Agent-based modeling of spreading infectious diseases: state-of-the-art
Fundamental and Clinical Medicine,
Journal Year:
2024,
Volume and Issue:
9(3), P. 109 - 119
Published: Sept. 27, 2024
Agent-based
simulation
modeling
provides
additional
opportunities
to
study
the
patterns
of
pathogen
spread
among
populations,
taking
into
account
complexity
and
stochasticity
epidemic
process.
is
considered
as
a
computational
approach
in
which
agents
with
predefined
characteristics
can
interact
each
other
environment
according
pre-specified
rules.
Here
I
consider
historical
background
agent-based
field
infectious
diseases,
describe
basic
definitions
classifications,
discuss
strengths
weaknesses
modeling.
The
article
details
four
interconnected
main
components
that
are
subject
modeling:
disease
features
(transmission
routes,
process),
population,
movement
patterns,
environment.
also
addresses
need
for
validation
models.
reader's
attention
drawn
following
important
models:
ability
model
various
scenarios
on
different
scales
(global,
national,
regional);
use
them
epidemiological
studies
when
controlled
experiments
impossible
(e.g.,
consequences
non-compliance
preventive
measures,
«cultural
pathogens»);
make
decisions
depending
their
characteristics;
consideration
behavioral
aspects
at
individual
level;
mobility
social
contacts
agents.
models
well-suited
modeling,
particularly
surveillance,
including
emerging
infections
COVID-19).
Language: Английский
Limitations in creating artificial populations in agent-based epidemic modeling: a systematic review
Journal of microbiology epidemiology immunobiology,
Journal Year:
2024,
Volume and Issue:
101(4), P. 530 - 545
Published: Sept. 9, 2024
Introduction.
The
key
step
in
agent-based
modeling
of
epidemics,
which
allows
researchers
to
take
into
account
individual
characteristics
people,
is
the
creation
an
artificial
population.
main
difficulty
this
procedure
finding
a
balance
between
detail
population
description
and
computational
efficiency
calculations.
aim
objectives
review:
Critically
analyze
summarize
current
evidence
on
how
create
populations;
evaluate
limitations
advantages
available
approaches
solving
various
problems
epidemiology.
Materials
methods.
An
analysis
literature
sources
devoted
has
been
performed.
focused
algorithms
for
creating
with
given
level
human
respiratory
infections.
Results.
populations
are
generalized.
principles
realization
interaction
agents
revealed:
by
means
networks
contacts
basis
taking
movement
locations.
first
approach
most
computationally
efficient
simple;
second
better
change
behavior
during
development
epidemic
process.
Conclusion.
Agent-based
optimal
tool
selecting
best
scenario
control
investigating
role
people
epidemics.
When
population,
it
important
include
model
factors
that
can
be
targeted
control.
A
significant
limitation
lack
factual
data
structure,
but
overcome
using
indirect
data.
Language: Английский