Environmental Science and Pollution Research,
Год журнала:
2022,
Номер
29(34), С. 51507 - 51520
Опубликована: Март 4, 2022
This
study
aims
to
analyze
the
spatial
distribution
of
epidemic
spread
and
role
physical,
social,
economic
characteristics
in
this
spreading.
A
geographically
weighted
regression
(GWR)
model
was
built
within
a
GIS
environment
using
infection
data
monitored
by
Iraqi
Ministry
Health
records
for
10
months
from
March
December
2020.
The
factors
adopted
are
size
urban
interaction
areas
human
gatherings,
movement
level
accessibility,
volume
public
services
facilities
that
attract
people.
results
show
it
would
be
possible
deal
with
each
administrative
unit
proportion
its
circumstances
light
appear
it.
So,
there
will
not
single
treatment
all
different
characteristics,
which
sometimes
helps
stop
social
life
due
imposition
comprehensive
ban
on
activities.
Therefore,
other
supportive
policies
than
ban,
depending
indicators
region,
such
as
reducing
external
or
relying
preventing
activities
only.
Sustainable Cities and Society,
Год журнала:
2021,
Номер
75, С. 103262 - 103262
Опубликована: Авг. 13, 2021
In
Spain,
the
COVID-19
confinement
was
carried
out
in
spring
of
2020.
All
non-essential
activities
were
temporarily
suspended.
This
brought
with
it
adaptation
to
home
office
(telework),
still
emerging
Europe,
and
more
Spain.
Although
response
general
has
been
positive,
conditions
which
families
have
subjected
telework
cannot
be
considered
normal.
this
context,
an
online
survey
requested
find
experience
confined
households
relation
dwelling
satisfaction
following
new
needs
lockdown.
The
data
obtained
on
workspace
perception
its
adequacy
studied
Madrid,
stratified
by
gender
average
income,
for
a
sample
256
people
teleworking
or
studying.
results
showed
that
spaces
insufficient
third
households,
no
significant
relationship
most
socioeconomic
variables,
nor
characteristics.
variables
related
inadequacy
were:
number
who
work
study
at
home;
lack
exclusive
teleworking;
availability
digital
resources.
also
depended
qualities
space,
as
size,
furniture
lighting,
among
others.
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(14), С. 8267 - 8267
Опубликована: Июль 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.
iScience,
Год журнала:
2022,
Номер
25(11), С. 105297 - 105297
Опубликована: Окт. 7, 2022
Since
early
2020,
researchers
have
made
efforts
to
study
various
issues
related
cities
and
the
pandemic.
Despite
wealth
of
research
on
this
topic,
there
are
only
a
few
review
articles
that
explore
multiple
it.
This
is
partly
because
rapid
pace
publications
makes
systematic
literature
challenging.
To
address
issue,
in
present
study,
we
rely
bibliometric
analysis
techniques
gain
an
overview
knowledge
structure
map
key
themes
trends
Results
2,799
show
mainly
focuses
six
broad
themes:
air
quality,
meteorological
factors,
built
environment
transportation,
socio-economic
disparities,
smart
cities,
with
first
three
being
dominant.
Based
findings,
discuss
major
lessons
can
be
learned
from
pandemic
highlight
areas
need
further
research.
Sustainable Cities and Society,
Год журнала:
2023,
Номер
97, С. 104743 - 104743
Опубликована: Июнь 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.
