Applications of geographical information system and spatial analysis in Indian health research: a systematic review
BMC Health Services Research,
Год журнала:
2024,
Номер
24(1)
Опубликована: Ноя. 21, 2024
Health
is
a
fundamental
right
intricately
linked
to
geographical
factors,
as
evidenced
in
the
health
geography
literature.
The
application
of
information
systems
(GISs)
plays
pivotal
role
mapping
diseases
and
evaluating
healthcare
accessibility
acknowledged
by
World
Organisation
solution
for
enhancing
system
resilience
achieving
universal
coverage.
This
study
focuses
on
perspectives
provide
insights
into
evolving
GIS
addressing
challenges
shaping
strategies
research
within
India.
primary
objective
was
analyse
utilisation
GISs
studies
specifically
three
thematic
areas:
disease
surveillance,
risk
assessment,
access.
databases
were
searched
using
sixteen
keywords
peer-reviewed
articles
published
during
2000–2022.
A
systematic
literature
survey
conducted,
drawing
from
available
PubMed,
Web
Science
Scopus
databases.
Out
162
search
results,
58
selected
review
after
rounds
eliminations
based
predefined
specific
criteria.
conducted
following
PRISMA
guidelines
two
questions.
reveals
extensive
use
since
its
inception,
with
particular
prominence
decision-making
tool
aftermath
COVID-19
outbreak.
analysis
scientific
focused
access
Indian
context
demonstrates
effectiveness
managing
planning
resources
services.
has
proven
be
an
indispensable
instrument
understanding
spatial
patterns
optimising
interventions.
underscores
critical
research,
particularly
context.
versatile
applications
highlight
strategies,
contributing
more
resilient
accessible
India
beyond.
Язык: Английский
Analysis and prediction of infectious diseases based on spatial visualization and machine learning
Yunyun Cheng,
Yanping Bai,
Jing Yang
и другие.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Ноя. 19, 2024
Infectious
diseases
are
a
global
public
health
problem
that
poses
threat
to
human
society.
Since
the
1970s,
constantly
mutated
new
infectious
viruses
have
been
quietly
attacking
humanity,
and
at
least
one
type
of
disease
is
discovered
every
year.
Therefore,
early
warning
will
greatly
reduce
socio-economic
harm
diseases.
This
study
based
on
data
COVID-19
epidemic
in
China
(except
Macau
Taiwan
Province)
from
2020
2022.
Firstly,
we
used
ArcGIS
software
analyze
spatial
agglomeration
pattern
number
patients
various
regions
through
autocorrelation
analysis,
local
center
gravity
trajectory
migration
algorithm
other
statistical
tools;
In
addition,
areas
with
serious
requiring
special
attention
were
screened
out.
Then,
autoregressive
integrated
moving
average
model
(ARIMA),
extreme
learning
machine
(ELM),
support
vector
regression
(SVR),
wavelet
neural
network
(Wavelet),
recurrent
(RNN)
long
short-term
memory
(LSTM)
predict
Guangdong
Province,
China;
And
prediction
performance
each
was
compared
accuracy
indicators.
Finally,
multi
fusion
stacking
technology
proposed
address
poor
generalization
ability
single
models
prediction;
Furthermore,
radial
basis
function
(RBF)
as
two-level
meta
learner
fuse
above
models,
particle
swarm
optimization
(PSO)
optimize
RBF
parameters
error.
The
experimental
results
show
better
than
dataset.
order
apply
diseases,
applied
dataset
AIDS
pulmonary
tuberculosis
(PTB)
cases,
verified
wide
applicability
our
Язык: Английский
Spatiotemporal Dynamics of COVID‐19 Pandemic City Lockdown: Insights From Nighttime Light Remote Sensing
GeoHealth,
Год журнала:
2024,
Номер
8(6)
Опубликована: Июнь 1, 2024
Abstract
The
global
COVID‐19
outbreak
severely
hampered
the
growth
of
economy,
prompting
implementation
strictest
prevention
policies
in
China.
Establishing
a
significant
relationship
between
changes
nighttime
light
and
lockdowns
from
geospatial
perspective
is
essential.
In
remote
sensing,
we
evaluated
spatiotemporal
dynamic
effects
city
on
human
activity
intensity
Zhengzhou
region.
Prior
to
outbreak,
region
maintained
trend,
even
under
regular
control
measures.
However,
following
October
2022
lockdown,
experienced
substantial
decrease.
central
area
Zhengzhou,
decreased
by
at
least
18%
compared
pre‐lockdown
levels,
while
sub‐center,
decrease
was
around
14%.
areas
where
most
were
primarily
within
15
km
radius,
concentrated
5
radius.
These
both
statistical
data
underscored
impact
lockdown
economic
activities
Язык: Английский
China’s Largest City-Wide Lockdown: How Extensively Did Shanghai COVID-19 Affect Intensity of Human Activities in the Yangtze River Delta?
Remote Sensing,
Год журнала:
2023,
Номер
15(8), С. 1989 - 1989
Опубликована: Апрель 10, 2023
COVID-19
has
been
the
most
widespread
and
far-reaching
public
health
emergency
since
beginning
of
21st
century.
The
Chinese
lockdown
comprehensive
strict
in
world.
Based
on
Shanghai
outbreak
2022,
we
analyzed
heterogeneous
impact
human
activities
urban
economy
using
monthly
nighttime
light
data.
We
found
that
Yangtze
River
Delta
is
very
obvious.
number
counties
Shanghai,
Jiangsu,
Zhejiang
Anhui
showing
a
downward
trend
MNLR
(Mean
Nighttime
Light
Radiation)
100%,
97%,
99%
85%,
respectively.
Before
COVID-19,
proportion
with
was
19%,
67%,
22%
33%,
Although
some
also
decreased
2019,
scope
intensity
far
less
than
2022.
Under
regular
containment
(2020
2021),
showed
significant
increase
(MNLR
change
>
0).
According
to
NLRI
(Nighttime
Radiation
Influence),
significantly
affected
surrounding
provinces
(Average
<
Jiangsu
province
other
Shanghai.
At
same
time,
Chengdu-Chongqing,
Guangdong–Hong
Kong–Macao
Triangle
Central
China
have
no
obvious
linkage
effect.
Язык: Английский
Geographical Distribution and Social Justice of the COVID‐19 Pandemic: The Case of Palma (Balearic Islands)
GeoHealth,
Год журнала:
2023,
Номер
7(2)
Опубликована: Янв. 24, 2023
The
spatial
distribution
of
the
COVID-19
infection
rate
in
city
Palma
(Balearic
Islands)
is
analyzed
from
geolocation
positive
cases
by
census
tract
and
its
relationship
with
socioeconomic
variables
evaluated.
Data
on
infections
have
been
provided
Health
Service
Ministry
Consumption
Government
Balearic
Islands.
study
combines
several
methods
analysis:
autocorrelation,
calculation
Gini
index
least
squares
regression,
weighted
geographical
regression.
results
show
that
pandemic
comprised
five
waves
March
2020-March
2022
period,
corresponding
to
months
April
2020,
August
December
July
2021,
January
2022.
Each
wave
shows
a
particular
pattern,
however,
second
third
higher
levels
concentration.
In
this
sense,
wave,
affecting
peripheral
neighborhoods
eastern
part
city.
confirms
imbalances
first
pandemic.
addition,
regression
models
indicate
most
significant
prediction
are
average
income,
percentage
children
under
18
years
age,
size
household,
single-person
households.
economic
had
clear
influence
pattern
distribution.
It
need
implement
justice
policies
income
balance
effects
Язык: Английский
Investigating the cause of a 2021 winter wave of COVID-19 in a border region in eastern Germany: a mixed-methods study, August to November 2021
Buqing Yi,
Eva Patrasová,
Lenka Šimůnková
и другие.
Epidemiology and Infection,
Год журнала:
2024,
Номер
152
Опубликована: Янв. 1, 2024
Abstract
It
is
so
far
unclear
how
the
COVID-19
winter
waves
started
and
what
should
be
done
to
prevent
possible
future
waves.
In
this
study,
we
deciphered
dynamic
course
of
a
wave
in
2021
Saxony,
state
Eastern
Germany
neighbouring
Czech
Republic
Poland.
The
study
was
carried
out
through
integration
multiple
virus
genomic
epidemiology
approaches
track
transmission
chains,
identify
emerging
variants
investigate
changes
clusters.
For
identified
local
interest,
functional
evaluations
were
performed.
Multiple
long-lasting
community
clusters
have
been
acting
as
driving
force
for
2021.
Analysis
courses
two
representative
indicated
similar
pattern.
However,
cluster
caused
by
locally
occurring
new
Delta
variant
AY.36.1
showed
distinct
pattern,
analyses
revealed
replication
advantage
it.
This
that
starting
since
early
autumn
imported
or
all
contributed
development
wave.
information
achieved
might
help
pandemic
prevention.
Язык: Английский
Investigating the cause of a 2021 winter wave of COVID-19 in a border region in Eastern Germany: a mixed-methods study, August to November 2021
Buqing Yi,
Alexa Laubner,
Marlena Stadtmüller
и другие.
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2022,
Номер
unknown
Опубликована: Окт. 17, 2022
Abstract
In
winter
2020
and
2021
many
countries
worldwide
experienced
a
COVID-19
pandemic
wave
which
led
to
severe
burdens
on
healthcare
systems
huge
economic
losses.
Yet,
it
remains
unclear
how
the
waves
started
debates
are
ongoing
about
actions
necessary
prevent
future
waves.
this
study
we
deciphered
dynamic
course
of
in
Saxony,
state
Eastern
Germany
neighboring
Czech
Republic
Poland.
The
information
achieved
might
help
prevention.
Saxony
was
investigated
through
integration
multiple
virus
genomic
epidemiology
approaches
functional
evaluations
locally
circulating
variants.
Through
international
collaborations,
performed
analysis
weekly
base
with
samples
from
also
one
neighbor
region
Republic.
Phylogeny
analyses
were
used
track
transmission
chains,
monitor
genetic
changes
identify
emerging
Phylodynamic
have
been
applied
clusters.
For
identified
local
variants
interest,
active
viruses
isolated
performed.
Genomic
studies
revealed
long-lasting
community
clusters
acting
as
major
driving
forces
for
2021.
Analysis
courses
two
representative
indicated
similar
changes.
first
6-8
weeks,
relevant
variant
mainly
small
among
young
middle-aged
people;
after
eight
ratio
people
aged
above
60
years
infected
population
markedly
increased,
got
more
widely
spread
distant
regions.
On
other
hand,
cluster
caused
by
occurring
showed
different
pattern.
It
geographically
distributed
within
six
being
since
beginning
cluster,
indicating
higher
risk
escalating
burdens.
This
displayed
relative
growth
advantage
compared
co-circulating
Delta
sub-lineages.
Functional
replication
advantage,
but
no
immune
evasion
ability.
that
starting
between
August
October
imported
well
all
contributed
development
Saxony.
particular,
derived
certain
stressed
systems.
Язык: Английский
Pemetaan Topografi di Area Perkebunan Kelapa Sawit Wanasari, Kecamatan Muara Wahau, Kabupaten Kutai Timur, Provinsi Kalimantan Timur
Buletin Loupe,
Год журнала:
2023,
Номер
19(01), С. 17 - 26
Опубликована: Июнь 29, 2023
Pemetaan
merupakan
bagian
pekerjaan
yang
sangat
penting
pada
bidang
pembangunan,
khususnya
di
zaman
modern
ini.
akurat
dan
baik
akan
menghasilkan
data-data
pula,
sehingga
dapat
dijadikan
sebagai
acuan
dalam
pembangunan
skala
kecil,
menengah
maupun
besar.
Oleh
karena
itu,
melaksanakan
pemetaan
hendaknya
menggunakan
alat
mampu
mengaplikasikan
teknik-teknik
pengukuran
benar.
Total
station
salah
satu
digunakan
tersebut.
digital
mengukur
jarak
sudut
secara
sekaligus
merekam
data
elektronik.
ini
bertujuan
untuk
memetakan
suatu
tanah
dengan
output
dihasilkan
berupa
peta
topografi
area
perkebunan
kelapa
sawit
Wanasari
Kecamatan
Muara
Wahau
Kabupaten
Kutai
Timur
Provinsi
Kalimantan
Timur.
Metode
Station
Sokkia
Tipe
CX
103
prisma
pengolahan
software
PC-CDU,
SOKKIA
Link
Tools,
Land
Dekstop.
Hasil
didapatkan
elevasi
permukaan
asli
luas
230,64
Ha.
Titik
terendah
berada
titik
P9
2,01
m.
Hal
disebabkan
daerah
tersebut
rawa-rawa.
Sedangkan
tertinggi
Bench
Mark
(BM)
Elevasi
3,00
berbukit.