GEOGRAPHY ENVIRONMENT SUSTAINABILITY,
Journal Year:
2021,
Volume and Issue:
14(4), P. 117 - 124
Published: Dec. 29, 2021
The
spread
of
the
2019
novel
coronavirus
disease
(COVID-19)
has
engulfed
world
with
a
rapid,
unexpected,
and
far-reaching
global
crisis.
In
study
COVID-19,
Geographic
Information
Systems
(GIS)
Remote
Sensing
(RS)
have
played
an
important
role
in
many
aspects,
especially
fight
against
COVID-19.
This
review
summarises
102
scientific
papers
on
applications
GIS
RS
studies
COVID-19
pandemic.
this
study,
two
themes
RS-related
are
grouped
into
six
categories
including
spatio-temporal
changes,
WebGISbased
mapping,
correlation
between
natural,
socio-economic
factors,
environmental
impacts.
findings
provide
insight
how
to
apply
new
techniques
(GIS
RS)
better
understand,
manage
evolution
pandemic
effectively
assess
its
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(14), P. 8267 - 8267
Published: July 6, 2022
The
spread
of
the
COVID-19
pandemic
was
spatially
heterogeneous
around
world;
transmission
disease
is
driven
by
complex
spatial
and
temporal
variations
in
socioenvironmental
factors.
Spatial
tools
are
useful
supporting
control
programs.
A
substantive
review
merits
methodological
approaches
used
to
understand
epidemiology
hardly
undertaken.
In
this
study,
we
reviewed
identify
spatiotemporal
socioeconomic,
demographic
climatic
drivers
such
variations.
We
conducted
a
systematic
literature
search
studies
published
English
from
Embase,
Scopus,
Medline,
Web
Science
databases
1
January
2019
7
September
2021.
Methodological
quality
assessments
were
also
performed
using
Joanna
Briggs
Institute
(JBI)
risk
bias
tool.
total
154
met
inclusion
criteria
that
frequentist
(85%)
Bayesian
(15%)
modelling
clusters
associated
models
incorporated
various
spatial,
effects
into
schemes.
This
highlighted
need
for
more
local-level
advanced
through
multi-level
framework
prevention
strategies.
Journal of Urban Management,
Journal Year:
2021,
Volume and Issue:
11(1), P. 6 - 22
Published: Sept. 6, 2021
Compact
development
is
broadly
professed
for
making
significant
contributions
to
achieve
sustainable
growth
of
cities.
Therefore,
evaluation
the
existing
compactness
urban
areas
crucial
guiding
future
development.
Previous
studies
measured
areas'
at
a
city
or
metropolitan
scale
in
developed
country
context.
Hence,
considerable
research
gap
exists
studying
neighborhood
scale,
especially
from
developing
country.
This
paper
aims
evaluate
and
compare
level
neighborhoods
GIS
environment
through
six
indicators-population
density,
evenness
development,
clustering
nature
land-use
diversity,
floor
use
mix,
road
network
connectivity
eight
Dhaka
city,
Bangladesh.
For
this,
study
Composite
Compactness
Index
(CCI)
based
on
multi-criteria
decision-making
(MCDM)
approach.
Study
results
classified
four
as
low
compact,
three
moderately
one
high
compact
neighborhood.
Travel
behavior
analysis
modal
share,
travel
time,
distance
validated
neighborhoods'
tenability.
Here,
identified
moderate
require
immediate
planning
interventions
improving
their
level.
Results
this
can
work
preliminary
guideline
planners,
policymakers,
agencies
designing
more
efficient
form
scale.
The
methodology
presented
here
be
applied
other
with
refinements
necessary
corresponding
geographic
location.
Sustainable Cities and Society,
Journal Year:
2023,
Volume and Issue:
97, P. 104743 - 104743
Published: June 28, 2023
This
research
investigates
the
relationship
between
COVID-19
and
urban
factors
in
Tokyo.
To
understand
spread
dynamics
of
COVID-19,
study
examined
53
variables
(including
population
density,
socio-economic
status,
housing
conditions,
transportation,
land
use)
municipalities
Tokyo
prefecture.
Using
spatial
models,
analysed
patterns
predictors
infection
rates.
The
findings
revealed
that
cases
were
concentrated
central
Tokyo,
with
clustering
levels
decreasing
after
outbreaks.
rates
higher
areas
a
greater
density
retail
stores,
restaurants,
health
facilities,
workers
those
sectors,
public
transit
use,
telecommuting.
However,
household
crowding
was
negatively
associated.
also
found
telecommuting
rate
strongest
according
to
regression
model
time-fixed
effects,
which
had
best
validation
stability.
study's
results
could
be
useful
for
researchers
policymakers,
particularly
because
Japan
have
unique
circumstances,
as
there
no
mandatory
lockdown
during
pandemic.
International Journal of Environmental Research and Public Health,
Journal Year:
2021,
Volume and Issue:
18(14), P. 7561 - 7561
Published: July 15, 2021
The
coronavirus
disease
2019
pandemic
has
stimulated
intensive
research
interest
in
its
transmission
pathways
and
infection
factors,
e.g.,
socioeconomic
demographic
characteristics,
climatology,
baseline
health
conditions
or
pre-existing
diseases,
government
policies.
Meanwhile,
some
empirical
studies
suggested
that
built
environment
attributes
may
be
associated
with
the
mechanism
risk
of
severe
acute
respiratory
syndrome
2
(SARS-CoV-2).
However,
no
review
been
conducted
to
explore
effect
characteristics
on
risk.
This
gap
prevents
officials
urban
planners
from
creating
effective
design
guidelines
contain
SARS-CoV-2
infections
face
future
challenges.
summarizes
evidence
25
provides
an
overview
Virus
was
positively
density
commercial
facilities,
roads,
schools
public
transit
accessibility,
whereas
it
negatively
availability
green
spaces.
recommends
several
directions
for
studies,
namely
using
longitudinal
individual-level
data,
considering
multilevel
factors
extending
diversified
geographic
areas.
Spatial and Spatio-temporal Epidemiology,
Journal Year:
2022,
Volume and Issue:
41, P. 100493 - 100493
Published: Feb. 5, 2022
This
study
aims
to
elucidate
the
variations
in
spatiotemporal
patterns
and
sociodemographic
determinants
of
SARS-CoV-2
infections
Helsinki,
Finland.
Global
local
spatial
autocorrelation
were
inspected
with
Moran's
I
LISA
statistics,
Getis-Ord
Gi*
statistics
was
used
identify
hot
spot
areas.
Space-time
detect
clusters
high
relative
risk
regression
models
implemented
explain
for
clusters.
The
findings
revealed
presence
clustering
COVID-19
cases.
High-high
areas
emerged
primarily
Helsinki's
eastern
neighborhoods,
which
are
socioeconomically
vulnerable,
a
few
exceptions
revealing
outbreaks
other
variation
rates
largely
explained
by
median
income
number
foreign
citizens
population.
Furthermore,
use
multiple
analysis
methods
recommended
gain
deeper
insights
into
complex
Transportation Research Interdisciplinary Perspectives,
Journal Year:
2022,
Volume and Issue:
14, P. 100607 - 100607
Published: May 5, 2022
Transit-oriented
development
(TOD)
is
credited
with
improving
urban
residents'
quality
of
life
(QoL)
and
social
sustainability
by
ensuring
adequate
convenient
spatial
access
to
facilities.
However,
there
insufficient
empirical
evidence
suggest
that
TOD
likely
ensure
accessibility
facilities
in
developing
countries.
Using
Dhaka
as
a
case
study,
this
study
aims
at
answering
question
by:
a)
assessing
neighborhood's
potential
for
using
cluster
analysis
built
environment
(BE)
factors
(job-household
ratio,
cul-de-sac
density,
connected
node
land
use
diversity,
distance
transit
stop,
public
accessibility);
b)
authenticating
the
selection
types
based
on
travel
behavior
property
value;
c)
quantifying
an
integrated
index
two
time
periods
finding
their
association
TOD;
d)
identifying
relationship
among
BE
indicators
year
2019
Ordinary
Least
Square
(OLS),
Spatial
Lag
Model
(SLM),
Error
(SEM).
The
results
demonstrated
neighborhoods
possess
better
compared
non-TODs.
has
also
increased
significantly
areas
over
time.
Regression
models
indicate
statistically
significant
between
variables
indicators.
SEM
model
was
most
effective
describing
variation
geographic
when
other
regression
models-OLS
SLM.
These
findings
would
recommend
policymakers
planners
continue
advocate
