International Journal of Environmental Research and Public Health,
Journal Year:
2023,
Volume and Issue:
20(5), P. 4155 - 4155
Published: Feb. 25, 2023
Clustering
algorithms
are
widely
used
to
mine
the
heterogeneity
between
meteorological
observations.
However,
traditional
applications
suffer
from
information
loss
due
data
processing
and
pay
little
attention
interaction
indicators.
In
this
paper,
we
combine
ideas
of
functional
analysis
clustering
regression,
propose
a
regression
learning
model
(FCR-HL),
which
respects
generation
process
while
incorporating
indicators
into
heterogeneity.
addition,
provide
an
algorithm
for
FCR-HL
automatically
select
number
clusters,
has
good
statistical
properties.
later
empirical
study
based
on
PM2.5
concentrations
PM10
in
China,
found
that
varies
significantly
regions,
showing
several
types
significant
patterns,
meteorologists
with
new
perspectives
further
effects
BMC Public Health,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 24, 2025
Diarrheal
infections
continue
to
be
a
major
public
health
concern
in
Bangladesh,
especially
urban
areas
where
population
density
and
environmental
variables
increase
dissemination
risks.
Identifying
the
intricate
connections
between
weather
diarrhea
epidemics
is
critical
for
developing
effective
remedies.
We
deploy
novel
approach
of
Wavelet-Autoregressive
Integrated
Moving
Average
with
Exogenous
Variable
(WARIMAX)
traditional
Autoregressive
(ARIMAX)
technique
forecast
incidence
by
analyzing
influence
climate
factors.
Higher
temperatures
are
associated
greater
diarrheal
occurrences,
demonstrating
vulnerability
fluctuations.
The
Wavelet-ARIMAX
method,
which
uses
wavelet
analysis
within
ARIMAX
structure,
better
at
forecasting
performance
model
fit
than
standard
model.
Based
on
climatic
variables,
can
accurately
predict
occurrence,
as
indicated
mean
absolute
error
(MAE),
root
squared
(RMSE),
logarithmic
(RMSLE).
outcomes
highlight
necessity
employing
advanced
time-series
modeling
tools
such
understand
anticipate
climate-health
interactions.
identify
time-varying
patterns
climate-disease
interactions,
providing
useful
insights
initiatives.
results
this
research
have
implications
climate-adaptive
planning,
emphasizing
need
focused
actions
reduce
impact
change
illness
burdens
towns
cities.
BIO Web of Conferences,
Journal Year:
2025,
Volume and Issue:
155, P. 10002 - 10002
Published: Jan. 1, 2025
Diarrhea
is
still
a
serious
public
health
problem
and
an
endemic
disease
in
Indonesia,
with
the
potential
for
outbreaks
that
frequently
result
mortality.
According
to
2018
Primary
Health
Research
data,
incidence
of
diarrhea
Indonesia
was
6.8%
all
ages
11%
toddlers.
one
diseases
associated
climate
variability.
The
goals
this
study
analyze
impact
variability
(air
temperature
humidity)
on
cases
Surakarta
City
from
2021
2022.
This
use
cross-sectional
method.
data
used
secondary
Statistics
Center.
Pearson
statistical
test
differences
between
variable.
results
showed
air
(p
=
0.01
r
1,000)
humidity
have
diarrhea.
In
conclusion,
had
positive
correlation
cases.
Public health reviews,
Journal Year:
2025,
Volume and Issue:
46
Published: Feb. 19, 2025
To
determine
the
impacts
of
climate
variability
on
foodborne
diarrhoeal
disease
worldwide.
This
work
was
performed
based
PRISMA
guideline.
Articles
were
retrieved
from
PubMed,
MEDLINE,
Web
Science,
Scopus,
DOAJ,
and
Google
Scholar.
The
search
made
using
Boolean
logic
operators,
medical
subject
headings,
main
keywords
related
to
diarrheal
disease.
STATA
version
17
used
perform
an
analysis.
quality
articles
evaluated
Joanna
Briggs
Institute
appraisal
tools.
present
study
included
54
with
estimates
103
findings.
An
increases
in
temperature,
relative
humidity,
precipitation,
rainfall,
flooding
associated
4%
[RR:
1.04;
95%
CI:
1.03,
1.05],
3%
1.03;
1.01,
1.06],
2%
1.02;
1.03],
1%
1.01;
1.00,
1.02],
42%
1.42;
1.26,
1.57]
disease,
respectively.
There
a
significant
association
between
variability,
indicate
need
for
building
climate-resilient
food
safety
system
reduce
identifier
CRD42024532430.
BMJ Paediatrics Open,
Journal Year:
2025,
Volume and Issue:
9(1), P. e002980 - e002980
Published: March 1, 2025
Background
Climate
change
is
expected
to
significantly
impact
child
nutrition,
worsening
global
health
inequities.
Indonesia,
a
country
highly
vulnerable
climate
change,
also
faces
substantial
malnutrition
challenges.
However,
comprehensive
knowledge
on
change’s
impacts
nutrition
in
Indonesia
limited.
This
study
addresses
this
gap
through
scoping
review
of
the
scientific
evidence
effects
Indonesia.
Methods
We
developed
conceptual
framework
based
literature
guide
our
systematic
search,
linking
and
its
determinants
Systematic
searches
were
conducted
English
Indonesian
Scopus,
Web
Science
PubMed,
supplemented
by
Google
Scholar
citation
screening.
included
peer-reviewed,
Scopus-indexed
studies
focused
examining
either
direct
or
indirect
nutrition.
A
narrative
synthesis
was
performed,
structured
around
outcomes
identified
framework:
(1)
nutrition-associated
conditions,
(2)
diets
disease,
(3)
social
dynamics
(4)
food
system
shocks.
Results
From
3025
records,
134
met
inclusion
criteria.
Studies
multicountry
including
(23%,
n=31),
Indonesia-specific
across
multiple
regions
(26%,
n=35)
region-specific,
mainly
Java
(22%,
n=29),
Sumatra
(11%,
n=14),
Kalimantan
(7%,
n=9)
Sulawesi
n=9).
Other
under-represented
(5%,
n=7).
Most
used
quantitative
methods
(87%,
n=116).
Few
assessed
links
between
nutritional
(n=5),
security
dietary
quality
(n=7);
more
pathways
such
as
disease
(n=49),
(n=18)
disruptions
(n=55).
Conclusions
Evidence
suggests
significant
highlighting
need
for
urgent
action.
Further
localised
that
consider
contextual
factors,
actions
strengthening
systems,
are
critical,
especially
most
both
malnutrition.
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: May 19, 2023
Studies
investigating
the
interconnection
of
health
poverty
and
climatic
variability
are
rare
in
spatial
perspectives.
Given
importance
sustainable
development
goals
3,
goal
10,
13,
we
explored
whether
geographic
regions
with
diverse
climate
structure
has
a
association
poverty;
disparities
exist
across
districts
Pakistan.
We
implied
A-F
methodology
to
estimate
MHP
index
using
PSLM
survey,
2019–20.
The
variables
were
extracted
from
online
NASA
website.
applied
techniques
Moran’s
I,
univariate
bivariate
LISA,
address
research
questions.
findings
revealed
that
magnitude
differs
districts.
Punjab
was
found
be
better-ff
whereas
Baluchistan
highest
poverty-stricken
province.
results
indicated
positive
associations
indicators
their
values
neighbors,
negative
between
indicators.
Also,
clusters
outliers
higher
significant
KP
provinces.
Government
intervention
policymaker’s
prioritization
needed
towards
health-related
social
indicators,
mainly
high
districts,
temperature
low
humidity
precipitation
rates,
especially
Baluchistan.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(7), P. e28574 - e28574
Published: March 26, 2024
Rotavirus
(RoV)
infections
have
emerged
as
a
significant
public
health
concern
around
the
world.
Understanding
relationship
between
climatic
conditions
and
hospitalisations
due
to
RoV
can
help
engage
effective
prevention
strategies.
This
study
aims
investigate
potential
associations
meteorological
variability
RoV-related
in
Kuala
Lumpur,
Malaysia.
Healthcare,
Journal Year:
2023,
Volume and Issue:
11(9), P. 1251 - 1251
Published: April 27, 2023
Diarrhea
contributes
significantly
to
global
morbidity
and
mortality.
There
is
evidence
that
diarrhea
prevalence
associated
with
ambient
temperature.
This
study
aimed
determine
if
there
was
an
association
between
temperature
at
a
rural
site
in
South
Africa.
Daily
diarrheal
hospital
admissions
(2007
2016)
two
large
district
hospitals
Mopani
district,
Limpopo
province
were
compared
average
daily
apparent
(Tapp,
'real-feel'
combined
temperature,
relative
humidity,
wind
speed).
Linear
regression
threshold
regression,
age-stratified
participants
≤5
years
>5
old,
considered
changes
by
unit
°C
increase
Tapp.
ranges
Tapp
2-42
-5-34
°C,
respectively.
For
every
1
6%
for
individuals
of
all
ages
(95%
CI:
0.04-0.08;
p
<
0.001)
4%
older
than
5
0.02-0.05;
0.001).
A
positive
linear
relationship
children
old
not
statistically
significant
-0.00-0.03;
=
0.107).
common
however,
more
likely
triggered
factors
other
temperature/Tapp,
while
it
increased
old.
We
are
limited
lack
data
on
confounders
effect
modifiers,
thus,
our
findings
exploratory.
To
fully
quantify
how
affects
admission
counts
diarrhea,
future
studies
should
include
socio-economic-demographic
as
well
WASH-related
such
personal
hygiene
practices
access
clean
water.
Agromet,
Journal Year:
2023,
Volume and Issue:
37(2), P. 99 - 107
Published: Nov. 10, 2023
Diarrhea
disease
presents
a
significant
public
health
concern
due
to
its
impact
on
mortality,
and
research
showed
that
climate
plays
an
important
role
diarrhea
prevalence.
However,
effect
of
incidence
was
inconsistent
among
factors.
Here,
we
investigated
this
inconsistency
thorough
systematic
literature
review.
Our
review
encompassed
the
formulation
questions,
development
search
strategies,
establishment
inclusion/exclusion
criteria
for
data
extraction.
We
carried
out
extensive
from
peer-review
databases
including
Scopus,
Pubmed,
Proquest
articles
published
between
January
2000
March
2023.
found
74
studies
focusing
diseases
influencing
factors
met
our
inclusive
criteria.
Climate
affected
were
rainfall,
temperature,
humidity,
seasonality.
findings
revealed
positive
association
rainfall
consistently
observed.
Other
(temperature
humidity)
indicated
correlation
as
well,
although
viral
exhibited
negative
with
temperature.
Further,
bacterial
parasitic
more
prevalent
in
rainy
season,
whereas
occurred
frequently
during
dry
season
lower
temperatures.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 28, 2024
Abstract
Background
:
Human
caliciviruses
are
the
leading
cause
of
gastroenteritis
among
all
age
groups
worldwide,
with
an
increased
burden
in
developing
countries.
As
there
is
no
surveillance,
epidemiological
data
limited
Ethiopia.
Hence,
this
study
aimed
to
investigate
prevalence
and
associated
factors
human
patients
Amhara
National
Regional
State,
Methods
Prospective
cross-sectional
was
conducted
from
May
2021
November
2021.
A
total
550
participants
symptoms
were
proportionately
assigned
four
areas.
Convenient
sampling
used
select
health
facilities
while
systematically
sampled.
fecal
sample
collected
analyzed
a
one-step
real-time
RT-PCR.
Sociodemographic
other
variables
gathered
using
pre-tested
questionnaire
by
SPSS
version
23.
descriptive
analysis
performed.
Logistic
Regressions
adjusted
odds
ratio
(AOR)
at
95%CI
assess
NoV
infection.
Results
519
out
samples
(94.4%
response
rate).
The
overall
norovirus
(NoV)
8.9%
(46/519).
positivity
rates
higher
elderly
(33.3%)
under-5
children
(12.5%).
Both
genogroup
I
II
(GII)
identified,
GII
being
predominant,
82.6%
(38/46).
All
experienced
diarrhea,
but
only
20%
reported
history
vomiting.
Norovirus
infection
more
prevalent
respondents
Debre
Tabor
(AOR
=
3.8,
(1.1-13))
Bahir
Dar
areas
3.5,
(1.03-12)).
Additionally,
older
adults
(AOR;
7,
95%
CI
(1.9-27))
under
5
3.4,
(2.7-13))
disproportionately
affected
compared
adults.
previous
(CI1.4-8))
significant
factor
contributing
infections.
Besides,
individuals
high
frequency
diarrhea
16.3,
6.6-40),
vomiting
3.2,
1.5-7)
likely
infected.
Conclusions
considerably
predominance
NoV-GII.
rate
extreme
varied
across
To
obtain
comprehensive
understanding
virus`s
epidemiology
its
genetic
diversity
further
research
warranted.