Journal of Urban Health,
Journal Year:
2023,
Volume and Issue:
100(2), P. 314 - 326
Published: Feb. 24, 2023
This
study
focuses
on
the
space-time
patterns
of
COVID-19
Omicron
wave
at
a
regional
scale,
using
municipal
data.
We
analyze
Basque
Country
and
Cantabria,
two
adjacent
regions
in
north
Spain,
which
between
them
numbered
491,816
confirmed
cases
their
358
municipalities
from
15th
November
2021
to
31st
March
2022.
The
seeks
determine
role
functional
urban
areas
(FUAs)
spread
variant
virus,
ESRI
Technology
(ArcGIS
Pro)
applying
intelligence
location
methods
such
as
3D-bins
emerging
hot
spots.
Those
help
identify
trends
types
problem
area,
spots,
level.
results
demonstrate
that
FUAs
do
not
contain
an
over-concentration
cases,
coefficient
is
under
1.0
relation
population.
Nevertheless,
have
important
drivers
upward
curve
wave.
Significant
spot
are
found
85.0%
FUA
where
98.9%
occur.
distribution
shows
spatially
stationary
linear
correlation
linked
demographically
progressive
(densely
populated,
young
profile,
with
more
children
per
woman)
well
connected
by
highways
railroads.
Based
this
research,
proposed
GIS
methodology
can
be
adapted
other
case
studies.
Considering
geo-prevention
WHO
Health
All
Policies
approaches,
research
findings
reveal
spatial
policymakers
tackling
pandemic
future
waves
society
learns
live
virus.
BMC Geriatrics,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: July 21, 2023
Abstract
Background
Attention
is
focused
on
the
health
and
physical
fitness
of
older
adults
due
to
their
increasing
age.
Maintaining
abilities,
including
safe
walking
movement,
significantly
contributes
perception
in
old
One
early
signs
declining
limited
mobility.
Approximately
one
third
70-year-olds
most
80-year-olds
report
restrictions
mobility
apartments
immediate
surroundings.
Restriction
or
loss
a
complex
multifactorial
process,
which
makes
prone
falls,
injuries,
hospitalizations
worsens
quality
life
while
overall
mortality.
Objective
The
objective
study
identify
factors
that
have
had
significant
impact
recent
years
currently,
gaps
our
understanding
these
factors.
aims
highlight
areas
where
further
research
needed
new
effective
solutions
are
required.
Methods
PRISMA
methodology
was
used
conduct
scoping
review
Scopus
Web
Science
databases.
Papers
published
from
2007
2021
were
searched
November
2021.
Of
these,
52
papers
selected
initial
788
outputs
for
final
analysis.
Results
analyzed,
key
determinants
found
be
environmental,
physical,
cognitive,
psychosocial,
confirms
findings
previous
studies.
determinant
technological.
New
lie
interactions
between
different
mobility,
addressing
environmental
factors,
exploring
opportunities
context
emerging
technologies,
such
as
integration
smart
home
design
accessible
age-friendly
public
spaces,
development
policies
regulations,
exploration
innovative
financing
models
support
assistive
technologies
into
lives
seniors.
Conclusion
For
an
comprehensive
solution
senior
cannot
solved
separately.
Physical,
technological
can
often
perceived
cause/motivation
Further
help
arrive
at
determinants,
which,
turn,
will
improve
Future
studies
should
investigate
financial
aspects,
especially
since
many
expensive
not
commonly
available,
limits
use.
JMIR Public Health and Surveillance,
Journal Year:
2025,
Volume and Issue:
11, P. e64914 - e64914
Published: Feb. 18, 2025
Abstract
Background
Human
mobility
is
expected
to
be
a
critical
factor
in
the
geographic
diffusion
of
infectious
diseases,
and
this
assumption
led
implementation
social
distancing
policies
during
early
fight
against
COVID-19
emergency
United
States.
Yet,
because
substantial
data
gaps
past,
what
still
eludes
our
understanding
are
following
questions:
(1)
How
does
contribute
spread
infection
within
States
at
local,
regional,
national
scales?
(2)
do
seasonality
shifts
behavior
affect
over
time?
(3)
At
level
homogeneous
across
States?
Objective
This
study
aimed
address
questions
that
for
developing
accurate
transmission
models,
predicting
spatial
propagation
disease
scales,
optimal
geographical
temporal
scale
control
policies.
Methods
We
analyzed
high-resolution
from
mobile
app
usage
SafeGraph
Inc,
mapping
daily
connectivity
between
US
counties
grasp
clustering
stability.
Integrating
into
spatially
explicit
model,
we
replicated
SARS-CoV-2’s
first
wave
invasion,
assessing
mobility’s
spatiotemporal
impact
on
predictions.
Results
Analysis
2019
2021
showed
patterns
remained
stable,
except
decline
April
2020
due
lockdowns,
which
reduced
movements
45
million
approximately
25
nationwide.
Despite
reduction,
intercounty
seasonally
largely
unaffected
phase,
with
median
Spearman
coefficient
0.62
(SD
0.01)
gravity
networks.
identified
104
clusters
strong
internal
weaker
links
outside
these
clusters.
These
were
stable
time,
overlapping
state
boundaries
(normalized
mutual
information=0.82)
demonstrating
high
stability
information=0.95).
Our
findings
suggest
relatively
static
substate
level.
Furthermore,
while
county-level,
best
captures
aggregated
cluster
also
effectively
models
diffusion.
Conclusions
work
demonstrates
was
negligibly
affected
lockdown
period
2020,
explaining
broad
distribution
outbreaks
phase
pandemic.
Such
geographically
dispersed
place
significant
strain
public
health
resources
necessitate
complex
metapopulation
modeling
approaches
dynamics
design.
thus
inform
design
such
balance
predictability
low
requirements.
Environment and Planning B Urban Analytics and City Science,
Journal Year:
2022,
Volume and Issue:
49(5), P. 1507 - 1535
Published: April 1, 2022
The
impacts
of
disasters
are
increasing
due
to
climate
change
and
unplanned
urbanization.
Big
open
data
offer
considerable
potential
for
analyzing
predicting
human
mobility
during
disaster
events,
including
the
COVID-19
pandemic,
leading
better
risk
reduction
(DRR)
planning.
However,
value
analysis
(HMDA)
in
urban
resilience
research
is
poorly
understood.
This
review
highlights
key
opportunities
challenges
hindering
use
HMDA
DRR
planning
science,
as
well
insights
from
practitioners.
A
gap
on
data-driven
was
identified.
By
examining
studies
their
respective
analytical
tools,
this
paper
offers
deeper
into
that
must
be
addressed
improve
development
effective
planning,
collection
implementation.
In
future
work
HMDA,
(i)
vulnerable
populations
should
targeted,
(ii)
focus
mitigation
prevention,
(iii)
methods
evidence-based
developed,
(iv)
different
types
integrated
analyses
overcome
methodological
challenges,
(v)
a
decision-making
framework
developed
through
transdisciplinary
knowledge
co-production.
Transportation Letters,
Journal Year:
2023,
Volume and Issue:
16(1), P. 43 - 88
Published: Jan. 2, 2023
In
the
wake
of
COVID-19
pandemic,
scholars
mobilized
their
efforts
to
address
its
far-reaching
societal
problems.
With
mobility
restrictions
being
front
and
center
a
new
cohort
transportation
science
was
developed
within
short
period
time.
Here,
we
examine
more
than
400
studies
related
published
across
journals
during
2020
2021.
The
aim
is
(i)
scope
this
newly
segment
research,
(ii)
outline
diversity
pandemic-related
issues
various
divisions
field
(iii)
provide
roadmap
for
future
line
research.
Common
themes
are
identified
existing
congruence
discrepancies
findings
discussed.
Results
show
that
although
conventional
methods
research
were
adopted
in
virtually
all
studies,
no
pre-pandemic
study
particularly
instrumental
development
literature.
appears
have
own
independent
knowledge
foundation,
that,
it
does
not
systemically
frequently
look
back
at
any
particular
reference.
Potential
impacts
on
metrics
quantified
Transportation Research Record Journal of the Transportation Research Board,
Journal Year:
2022,
Volume and Issue:
unknown
Published: Aug. 22, 2022
The
COVID-19
pandemic
has
highlighted
the
importance
of
information
and
communication
technologies
(ICTs)
in
providing
virtual
engagement.
Planners
engineers
must
determine
whether
cities
will
see
reductions
travel
demand,
given
increasing
use
ICTs.
Notably,
ICTs
facilitate
online
shopping
working
from
home
(WFH).
Generally,
may
lead
to
fewer
trips;
similarly,
WFH
reduce
work-related
trips.
However,
more
potential
generate
other
non-work
trips,
including
To
find
answers
explore
interdependencies,
this
study
integrates
pre-pandemic
behavioral
data
with
during-pandemic
data.
In
our
framework,
are
considered
together.
By
harnessing
2017
National
Household
Travel
Survey
data,
jointly
analyzes
relationships
between
shopping,
a
conditional
mixed
process
model
that
can
address
unobserved
endogeneity
selection
bias.
results
suggest
that,
before
pandemic,
was
associated
in-person
trips
while
role
socio-demographic,
locational,
travel-related
factors
is
also
explored.
analysis
capture
how
affected
behavior.
Results
show
among
key
variables
found
similar
but
differ
magnitude
during
pandemic.
increased
12%
61%
COVID-19,
admittedly
an
unusual
situation.
next
“new
normal,”
planners
improve
demand
models
by
treating
explicitly
as
alternative
traveling
work
trip
generation
time
day
models.
Cities,
Journal Year:
2023,
Volume and Issue:
141, P. 104519 - 104519
Published: Aug. 9, 2023
Density
has
gained
considerable
attention
in
policy
and
scientific
discourses
since
the
emergence
of
COVID-19.
In
early
days,
density
was
blamed
as
a
negative
factor
that
accelerates
transmission
coronavirus
urban
areas.
Following
this,
many
studies
have
examined
impact
on
spread
This
offers
good
opportunity
to
examine
synthesize
insights
reported
literature
understand
how
affected
virus.
To
do
so,
we
conducted
systematic
review
134
papers,
which
around
58
%
them
found
positive
predictor.
However,
relationship
between
virus
is
complex
mediated
by
factors
such
scale,
context,
methods
used
for
analysis,
other
built
environment
factors.
Hence,
assert
infection
rate
not
straightforward,
assertions
about
effects
COVID-19
can
only
be
made
with
caution.
Comprehensive
analyses
taking
into
account
multiple
interrelated
need
carried
out
before
any
conclusions
regarding
this
issue
drawn.
Therefore,
it
advisable
refrain
from
making
premature
statements
due
their
potential
adverse
efforts
toward
development
cities
are
resilient
climate
change
contribute
achieving
sustainable
goals.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2568 - 2568
Published: March 21, 2024
On
11
March
2020,
the
World
Health
Organisation
(WHO)
classified
COVID-19
outbreak
as
a
global
pandemic
and,
in
consequence,
many
countries
took
steps
to
prevent
importation
and
subsequent
local
transmission
of
SARS-CoV-2
virus,
resulting
restrictions
on
economic
activity,
transport,
travel,
daily
mobility.
Although
its
impact
mobility
have
been
widely
addressed
literature,
there
is
limited
number
studies
that
indicate
what
extent
these
changes
become
permanent.
The
purpose
this
study
was
determine
nature
scale
transport
system
large
city
Poland
(Łódź)
above
all,
identify
permanence
impact.
To
accomplish
objectives,
questionnaire
survey
conducted
using
computer-assisted
telephone
interviewing
(CATI)
technique
sample
500
residents,
which
included
questions
period
before
(autumn
2019)
after
2022)
pandemic.
In
addition,
results
were
juxtaposed
with
data
from
intelligent
systems
(ITS)
(data
20
induction
loops,
tickets
validated
public
vehicles).
Not
only
did
change
frequency
spatial
motivations,
but
it
also
affected
trip
durations
preferred
modes
transport.
most
unfavourable
concern
modal
division
increase
use
private
at
expense
Understanding
durability
population
may
help
develop
policies
resilience
possible
future
pandemics.