Stability Analysis of Spread of Infectious Diseases COVID-19 Using SEIAR-V1V2Q Model for Asymptomatic Condition with Runge-Kutta Order 4
Erwin Erwin,
Citra Dewi Hasibuan,
Doni Aldo Samuel Siahaan
и другие.
Mathematical Modelling and Engineering Problems,
Год журнала:
2024,
Номер
11(5), С. 1348 - 1354
Опубликована: Май 30, 2024
The
spread
of
infectious
diseases
in
Indonesia
has
become
a
significant
concern
health.COVID-19
contagious
disease
difficulties
infection
because
some
individuals
are
infected
asymptomatically.Infectious
modeled
with
SEIR
model
modification
vaccinations
1
and
2,
Quarantine
will
produce
new
approach
by
considering
the
variables
parameters
prevention
so
that
it
can
suppress
rate
COVID-19.The
study
simulate
numerical
analysis
transmission
solved
using
Runge-Kutta
order
4.
results
achieved
SEIAR-V1V2Q
modification,
this
predict
acceleration
COVID-19
transmitted
asymptomatic
conditions.Based
on
research,
modifying
2-stage
vaccination
quarantine
measures
reduce
percentage
cases
susceptible
individuals,
especially
infection,
which
without
showing
symptoms.Discipline
accelerating
increase
formation
individual
body
immunity
to
strengthen
unique
antibodies
minimize
virus.It
be
reference
similar
requiring
individuals.
Язык: Английский
Optimal control of spatial diseases spreading in networked reaction–diffusion systems
Physics Reports,
Год журнала:
2025,
Номер
1111, С. 1 - 64
Опубликована: Фев. 1, 2025
Язык: Английский
Effects of positive and negative social reinforcement on coupling of information and epidemic in multilayer networks
Chaos An Interdisciplinary Journal of Nonlinear Science,
Год журнала:
2025,
Номер
35(4)
Опубликована: Апрель 1, 2025
The
spread
of
epidemics
is
often
accompanied
by
the
epidemic-related
information,
and
two
processes
are
interdependent
interactive.
A
social
reinforcement
effect
frequently
emerges
during
transmission
both
epidemic
information.
While
prior
studies
have
primarily
examined
role
positive
in
this
process,
influence
negative
has
largely
been
neglected.
In
paper,
we
incorporate
effects
establish
a
two-layer
dynamical
model
to
investigate
interactive
coupling
mechanism
information
transmission.
Heaviside
step
function
utilized
describe
reinforcements
actual
process.
microscopic
Markov
chain
approach
used
dynamic
evolution
outbreak
threshold
derived.
Extensive
Monte
Carlo
numerical
simulations
demonstrate
that
while
alters
promotes
their
spread,
does
not
change
but
significantly
impedes
both.
addition,
publishing
more
accurate
through
official
channels,
intensifying
quarantine
measures,
promoting
vaccines
treatments
for
outbreaks,
enhancing
physical
immunity
can
also
help
contain
epidemics.
Язык: Английский