Emerging Science Journal,
Год журнала:
2022,
Номер
7, С. 17 - 28
Опубликована: Сен. 24, 2022
The
primary
objective
of
this
research
is
to
identify
commonly
used
data-driven
decision-making
techniques
for
contact
tracing
with
regards
Covid-19.
virus
spread
quickly
at
an
alarming
level
that
caused
the
global
health
community
rely
on
multiple
methods
tracking
transmission
and
disease
through
systematic
tracing.
Predictive
analytics
were
critical
in
determining
its
prevalence
incidence.
Articles
accessed
from
primarily
four
sources,
i.e.,
Web
Science,
Scopus,
Emerald,
Institute
Electrical
Electronics
Engineers
(IEEE).
Retrieved
articles
then
analyzed
a
stepwise
manner
by
applying
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISM)
guided
authors
eligibility
inclusion.
PRISM
results
evaluated
summarized
total
845
articles,
but
only
38
them
selected
as
eligible.
Logistic
regression
SIR
models
ranked
first
(11.36%)
supervised
learning.
90%
indicated
learning
useful
prediction.
most
common
specialty
healthcare
specialties
was
infectious
illness
(36%).
This
followed
closely
epidemiology
(35%).
Tools
such
Python
SPSS
(Statistical
Package
Social
Sciences)
also
popular,
resulting
25%
16.67%,
respectively.
Doi:
10.28991/ESJ-2023-SPER-02
Full
Text:
PDF
Society and Business Review,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 3, 2025
Purpose
“Sustainability”
in
a
health-care
context
is
defined
by
the
sustainable
development
goals
(SDGs)
adopted
United
Nations
2015,
and
particular
third
SDG.
Accordingly,
this
research
summarizes
seminal
studies
draw
on
it
to
identify
waves
of
challenges
affecting
sector.
This
study
aims
contribute
discourse
sustainability
organizations
(HCOs)
exploring
role
performance
monitoring
systems
(PMS),
such
as
balanced
scorecard
(BSC).
Design/methodology/approach
To
explore
issue
further,
authors
illustrate
transformation
model
HCOs,
from
inputs
outcomes.
The
rely
organizational
analysis/behavior
theories.
They
use
qualitative
case
approach
(the
American
University
Beirut
Medical
Center
Lebanon
–
AUBMC)
delve
into
intricacies
PMS
implementation
an
HCO.
Findings
authors’
findings
underline
operationalizing
within
HCOs.
By
adopting
PMS,
HCOs
can
facilitate
integration
environmental,
social
economic
factors
decision-making
processes.
enhance
their
create
long-term
value.
Research
limitations/implications
Despite
important
findings,
paper
not
enough
“generalize”
“replicate”
results.
However,
able
highlight
road
map
for
HCO’s
managers.
Furthermore,
does
take
account
impact
artificial
intelligence
design,
analysis
results
produced
PMS.
Practical
implications
highlights
importance
strong
leadership
well-defined
achieve
sustainability.
It
that
no
longer
just
about
reputation;
across
various
aspects.
Leaders
need
integrate
organization’s
mission,
vision
values.
Thus,
implementing
like
BSC
crucial.
On
other
hand,
focus
attract
retain
top
talent
who
are
increasingly
concerned
environmental
responsibility.
efforts
should
consider
patient
needs.
And
finally,
drive
innovation
through
developing
new
services,
partnerships
technologies
reduce
improve
financial
performance.
Social
how
aligns
with
supports
achieving
UN-SDGs
related
health
care
(SDG
3:
Ensure
healthy
lives
promote
well-being
all
at
ages).
conclude
to:
access
quality
(by
providing
more
efficient
operations
resource
allocation,
potentially
allowing
treat
patients
−
SDG
3.1,
3.8);
encourage
investments
preventative
programs
public
initiatives
contributing
healthier
population
reducing
treatment
burdens
3.3,
3.4);
support
responsibility
energy
consumption
waste
disposal
lessen
footprint
planet
3.9);
employee
creating
positive
work
environment
better
air
stress-reducing
practices,
improving
innovate
(sustainability
areas
telemedicine,
renewable
sources
powering
environmentally
friendly
medical
equipment
3.b).
Originality/value
contributes
emerging
field
empirical
evidence
goals.
offers
practical
insights
seeking
potential
strategic
management
tool.
Sustainability,
Год журнала:
2023,
Номер
15(2), С. 1616 - 1616
Опубликована: Янв. 13, 2023
Since
the
coronavirus
(COVID-19)
pandemic,
it
has
been
clear
that
health
dimension
(HEDm)
a
severe
impact
on
sustainability,
which
was
originally
considered
from
pillars
of
society,
environment
and
economy.
Hence,
integration
into
other
three
is
plausible
to
define
guidelines
criteria
for
progress
monitoring
policy
assessment
towards
health-sustainable
city.
The
objective
this
study
aims
present
Health
Sustainability
Model
(HSM),
four-dimensional
model
sustainability
(health,
economy,
environment,
society),
using
Del-phi
method
determine
potential
indicators
agreed
by
eighteen
experts,
including
physicians
who
deeply
understand
issues
assess
complex
dimensions
in
context
sustainability.
researchers
have
found
45
indicators,
later
grouped
15
elements
4
dimensions,
high
level
agreement
with
Kendall’s
W
(KW)
at
0.36.
HSM
then
examined
structural
equation
(SEM)
reliability
validity
shown
as
follows:
absolute
fit
CMIN/DF
=
1.44,
RMSEA
0.033,
GFI
0.96,
AGFI
0.94,
RMR
0.025,
incremental
NFI
CFI
0.98,
TLI
0.97,
IFI
0.98.
Based
results,
valid,
line
empirical
data.
For
further
application,
expected
support
city
planners
decision
makers
identifying
room
improvement
each
through
employed
model.
In
contrast
existing
studies
mainly
use
qualitative
data,
conducting
quantitative
assessment,
enables
objectively
evaluate
conditions
appropriately
design
policies
improve
residents’
well-being.
Electronics,
Год журнала:
2022,
Номер
11(16), С. 2520 - 2520
Опубликована: Авг. 11, 2022
The
COVID-19
pandemic
is
one
of
the
most
disruptive
outbreaks
21st
century
considering
its
impacts
on
our
freedoms
and
social
lifestyle.
Several
methods
have
been
used
to
monitor
diagnose
this
virus,
which
includes
use
RT-PCR
test
chest
CT/CXR
scans.
Recent
studies
employed
various
crowdsourced
sound
data
types
such
as
coughing,
breathing,
sneezing,
etc.,
for
detection
COVID-19.
However,
application
artificial
intelligence
machine
learning
algorithms
these
datasets
still
suffer
some
limitations
poor
performance
results
due
increase
misclassified
data,
limited
resulting
in
overfitting
deep
methods,
high
computational
cost
augmentation
models,
varying
quality
feature-extracted
images
reliability.
We
propose
a
simple
yet
effective
model,
called
DeepShufNet,
detection.
A
method
based
color
transformation
noise
addition
was
generating
synthetic
image
from
data.
efficiencies
dataset
were
evaluated
using
two
feature
extraction
approaches,
namely
Mel
spectrogram
GFCC.
proposed
DeepShufNet
model
breathing
COSWARA
dataset,
shows
improved
with
lower
misclassification
rate
minority
class.
achieved
an
accuracy,
precision,
recall,
specificity,
f-score
90.1%,
77.1%,
62.7%,
95.98%,
69.1%,
respectively,
positive
COCOA-2
augmented
training
datasets.
showed
compared
state-of-the-art-methods.
PLoS ONE,
Год журнала:
2023,
Номер
18(8), С. e0289615 - e0289615
Опубликована: Авг. 4, 2023
Addressing
risks
and
pandemics
at
a
country
level
is
complex
task
that
requires
transdisciplinary
approaches.
The
paper
aims
to
identify
groups
of
the
European
Union
countries
characterized
by
similar
COVID-19
Resilience
Index
(CRI).
Developed
in
CRI
index
reflects
countries'
risk
their
readiness
for
crisis
situation,
including
pandemic.
Moreover,
study
detects
factors
significantly
differentiate
distinguished
groups.
According
our
research,
Bulgaria,
Hungary,
Malta,
Poland
have
lowest
score,
with
Croatia,
Greece,
Czechia,
Slovakia
following
close.
At
same
time,
Ireland
Scandinavian
occupy
top
leader
board,
followed
Luxemburg.
Kruskal-Wallis
test
results
indicate
four
indicators
first
year
Among
significant
are
not
only
COVID-19-related
factors,
i.e.,
changes
residential
human
mobility,
stringency
anti-COVID-19
policy,
but
also
strictly
environmental
namely
pollution
material
footprint.
It
indicates
most
critical
global
issues
might
be
crucial
phase
future
we
detect
eight
analysed
economic
such
as
GDP
per
capita
labour
markets,
governance
Rule
Law,
Access
Information,
Implementation
Adaptability
measures,
social
Tertiary
Attainment
Research,
Innovation,
Infrastructure.
Buildings,
Год журнала:
2023,
Номер
13(6), С. 1459 - 1459
Опубликована: Июнь 2, 2023
Under
the
macro
context
of
severe
global
aging,
typical
villages
and
dwellings
Miao
ethnic
group
in
western
Hunan
were
selected,
daily
life
health
status
local
elderly
evaluated
through
behavioral
observation,
interviews,
questionnaires
(e.g.,
physiological,
psychological,
residential
environments).
In
addition,
relevant
evaluation
factors
respondents
correlated
then
analyzed
using
SPSS
software.
As
indicated
by
results
this
study,
used
all
spaces
functions
existing
satisfied
with
except
for
toilet.
their
physiological
had
declined,
behaviors
affected
a
wide
variety
physical
diseases.
From
psychological
perspective,
more
than
60%
significant
feelings
loneliness
frustration.
correlation
results,
traditional
was
positively
family,
income,
acts,
dwellings,
infrastructure,
negatively
age.
They
showed
linear
correlations
impact
factors:
Health
=
157.44
−
5.242
∗
Gender
1.611
Age
0.606
Education
level
0.411
Family
+
0.001
Income
7.191
Daily
acts
13.621
Dwelling
4.682
Infrastructure
17.198
Natural.
Based
on
targeted
improvement
strategies
proposed
from
four
aspects—infrastructure,
mental
health,
policy
support—to
improve
Chinese
towns.
iScience,
Год журнала:
2023,
Номер
26(9), С. 107599 - 107599
Опубликована: Авг. 11, 2023
This
study
investigated
whether
variability
in
air
quality,
especially
related
to
vehicular
emissions,
during
the
COVID-19
pandemic
could
indicate
social
distancing.
Data
from
situ
measurements
and
satellite
estimates
were
used.
The
areas
São
Paulo,
Brazil,
Bologna,
Italy.
We
focused
our
analysis
on
NO2,
a
combustion-derived
pollutant,
because
of
its
availability
surface
stations
tracking,
it
has
short
atmospheric
lifetime.
analyses
included
graphical,
statistical,
wavelet
transform-based
approaches
understand
NO2
concentrations
before
pandemic.
After
confirming
reduction
emissions
pandemic,
we
created
normalized
indices
assess
remoteness
2020
different
locations,
with
focus
Paulo
Bologna.
These
compared
existing
based
cell
phone
mobility.
proposed
this
suffered
high
sensitivity
distance
ones
helped
actual
application
contamination
rates,
considering
various
dimensions
problem.