Results in Control and Optimization,
Journal Year:
2024,
Volume and Issue:
16, P. 100439 - 100439
Published: June 9, 2024
This
paper
introduces
a
fractional-order
(FO)
SEIR
epidemic
model
for
respiratory
diseases
considering
non-human
class
P(t)
pathogens
to
study
the
effects
of
fear
and
awareness
programs
on
disease
dynamics.
Further,
using
basic
reproduction
number
ℛ0α,
criteria
extinction
or
persistence
is
established.
Also,
conditions
Hopf
bifurcation
are
derived,
both
FO
(α)
rate
η
as
parameters.
In
addition,
detailed
numerical
simulation
performed
substantiate
our
theoretical
results.
The
transmission
dynamics
Tuberculosis
(TB),
particular
example
disease,
carried
out
in
reference
United
States
(US).
Finally,
we
have
estimated
parameters
with
help
actual
TB
data
from
US
then
predicted
control.
It
pointed
that
fractional
order
can
reduce
complexity
better
predict
than
integer
order.
Partial Differential Equations in Applied Mathematics,
Journal Year:
2024,
Volume and Issue:
9, P. 100623 - 100623
Published: Jan. 23, 2024
In
this
study,
we
apply
both
classical
and
fractional-order
differential
equations
to
construct
a
deterministic
mathematical
model
of
the
monkeypox
virus.
The
accounts
for
every
conceivable
interaction
that
may
play
role
in
propagation
disease
throughout
population.
current
investigate
outbreak
using
an
Atangana-Beleanu
fractal-fractional
derivative
with
exponentially
decaying
type
kernel
examine
impact
vaccination
isolation.
We
thoroughly
model's
fundamental
characteristics.
calculate
basic
reproduction
number
equilibrium
points,
as
well
identify
feasible
region
model.
prove
existence
stability
Banach
fixed-point
theory
Picard's
successive
approximation
method.
establish
uniqueness
solution
under
appropriate
conditions.
Additionally,
explore
asymptotically
local
global
disease-free
states
endemic
states.
also
Hyers-Ulam
Hyers-Ulam-Rassias
consistency
obsessive
solution.
To
design
effective
infection
control
measures,
study
dynamic
behavior
system.
complex
dynamics
influence
different
system
input
factors
through
extensive
numerical
simulations
proposed
varying
parameters.
way,
people
can
learn
about
parameters
efforts
eradicate
monkeypox.
dynamical
present
decision-makers
community
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 10, 2024
Abstract
Over
the
course
of
history
global
population
has
witnessed
deterioration
unprecedented
scale
caused
by
infectious
transmission.
The
necessity
to
mitigate
flow
requires
launch
a
well-directed
and
inclusive
set
efforts.
Motivated
urge
for
continuous
improvement
in
existing
schemes,
this
article
aims
at
encapsulation
dynamics
spread
diseases.
objectives
are
served
disease
model.
Moreover,
an
optimal
control
strategy
is
introduced
ensure
incorporation
most
feasible
health
interventions
reduce
number
infected
individuals.
outcomes
research
facilitated
stratifying
into
five
compartments
that
susceptible
class,
acute
chronic
recovered
vaccinated
class.
formulated
incorporating
specific
variables
namely,
awareness
about
medication,
isolation,
ventilation,
vaccination
rates,
quarantine
level.
developed
model
validated
proving
pivotal
delicacies
such
as
positivity,
invariant
region,
reproduction
number,
stability,
sensitivity
analysis.
legitimacy
proposed
delineated
through
detailed
analysis
along
with
documentation
local
features
comprehensive
manner.
maximum
index
parameters
transmission
people
moved
from
stages
whose
value
(0.439,
1)
increase
parameter
10
percent
would
threshold
quantity
(4.39,
1).
Under
condition
stable
system,
we
inverse
relationship
between
class
time.
assist
gain
fundamental
aim
research,
take
time-dependent
obtain
minimize
populations
maximize
population,
simultaneously.
attained
employment
Pontryagin
principle.
Furthermore,
efficacy
usual
quarantine,
face
mask
usage,
hand
sanitation
also
noticed.
effectiveness
suggested
plan
explained
using
numerical
evaluation.
advantages
new
highlighted
article.
Decision Analytics Journal,
Journal Year:
2024,
Volume and Issue:
10, P. 100413 - 100413
Published: Feb. 6, 2024
Prioritizing
control
implementation
for
dengue
prevention
and
efficiency
cost
benefits
is
crucial
to
the
government,
decision-makers,
policymakers,
particularly
in
resource-limited
communities
where
disease
endemic.
This
study
primarily
concerned
with
developing
analyzing
an
optimal
model
dynamics,
which
includes
asymptomatic,
isolation,
vigilant
compartments
human
population
three
time-varying
functions.
These
functions
represent
personal
protection
using
insecticide-treated
bed
nets
wearing
long-sleeved
clothes,
treatment,
vector
insecticide
spraying.
Qualitative
analysis
of
carried
out
minimize
spread
costs
theory.
By
classifying
all
possible
combinations
interventions
into
distinct
scenarios,
single
intervention,
double
triple
interventions,
effect
implementing
each
intervention
scenario
illustrated
through
numerical
simulations
optimality
system.
The
most
efficient
identified
by
computing
index
intervention.
In
contrast,
scenario's
cost-effective
strategy
obtained
infection
averted
ratio,
average
cost-effectiveness
incremental
ratio
approaches.
Efficiency
reveals
that
combination
overall
strategy,
thereby
recommended
protect
transmission
when
resource
allocations
are
readily
available.
communities,
treatment
regarded
can
be
implemented
guide
against
according
analysis.
Computer Methods and Programs in Biomedicine Update,
Journal Year:
2024,
Volume and Issue:
5, P. 100155 - 100155
Published: Jan. 1, 2024
The
present
global
health
threat
is
the
novel
coronavirus
disease
(COVID-19),
caused
by
a
new
strain
of
SARS-CoV-2
coronavirus.
In
this
study,
have
employed
optimal
control
theory,
aided
Pontryagin's
Maximum
Principle,
to
explore
measures.
Specifically,
we
investigated
time-dependent
intervention
strategies,
including
proper
use
personal
protective
measures
and
vaccination.
Bifurcation
analysis
was
conducted
results
shows
that
model
system
exhibit
forward
bifurcation.
been
numerically
simulated
using
fourth-order
Runge–Kutta
methods.
show
implementation
combination
two
interventions
more
significant
effective
in
minimizing
spread
COVID-19
than
single
measure.
These
findings
underscore
significance
multifaceted
approaches
over
singular
Notably,
combined
emerges
as
markedly
containing
transmission.
Moreover,
our
study
identifies
particularly
cost-effective
intervention,
offering
substantial
relief
from
burden
pandemic
within
population.
We
anticipate
research
will
inform
evidence-based
aid
ongoing
efforts
safeguard
public
health.
Computer Methods and Programs in Biomedicine Update,
Journal Year:
2024,
Volume and Issue:
5, P. 100134 - 100134
Published: Jan. 1, 2024
Pneumonia
remains
a
significant
global
health
concern,
claiming
millions
of
lives
annually.
This
study
introduces
novel
approach
by
developing
and
analyzing
Caputo
fractional
order
pneumonia
infection
model
that
incorporates
asymptomatic
carriers.
Through
qualitative
lens,
we
establish
the
existence
uniqueness
solutions
applying
well-known
Picard–Lindelöf
criteria.
Employing
next-generation
approach,
compute
model's
basic
reproduction
number,
determine
equilibrium
points,
probe
their
stabilities.
The
main
objective
this
is
to
investigate
transmission
dynamics
with
focus
on
carriers
using
modeling.
Our
findings
reveal
innovative
outcomes
as
showcase
numerical
simulations,
providing
practical
verification
results.
Notably,
explore
in-depth,
examining
influence
specific
parameters
orders
disease
transmission.
contributions
lie
in
advancing
theoretical
foundation
infectious
modeling,
particularly
context
pneumonia.
rigorous
analysis
provide
valuable
insights
into
behavior
proposed
model.
These
hold
implications
for
understanding
managing
real-world
scenarios.
serves
vital
resource
researchers,
policymakers,
healthcare
practitioners
involved
combating
preventing
spread
pneumonia,
ultimately
contributing
efforts
public
health.
Healthcare Analytics,
Journal Year:
2023,
Volume and Issue:
4, P. 100266 - 100266
Published: Sept. 30, 2023
The
rise
of
drug
resistance
has
become
a
major
obstacle
in
treating
tuberculosis
(TB),
significantly
contributing
to
the
increasing
disease
burden.
Therefore,
it
is
essential
study
transmission
dynamics
disease,
considering
factors
that
contribute
strain's
impact
on
burden,
using
an
epidemiological
model.
We
present
deterministic
mathematical
model
explores
TB
with
two
strains:
drug-susceptible
and
drug-resistant,
taking
into
account
exogenous
re-infection.
thoroughly
analyze
gain
insights
behavior
qualitative
analysis
reveals
interesting
phenomenon
known
as
"backward
bifurcation,"
where
both
stable
disease-free
endemic
equilibria
coexist
when
associated
reproduction
number
less
than
one.
In
absence
re-infection,
shows
existence
unique
positive
equilibria.
Numerical
simulations
were
conducted,
yielding
noteworthy
results.
Increasing
treatment
rate
for
individuals
infected
strain
reduces
new
cases
while
detection
drug-resistant
cases.
demonstrate
strains
can
their
numbers
exceed
one
without
competitive
exclusion
occurring.
summary,
this
sheds
light
challenges
posed
by
highlights
importance
understanding
through
modeling
develop
effective
strategies
its
contro.
Healthcare Analytics,
Journal Year:
2023,
Volume and Issue:
4, P. 100260 - 100260
Published: Sept. 20, 2023
Rabies
remains
a
major
public
health
concern
in
many
regions
of
the
world,
particularly
poorer
nations.
This
study
proposes
mathematical
model
for
animal
rabies
transmission
dynamics,
considering
infective
immigrants
and
vaccination
as
potential
control
measures
to
address
this
issue.
The
effective
reproduction
number
(Re)
was
calculated
by
using
next-generation
matrix
approach.
By
Routh–Hurwitz
Criterion,
disease-free
equilibrium
point
(DFE)
obtained
proved
be
locally
asymptotically
stable
if
Re<1
unstable
otherwise,
also,
quadratic
Lyapunov
function
DFE
determined
globally
stable.
Moreover,
sensitivity
analysis
parameters
on
performed
normalized
forward
index
method.
For
simulation
analysis,
numerical
with
help
MATLAB
software.
simulated
data
results
revealed
that
increase
rate
decreasing
will
reduce
spread
decrease,
which
depicted
graphically.
Healthcare Analytics,
Journal Year:
2023,
Volume and Issue:
4, P. 100205 - 100205
Published: June 6, 2023
The
study
of
within-host
dynamics
viral
infection
is
a
vital
process
understanding
how
healthy
cells
in
the
body
are
affected
by
foreign
bodies
and
immunity
responds
to
such
changes.
This
paper
presents
analyses
Chikungunya
virus
transmission
with
adaptive
immune
responses
using
fractional-order
derivative
operator
Caputo
type.
formulated
model
describes
interaction
uninfected
cells,
infected
particles
presence
Cytotoxic
T-Lymphocytes
antibody
responses.
Several
analytical
methods
employed
analyse
model.
Positivity
boundedness
theory
used
investigate
properties
solutions
via
generalized
mean
value
theorem
approach.
existence
uniqueness
examined
Banach
fixed
point
method.
normalized
forward
sensitivity
method
determines
different
parameters
affect
system.
It
was
shown
that
rate
representing
played
significant
role
model's
dynamics.
Further,
time-dependent
optimal
control
analysed
optimize
performance
approach
made
popular
Pontryagin's
maximum
principle.
Simulations
performed
visualize
theoretical
results
show
influence
memory
on
trajectories
concentrations
particles,
antibodies.
Healthcare Analytics,
Journal Year:
2023,
Volume and Issue:
3, P. 100191 - 100191
Published: May 9, 2023
This
study
formulates
a
Monkeypox
model
with
protected
travelers.
The
fixed
point
theorem
is
used
to
obtain
the
existence
and
uniqueness
of
solution
Ulam-Hyers
stability
for
analysis
model.
Newton
polynomial
interpolation
scheme
employed
solve
an
approximate
fractional
numerical
simulations
graphical
representations
suggest
that
order
affects
dynamics
Monkeypox.
shows
other
underlining
transmission
trends
disease.
We
conclude
result
obtained
each
compartment
conforms
reality
as
approaches
unity.