,
we
discuss
impact
of
Covid-19
on
alcohol
consumption
habit
changes
among
workers
United
States
during
first
wave
We
utilize
multiple
supervised
unsupervised
machine
methods
models
such
as
decision
trees,
logistic
regression,
support
vector
machines,
multilayer
perceptron,
XGBoost,
CatBoost,
LightGBM,
AdaBoost,
Chi-Squared
Test,
mutual
information,
KModes
clustering
synthetic
minority
oversampling
technique
mental
survey
data
obtained
from
University
Michigan
Inter-University
Consortium
for
Political
Social
Research
to
investigate
links
between
COVID-19-related
deleterious
effects
habits
workers.
Through
interpretation
methods,
concluded
whose
children
stayed
home
US
consumed
more
alcohol.
also
found
work
schedule
due
led
change
use
habits.
Changes
food
consumption,
age,
gender,
geographical
characteristics,
sleep
habits,
amount
news
screen
time
are
important
predictors
an
increase
States.
PeerJ,
Journal Year:
2021,
Volume and Issue:
9, P. e12528 - e12528
Published: Dec. 14, 2021
Background
COVID-related
restrictions
impacted
the
lives
of
students
on
and
off
campus
during
Academic
Year
2020/2021.
Methods
Our
study
collected
data
student
health
behavior
habits
as
well
their
mental
emotional
using
anonymous
surveys.
We
compared
these
with
prior
to
COVID
in
longitudinal
part
our
(
n
=
721)
analyzed
them
for
cross-sectional
506).
Results
The
show
a
significant
difference
some
behaviors
habits,
such
sleeping
physical
activity,
breakfast
consumption,
time
spent
online
or
playing
video
games,
vaping,
marijuana
use,
pandemic
pre-COVID
data.
Respondents
also
reported
increase
difficulty
concentrating,
remembering,
making
decisions,
being
by
feelings
sadness
hopelessness.
Yet,
there
was
no
proportion
respondents
considering,
planning
attempting
suicide
COVID.
illuminate
negative
effect
overall
situation
students’
well-being.
Three-quarters
having
craved
human
interaction
past
six
months,
more
than
half
felt
that
mental/emotional
had
been
lack
social
events
switch
virtual
(online)
teaching.
Two-thirds
expressed
they
less
connected
peers
motivated
studies
previous
semesters.
Fifty
percent
selected
anxious,
stressed,
overwhelmed,
disconnected,
tired,
fatigued
words
best
described
state
pandemic.
Conclusions
impact
severe
one
would
have
expected
based
early
stage
While
changed
period,
changes
were
not
substantial
overall.
did
find
an
COVID,
although
from
survey
make
well-being
evident.
will
unquestionably
be
long-lasting
necessitate
further
future
investigations.
Journal of Affective Disorders Reports,
Journal Year:
2022,
Volume and Issue:
7, P. 100306 - 100306
Published: Jan. 1, 2022
Stress
and
mental
health
outcomes
are
negatively
correlated
among
university
students
throughout
the
world.
Reports
of
differences
in
stress
perception
by
gender
exist,
but
there
is
limited
data
on
from
sub-Saharan
African
countries.
This
study
describes
burden
perceived
financial
stress;
characterizes
mood
degree
anxiety
symptoms;
examines
coping
mechanisms,
including
resilience
repetitive
negative
thinking
(RNT);
explores
how
at
a
Ghanaian
believed
COVID-19
pandemic
affected
these
measures.Students
(n
=
129)
were
recruited
Kwame
Nkrumah
University
Science
Technology,
Kumasi,
Ghana
October
2020
-
January
2021.
Validated
surveys
used.
Participants
asked
"Are
your
answers
to
questions
pandemic?"No
mean
scores
observed
between
genders.
For
female
students,
was
positively
associated
with
RNT
(p
0.009),
0.002),
<
0.001).
Males
more
likely
report
decreased
during
no
difference
(PS)
change
category
males.
Effects
mixed,
substantial
proportions
reported
improvements
or
stress,
mood,
anxiety,
RNT.Students
one
particiapted
this
cross-sectional
survey.This
adds
understanding
higher
education
experiencing
uncertainties
Ghana.
Journal of the Formosan Medical Association,
Journal Year:
2024,
Volume and Issue:
124(1), P. 6 - 14
Published: March 22, 2024
Biological
disasters
pose
a
growing
challenge
in
the
21st
century,
significantly
impacting
global
society.
Taiwan
has
experienced
such
disasters,
resulting
long-term
consequences
like
loss
of
life,
trauma,
economic
decline,
and
societal
disruptions.
Post-disaster,
mental
health
issues
as
fear,
anxiety,
depression,
post-traumatic
stress
disorder
(PTSD),
surge,
accompanied
by
increased
suicide
rates.
The
Coronavirus
disease
2019
(COVID-19)
(also
called
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2))
pandemic,
recognized
biological
disaster,
triggered
lockdowns
quarantines
Taiwan,
causing
lifestyle
changes,
recession,
so
on.
These
shifts
may
elevate
uncertainty
about
future,
intensifying
leading
to
rise
various
illnesses.
This
article
reviews
studies
conducted
during
emphasizing
need
integrate
this
research
for
future
preparedness
interventions
regarding
impacts
including
COVID-19.
Further
is
essential
explore
effects,
interventions,
generalizability.
Communication Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 30, 2024
The
smartphone
occupies
a
substantial
part
of
adolescents’
daily
life,
from
the
moment
they
wake
up
to,
for
some,
well
beyond
their
bedtime.
current
study
compared
impact
daytime,
pre-bedtime,
and
post-bedtime
use
on
sleep
quality.
In
addition,
it
explored
differential
effects
lean-back
lean-forward
apps.
We
collected
data
155
adolescents
across
21
days
using
tracking
(745,706
app
activities)
in
combination
with
experience
sampling
(1,950
quality
assessments).
found
no
significant
daytime
pre-bedtime
quality,
but
negative
association
(β
=
−.09).
between
varied
categories:
Time
spent
apps
around
bedtime,
such
as
social
media
right
before
−.08)
game
after
bedtime
−.23),
was
associated
lower
(i.e.,
video
players)
not
neither
nor
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: April 12, 2023
The
COVID-19
pandemic
is
a
global
health
concern
that
has
spread
around
the
globe.
Machine
Learning
promising
in
fight
against
pandemic.
learning
and
artificial
intelligence
have
been
employed
by
various
healthcare
providers,
scientists,
clinicians
medical
industries
disease.
In
this
paper,
we
discuss
impact
of
Covid-19
on
alcohol
consumption
habit
changes
among
workers
United
States
during
first
wave
We
utilize
multiple
supervised
unsupervised
machine
methods
models
such
as
decision
trees,
logistic
regression,
support
vector
machines,
multilayer
perceptron,
XGBoost,
CatBoost,
LightGBM,
AdaBoost,
Chi-Squared
Test,
mutual
information,
KModes
clustering
synthetic
minority
oversampling
technique
mental
survey
data
obtained
from
University
Michigan
Inter-University
Consortium
for
Political
Social
Research
to
investigate
links
between
COVID-19-related
deleterious
effects
habits
workers.
Through
interpretation
methods,
concluded
whose
children
stayed
home
US
consumed
more
alcohol.
also
found
work
schedule
due
led
change
use
habits.
Changes
food
consumption,
age,
gender,
geographical
characteristics,
sleep
habits,
amount
news
screen
time
are
important
predictors
an
increase
States.