2020 13th International Conference "Management of large-scale system development" (MLSD),
Год журнала:
2023,
Номер
unknown, С. 1 - 4
Опубликована: Сен. 26, 2023
This
paper
presents
a
formulation
of
tasks
for
developing
large-scale
monitoring
concept
aimed
at
improving
the
quality
planning
sectoral
and
spatial
development
regional
economies.
Considered
approach
proposes
building
an
information
system
that
uses
transformation
communication
strategies
under
various
conditions
involving
technological
infrastructure
as
digital
entities
in
local
markets.
Background
The
potential
impact
of
urban
structure,
as
population
density
and
proximity
to
essential
facilities,
on
spatial
variability
infectious
disease
cases
remains
underexplored.
Aim
To
analyse
the
variation
COVID-19
case
intensity
in
relation
distance
from
facilities
(as
contagion
hubs),
by
comparing
Alpha
Omicron
wave
data
representing
periods
both
enacted
lifted
non-pharmaceutical
interventions
(NPIs)
Málaga.
Methods
Using
point
pattern
analysis,
we
examined
density,
hospitals,
health
centres,
schools,
markets,
shopping
malls,
sports
centres
nursing
homes
non-parametric
estimation
relative
dependence
these
covariates.
For
statistical
significance
effect
size,
performed
Berman
Z
1
tests
Areas
Under
Curves
(AUC)
for
Receiver
Operating
Characteristic
(ROC)
curves.
Results
After
accounting
remained
consistent
across
waves.
Although
estimations
showed
fluctuations
with
Berman’s
Z1
were
significant
only
(p
<
0.032)
when
compared
complete
randomness.
AUC
ROC
curves
was
above
0.75
ca
0.6
all
facilities.
Conclusion
reflect
difficulty
assessing
facilities’
propagating
disease,
particularly
compact
cities.
Lack
evidence
directly
linking
higher
shows
need
clarify
role
structure
planning
shaping
distribution
epidemics
within
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Фев. 28, 2023
In
late
2019,
the
coronavirus
disease
2019
(COVID-19)
pandemic
soundlessly
slinked
in
and
swept
world,
exerting
a
tremendous
impact
on
lifestyles.
This
study
investigated
changes
infection
rates
of
COVID-19
urban
built
environment
45
areas
Manhattan,
New
York,
relationship
between
factors
COVID-19.
was
used
as
outcome
variable,
which
represents
situation
under
normal
conditions
vs.
non-pharmacological
intervention
(NPI),
to
analyze
macroscopic
(macro)
microscopic
(micro)
environment.
Computer
vision
introduced
quantify
material
space
places
from
street-level
panoramic
images
streetscape.
The
then
extracted
micro
were
composed
two
parts.
first
level,
buildings,
Panoramic
View
Green
Index,
roads,
sky,
buildings
(walls).
second
streets'
green
structure,
consisted
macrophanerophyte,
bush,
grass.
macro
comprised
population
density,
traffic,
points
interest.
analyzed
correlations
multiple
levels
using
linear
regression
models.
It
also
effectively
explored
transmission
mechanism
its
influence
perspectives.
Buildings,
Год журнала:
2023,
Номер
14(1), С. 103 - 103
Опубликована: Дек. 30, 2023
High-density
communities
have
proliferated
globally
during
rapid
urbanization.
They
are
characterized
by
a
high
population
density
and
limited
per
capita
public
spaces,
making
them
susceptible
to
infectious
disease
risks.
The
impact
of
diseases
in
these
communities,
as
evident
the
COVID-19
pandemic,
underscores
their
vulnerabilities.
Yet,
research
on
prevention
high-density
areas
remains
limited.
This
study
aims
investigate
relationship
between
built
environment
transmission
urban
with
particular
focus
lessons
learned
pandemic.
Utilizing
Shenzhen
city
case
study,
this
collected
data
epidemic
trends
involved
generalized
linear
regression
analysis,
aiming
understand
key
factors
that
affect
spread
areas.
results
from
revealed
experience
higher
rates
compared
medium-
low-density
counterparts.
significant
identified
include
land
use
mixture
walkability,
showing
most
substantial
infection
rates.
Through
combination
qualitative
analysis
empirical
research,
we
constructed
conceptual
framework
linking
containment
measures,
non-pharmaceutical
interventions,
environment.
findings
emphasize
significance
health
development
offer
valuable
insights
for
tailored
planning
design.
These
crucial
promoting
healthy
sustainable
transformation
existing
communities.
