Social Sciences,
Год журнала:
2022,
Номер
11(6), С. 355 - 355
Опубликована: Янв. 1, 2022
The
impact
of
COVID-19
is
one
the
causes
current
world
inflation,
in
addition
to
war
Ukraine
and
climate
change.
To
overcome
crisis,
UNHCR
collects
zakat
alms
funds
from
organizations
institutions.
global
Muslim
community
then
distributed
134,432
families
various
countries.
Indonesia
recipients
funds.
In
Indonesia,
programs
are
managed
by
philanthropic
When
pandemic
case
broke
out,
institutions
changed
their
strategies
help
government
reduce
coronavirus's
transmission
rate
poverty.
research
method
qualitative,
selection
informants
uses
a
purposive
method.
informant
head
institution
was
interviewed.
results
interviews
were
analyzed
with
QSR
N
Vivo
12.
This
study
identifies
changes
institutions'
adaptation
innovation
during
pandemic.
Of
two
implemented
before
pandemic,
there
eleven
programs.
There
strategic
changes,
namely
changing
that
can
adapt
provide
additional
benefits
for
vulnerable
poor
groups.
expected
outcome
strategy
behavior
change
follow
health
protocols,
given
continue
MSMEs.
second
way
increase
number
program
activity
targets,
education,
disaster,
empowered
villages,
farmer
awakening,
food
security,
SMEs,
public
health,
role
women,
sanitation,
social
religion,
street
vendors.
Epidemics,
Год журнала:
2022,
Номер
40, С. 100610 - 100610
Опубликована: Июль 14, 2022
Applied
epidemiological
models
have
played
a
critical
role
in
understanding
the
transmission
and
control
of
disease
outbreaks.
Their
utility
accuracy
decision-making
on
appropriate
responses
during
public
health
emergencies
is
however
factor
their
calibration
to
local
data,
evidence
informing
model
assumptions,
speed
obtaining
communicating
results,
ease
willingness
by
policymakers
use
insights.
We
conducted
systematic
review
infectious
focused
SARS-CoV-2
Africa
determine:
a)
spatial
temporal
patterns
modelling
Africa,
b)
data
calibrate
expertise
activities,
c)
key
questions
policy
searched
PubMed,
Embase,
Web
Science
MedRxiv
databases
following
PRISMA
guidelines
obtain
all
dynamic
papers
for
one
or
multiple
African
countries.
extracted
countries
studied,
authors
affiliations,
addressed,
type
used,
models,
insights
guiding
decisions.
A
total
74
met
inclusion
criteria,
with
nearly
two-thirds
these
coming
from
6%
(3)
Initial
were
published
2
months
after
first
cases
reported
most
wave.
More
than
half
(53,
78%)
(48,
65%)
had
last
author
affiliated
an
institution
respectively,
only
12%
(9)
used
calibration.
60%
(46)
modelled
assessment
interventions.
The
rate
parameter
was
found
drive
uncertainty
sensitivity
analysis
majority
models.
draw
crucial
therefore
there
need
increase
capacity
continent.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 5, 2024
Abstract
Effective
communication
of
modelling
results
to
policy
and
decision
makers
has
been
a
longstanding
challenge
in
times
crises.
This
takes
many
forms
-
visualisations,
reports,
presentations
requires
careful
consideration
ensure
accurate
maintenance
the
key
scientific
messages.
Science-to-policy
is
further
exacerbated
when
presenting
fundamentally
uncertain
science
such
as
infectious
disease
other
types
modelled
evidence,
something
which
understudied.
Here
we
assess
visualisation
national
COVID-19
13
different
countries.
We
present
synthesis
recommendations
on
what
aspects
visuals,
graphs,
plots
policymakers
found
be
most
helpful
their
response
work.
work
serves
first
evidence
base
for
developing
guidelines
translation
modelling-to-policy.
AGILE GIScience Series,
Год журнала:
2023,
Номер
4, С. 1 - 4
Опубликована: Июнь 6, 2023
Abstract.
Disease
transmission
and
governmental
interventions
influence
the
spread
of
Covid-19.
Models
can
be
essential
tools
to
optimise
these
interventions.
This
requires
exploration
various
ways
implement
government
agent
behaviour.
In
Agent-Based
(ABMs),
behaviour
rule-based
or
data-driven,
an
isolated
learner
(using
only
its
own
data)
a
social
learner.
We
explore
creation
data-driven
approach
in
which
is
based
on
Machine
Learning
(ML)
algorithm,
considers
data
from
other
European
countries
as
input
for
their
decision-making.
Governmental
actions
start
with
risk
perception,
several
parameters,
e.g.
number
disease
cases,
deaths,
hospitalisation
rate.
The
are
measured
via
stringency
index,
measuring
simultaneous
(working
home,
wearing
facemask,
closing
schools,
etc.)
taken.
test
four
machine
learning
algorithms
(Bayesian
Network
(BN),
c4.5,
Naïve
Bayes
(NB)
Random
Forest
(RF)),
using
5-class
3-class
classification
level.
trained
many
countries.
best-performing
were
c4.5
RF.
next
step
into
ABM
evaluate
outcomes
compared
original
model.
IEEE Transactions on Visualization and Computer Graphics,
Год журнала:
2022,
Номер
unknown, С. 1 - 11
Опубликована: Янв. 1, 2022
Computational
modeling
is
a
commonly
used
technology
in
many
scientific
disciplines
and
has
played
noticeable
role
combating
the
COVID-19
pandemic.
Modeling
scientists
conduct
sensitivity
analysis
frequently
to
observe
monitor
behavior
of
model
during
its
development
deployment.
The
traditional
algorithmic
ranking
sensitivity
different
parameters
usually
does
not
provide
with
sufficient
information
understand
interactions
between
outputs,
while
need
large
number
runs
order
gain
actionable
for
parameter
optimization.
To
address
above
challenge,
we
developed
compared
two
visual
analytics
approaches,
namely:
xmlns:xlink="http://www.w3.org/1999/xlink">algorithm-centric
visualization-assisted
,
xmlns:xlink="http://www.w3.org/1999/xlink">visualization-centric
algorithm-assisted
.
We
evaluated
approaches
based
on
structured
analysis
tasks
as
well
feedback
domain
experts.
While
work
was
carried
out
context
epidemiological
modeling,
this
are
directly
applicable
variety
processes
featuring
time
series
can
be
extended
models
other
types
outputs.
Authorea (Authorea),
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 17, 2023
COVID-19,
caused
by
the
novel
coronavirus
(SARS-CoV-2),
is
an
emerging
infectious
disease
(EID)
with
a
relatively
high
infectivity
and
mortality
rate.
During
state
of
emergency
announced
Japanese
government
in
spring
2020,
citizens
were
requested
to
stay
home,
number
infected
people
was
drastically
reduced
without
legally-binding
lockdown.
It
well-acknowledged
that
there
trade-off
between
maintaining
economic
activity
preventing
spread
diseases.
We
aimed
reduce
total
loss
epidemic
EID
like
COVID-19
present
study.
focused
on
early
late
stages
proposed
framework
resulted
from
damage
infection
cost
for
countermeasure.
Mathematical
models
used
estimate
effect
interventions
deaths
infection.
The
converted
into
monetary
base
different
policies
compared.
In
stage,
we
calculated
when
behavioral
restrictions
implemented.
favorable
intensity
intervention
depended
basic
reproduction
number,
fatality
rate,
impact.
indicators
showed
it
ratio
maintain
hospitalization
system
per
which
strategies
should
be
adopted.
We
present
an
innovative
SEQIAR-D-based
mathematical
and
computational
framework
that
scrutinizes
the
coron-
avirus
crisis
using
empirical
data
from
diverse
nations,
including
Pakistan,
China,
India,
Afghanistan,
UAE.
have
employed
a
epidemiological
model
to
assess
system’s
stability,
basic
reproduc-
tion
number
as
key
parameter.
Global
stability
is
evaluated
via
Lyapunov
function,
yielding
accurate
reproduction
numbers
next-generation
matrix
approach:
0.0007,
4.7093
×
10−07
,
0.0014,1.0504,
0.0175,
respectively.
Furthermore,
we
conduct
sensitivity
analysis
on
impact
of
parameters
disease
propagation.
This
catalyzes
extensive
research
analysis,
fosters
deep
understanding
coronavirus
transmission
dynamics,
enables
effective
control
measures.
It
seamlessly
merges
precise
analytical
methods,
providing
comprehensive
strategy
address
pandemic
challenges.
Social Sciences,
Год журнала:
2022,
Номер
11(6), С. 355 - 355
Опубликована: Янв. 1, 2022
The
impact
of
COVID-19
is
one
the
causes
current
world
inflation,
in
addition
to
war
Ukraine
and
climate
change.
To
overcome
crisis,
UNHCR
collects
zakat
alms
funds
from
organizations
institutions.
global
Muslim
community
then
distributed
134,432
families
various
countries.
Indonesia
recipients
funds.
In
Indonesia,
programs
are
managed
by
philanthropic
When
pandemic
case
broke
out,
institutions
changed
their
strategies
help
government
reduce
coronavirus's
transmission
rate
poverty.
research
method
qualitative,
selection
informants
uses
a
purposive
method.
informant
head
institution
was
interviewed.
results
interviews
were
analyzed
with
QSR
N
Vivo
12.
This
study
identifies
changes
institutions'
adaptation
innovation
during
pandemic.
Of
two
implemented
before
pandemic,
there
eleven
programs.
There
strategic
changes,
namely
changing
that
can
adapt
provide
additional
benefits
for
vulnerable
poor
groups.
expected
outcome
strategy
behavior
change
follow
health
protocols,
given
continue
MSMEs.
second
way
increase
number
program
activity
targets,
education,
disaster,
empowered
villages,
farmer
awakening,
food
security,
SMEs,
public
health,
role
women,
sanitation,
social
religion,
street
vendors.
