Journal of the Korean Physical Society,
Journal Year:
2023,
Volume and Issue:
84(2), P. 83 - 89
Published: Nov. 14, 2023
Abstract
A
transmission
interval
for
an
infectious
disease
is
important
to
understand
epidemic
processes
in
complex
networks.
The
defined
as
a
time
between
one
person’s
infection
and
their
another
person.
To
study
statistical
properties
of
intervals,
we
analyze
COVID-19
dataset
confirmed
cases
Republic
Korea
that
has
been
collected
2
years
since
the
confirmation
first
case
on
19
January
2020.
Utilizing
demographic
information
individuals,
such
sex,
age,
residence
location,
nature
relation
infectors
infectees,
find
intervals
are
rarely
affected
by
sexes,
but
they
tend
have
larger
values
youngest
oldest
age
groups
than
other
groups.
We
also
some
metropolitan
cities
or
provinces
with
relatively
(smaller)
locations.
These
empirical
findings
might
help
us
better
dynamical
mechanisms
social
systems.
Diagnostics,
Journal Year:
2023,
Volume and Issue:
13(2), P. 259 - 259
Published: Jan. 10, 2023
Soluble
suppression
of
tumorigenesis-2
(sST2)
is
an
emerging
biomarker
for
sepsis
as
well
heart
failure.
We
investigated
the
prognostic
utility
sST2
predicting
clinical
outcomes
in
hospitalized
coronavirus
disease
2019
(COVID-19)
patients.
In
a
total
52
COVID-19
patients,
levels
were
measured
using
ichroma
ST2
assay
(Boditech
Med
Inc.,
Chuncheon-si,
Gang-won-do,
Republic
Korea).
Clinical
included
intensive
care
unit
(ICU)
admission,
ventilator
use,
extracorporeal
membrane
oxygenation
(ECMO)
and
30-day
mortality.
was
analyzed
according
to
outcomes.
sST2,
sequential
organ
failure
assessment
(SOFA)
score,
critical
disease,
4C
mortality
score
compared
receiver
operating
characteristic
(ROC)
curve
Kaplan−Meier
methods
The
level
differed
significantly
ICU
ECMO
(all
p
<
0.05).
On
ROC
analysis,
predicted
comparable
SOFA
but
better
than
disease.
use
score.
survival
hazard
ratios
(95%
confidence
interval)
8.4
(2.7−26.8)
14.8
(3.0−71.7)
1.8
(0.5−6.5)
11.7
(3.4−40.1)
This
study
demonstrated
that
could
be
useful
predict
may
implemented
practice.
Journal of Public Health,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 25, 2025
Owing
to
the
changes
in
lifestyle
caused
by
COVID-19
pandemic,
risk
of
obesity
has
increased.
This
study
analyzed
relationship
between
daily
life
due
and
among
Korean
adults.
used
data
from
2021
Korea
Community
Health
Survey.
A
total
225
265
adults
had
completed
survey.
The
associations
general,
health-related,
COVID-19-related
characteristics
were
using
Chi-square
tests
multiple
logistic
regression
analyses.
rate
participants
was
30.6%.
Among
all
participants,
18.7%
responded
that
a
significant
impact
on
their
lives.
higher
cases
where
significant,
concerns
about
economic
damage
present,
expenditure
occurred.
In
addition,
rates
who
experienced
decrease
physical
activity,
increase
instant
food
consumption,
smoking
after
COVID-19.
brought
life,
including
activity
eating
habits.
Our
suggests
these
may
associate
obesity.
Applied Mathematical Modelling,
Journal Year:
2023,
Volume and Issue:
117, P. 714 - 725
Published: Jan. 9, 2023
Assessing
the
transmission
potential
of
emerging
infectious
diseases,
such
as
COVID-19,
is
crucial
for
implementing
prompt
and
effective
intervention
policies.
The
basic
reproduction
number
widely
used
to
measure
severity
early
stages
disease
outbreaks.
standard
ordinary
differential
equation
models
computed
homogeneous
contact
patterns;
however,
realistic
patterns
are
far
from
homogeneous,
specifically
during
transmission.
Heterogeneity
can
lead
superspreading
events
that
show
a
significantly
high
level
heterogeneity
in
generating
secondary
infections.
This
primarily
due
large
variance
complex
human
behaviours.
Hence,
this
work,
we
investigate
impacts
on
by
developing
two
distinct
model
frameworks:
1)
an
SEIR-Erlang
2)
SEIR
stochastic
agent-based
model.
Furthermore,
estimated
probability
both
context
COVID-19
South
Korea.
Our
results
highlighted
importance
indicated
there
should
be
more
information
than
one
quantity
(the
mean
quantity),
degree-specific
distributional
sense
when
pattern
highly
heterogeneous.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2023,
Volume and Issue:
33(1)
Published: Jan. 1, 2023
We
analyze
the
dataset
of
confirmed
cases
severe
acute
respiratory
syndrome
coronavirus
2
(COVID-19)
in
Republic
Korea,
which
contains
transmission
information
on
who
infected
whom
as
well
temporal
regarding
when
infection
possibly
occurred.
derive
time
series
mesoscopic
networks
using
location
and
age
each
individual
to
see
how
structure
these
changes
over
terms
clustering
link
prediction.
find
that
are
clustered
a
large
extent,
while
those
without
weak
links
could
be
seen
having
tree
structure.
It
is
also
found
triad-based
predictability
network
improved
combined
with
additional
mobility
age-stratified
contact
patterns.
Abundant
triangles
can
help
us
better
understand
mixing
patterns
people
different
locations
groups,
hence
spreading
dynamics
infectious
disease.
Frontiers in Public Health,
Journal Year:
2023,
Volume and Issue:
11
Published: June 30, 2023
Estimating
key
epidemiological
parameters,
such
as
incubation
period,
serial
interval
(SI),
generation
(GI)
and
latent
is
essential
to
quantify
the
transmissibility
effects
of
various
interventions
COVID-19.
These
parameters
play
a
critical
role
in
quantifying
basic
reproduction
number.
With
hard
work
investigators
South
Korea,
estimating
these
has
become
possible
based
on
infector-infectee
surveillance
data
COVID-19
between
February
2020
April
2021.
Herein,
mean
period
was
estimated
be
4.9
days
(95%
CI:
4.2,
5.7)
4.3
4.4).
The
4.3,
with
standard
deviation
4.2.
It
also
revealed
that
proportion
presymptomatic
transmission
~57%,
which
indicates
potential
risk
before
disease
onset.
We
compared
time-varying
number
GI
SI
found
may
result
larger
estimation
Rt
,
refers
around
rapid
increase
cases.
This
highlights
importance
considering
intervals
when
Mathematics and Computers in Simulation,
Journal Year:
2024,
Volume and Issue:
226, P. 24 - 41
Published: June 27, 2024
Although
non-pharmaceutical
interventions
such
as
social
distancing
have
proven
effective
in
curbing
outbreaks,
they
also
carry
economic
consequences.
This
poses
a
dilemma
for
policymakers
striving
to
find
balance
between
disease
control
and
burden.
delicate
varies
regionally,
influenced
by
non-epidemiological
factors
population
movements,
socio-demographic
characteristics,
the
intricacies
of
policies.
These
interact
intricate
ways,
shaping
transmission
dynamics
COVID-19.
To
address
this
complexity,
we
propose
an
innovative
approach
utilizing
deep
reinforcement
learning
(RL).
method
assists
tailoring
intervention
policies
diverse
regions,
taking
into
account
their
unique
dynamics.
We
incorporate
South
Korea's
impact
RL
framework
with
multi-region
epidemic
model,
offering
comprehensive
solution.
integrate
official
mobility
data
GDP
specific
each
region,
employing
proximity
policy
optimization
algorithm
determine
most
appropriate
region-specific
policy.
The
algorithm's
reward
function
considers
both
outbreak
impacts,
providing
flexibility
fine-tune
these
two
according
preferences.
adjustment
can
be
performed
across
three
distinct
cost
scenarios:
High,
Base,
Low-cost
scenarios.
In
scenarios
High-costs,
measures
are
aimed
at
regions
extensive
connectivity
higher
rates.
When
costs
moderate,
center
around
period
peak
prevalence,
illustrating
adaptable
strategies
areas
characterized
high
rates,
budget
limitations,
mobility.
situations
Low-costs,
encompass
excluding
those
low
study's
results
support
focused
mitigation.
Yonsei Medical Journal,
Journal Year:
2023,
Volume and Issue:
64(9), P. 549 - 549
Published: Jan. 1, 2023
There
has
been
little
information
about
the
impact
of
coronavirus
disease
2019
(COVID-19)
pandemic
on
esophagogastroduodenoscopy
(EGD)
and
gastric
cancer
claims.
This
study
aimed
to
measure
COVID-19
EGD
claims
in
South
Korea.This
nationwide,
population-based
compared
data
EGD,
cancer,
early
(EGC),
advanced
(AGC)
operation
2020
2021
(COVID-19
era)
those
(before
pandemic).The
annual
EGC,
AGC
were
reduced
by
6.3%,
5.0%,
4.7%,
3.6%
2.2%,
1.0%,
0.6%,
1.9%
2021,
respectively,
2019.
The
amount
was
8.8%
2020,
but
increased
0.9%
monthly
AGC,
mainly
first
epidemic
wave
COVID-19,
decreased
2nd
4th
wave.
Compared
2019,
claim
28.8%,
14.3%,
18.1%,
9.2%,
5.8%
March
17.2%,
10.8%,
10.3%,
7.2%,
35.4%
April
respectively.Negative
worst
during
surge
2021.
SSM - Population Health,
Journal Year:
2023,
Volume and Issue:
22, P. 101411 - 101411
Published: April 24, 2023
The
public
health
environment
in
South
Korea
is
advancing
toward
the
late
stages
of
COVID-19
pandemic.
However,
there
limited
knowledge
about
extent
individuals'
compliance
with
preventive
measures
during
this
transitional
period
and
potential
predictors
that
determine
such
behaviors.
In
study,
we
employed
expanded
empowerment
model
to
investigate
factors
associated
behaviors
among
Korean
adults
2022.
Our
theoretical
framework
integrates
knowledge-attitude-behavior
belief
conceptualize
underlying
formation
We
collected
data
from
1100
aged
40-69
years
through
an
online
survey
conducted
October
Participants
responded
questions
their
COVID-19,
attitudes
towards
disease,
adherence
measures,
infection
history,
sociodemographic
characteristics.
Structural
equation
modeling
was
assess
relationships
between
knowledge,
attitudes,
related
COVID-19.
Results
showed
disease
predict
also
found
partially
determined
disease.
not
directly
Additionally,
associations
did
differ
infected
never-infected
individuals.
Overall,
study
finds
empirical
support
for
model,
which
connects
positive
while
underscoring
role
history
association.
These
findings
can
help
policymakers
understand
individual
responses
guidelines
pandemic
era
develop
policies
mitigate
further
transmission
Intestinal Research,
Journal Year:
2023,
Volume and Issue:
21(4), P. 500 - 509
Published: Aug. 28, 2023
Background/Aims:
The
impact
of
coronavirus
disease
2019
(COVID-19)
on
the
management
colorectal
cancer
(CRC)
may
worse
in
elderly
population,
as
almost
all
COVID-19
deaths
occurred
patients.
This
study
aimed
to
evaluate
CRC
population.Methods:
numbers
patients
who
underwent
colonoscopy,
visited
hospitals
or
operated
for
2020
and
2021
(COVID-19
era)
were
compared
with
those
2019,
according
3
age
groups
(≥70
years,
50–69
≤49
years),
based
nationwide,
population-based
database
(2019–2021)
South
Korea.Results:
annual
volumes
colonoscopy
hospital
visits
more
significantly
declined
old
group
than
young
(both
P<0.001).
In
addition,
volume
numerically
group.
During
first
surge
(March
April
2020),
showed
statistically
significant
declines
monthly
number
colonoscopies
(–46.5%
vs.
–39.3%,
P<0.001),
(–15.4%
–7.9%,
<i>P</i><0.001),
operations
(–33.8%
–0.7%,
<i>P</i><0.05),
colonoscopic
polypectomies
(–41.8%
–38.0%,
<i>P</i><0.001)
patients,
same
months
2019.Conclusions:
Elderly
population
are
vulnerable
during
pandemic.
Therefore,
carefully
cared
next
