Identification of climate-sensitive disease incidences in Vietnam: a longitudinal retrospective analysis of infectious disease rates between 2014 and 2022
Heliyon,
Год журнала:
2025,
Номер
11(2), С. e41902 - e41902
Опубликована: Янв. 1, 2025
There
is
a
growing
correlation
between
the
rise
in
infectious
diseases
and
climate
change;
however,
little
known
about
interactions
mixed
effects
of
factors
on
diseases.
We
conducted
retrospective
longitudinal
study
spanning
108
consecutive
months
from
2014
to
2022
Can
Tho,
Vietnam
identify
common
(excluding
tuberculosis,
HIV,
COVID-19)
their
associations
with
change
determine
which
presented
concurrently
COVID-19
period
using
multivariate
linear
regression,
receiver
operating
characteristic
(ROC)
curve
analysis,
Bayesian
kernel
machine
regression
(BKMR)
orthogonal
partial
least
squares
discriminant
analysis.
The
five
highest
average
incidence
rates
per
100,000
people
were
diarrhea;
hand,
foot,
mouth
disease
(HFMD);
dengue
fever;
viral
hepatitis;
influenza.
Positive
humidity
observed
for
fever
HFMD.
Temperature
was
positively
associated
malaria.
Negative
found
both
chickenpox
tetanus.
Diarrhea
(AUC
=
0.79;
95
%
CL
0.70-0.87)
0.74;
0.62-0.83)
emerged
as
most
influential
before
during
period.
In
our
BKMR
we
significant
association
combined
influence
temperature
occurrence
HFMD,
especially
when
all
at
or
above
60th
percentile
relative
values
50th
percentile.
primary
driver
These
findings
underscore
importance
implementing
robust
surveillance,
prevention,
control
measures
by
public
health
authorities
Tho.
Initiatives
like
vaccination
campaigns,
vector
programs,
education
hygiene
practices,
strengthening
healthcare
infrastructure
are
crucial
mitigating
spread
safeguarding
region.
Язык: Английский
Climate Change and Antimicrobial Resistance
Microorganisms for sustainability,
Год журнала:
2025,
Номер
unknown, С. 349 - 361
Опубликована: Янв. 1, 2025
Язык: Английский
Enhancing infectious disease prediction model selection with multi-objective optimization: an empirical study
PeerJ Computer Science,
Год журнала:
2024,
Номер
10, С. e2217 - e2217
Опубликована: Июль 29, 2024
As
the
pandemic
continues
to
pose
challenges
global
public
health,
developing
effective
predictive
models
has
become
an
urgent
research
topic.
This
study
aims
explore
application
of
multi-objective
optimization
methods
in
selecting
infectious
disease
prediction
and
evaluate
their
impact
on
improving
accuracy,
generalizability,
computational
efficiency.
In
this
study,
NSGA-II
algorithm
was
used
compare
selected
by
with
those
traditional
single-objective
optimization.
The
results
indicate
that
decision
tree
(DT)
extreme
gradient
boosting
regressor
(XGBoost)
through
outperform
other
terms
Compared
ridge
regression
model
methods,
XGBoost
demonstrate
significantly
lower
root
mean
square
error
(RMSE)
real
datasets.
finding
highlights
potential
advantages
balancing
multiple
evaluation
metrics.
However,
study's
limitations
suggest
future
directions,
including
improvements,
expanded
metrics,
use
more
diverse
conclusions
emphasize
theoretical
practical
significance
health
support
systems,
indicating
wide-ranging
applications
models.
Язык: Английский
Global Infectious Diseases between July and September 2024: Periodic Analysis
Zoonoses,
Год журнала:
2024,
Номер
4(1)
Опубликована: Янв. 1, 2024
Infectious
diseases
are
caused
by
a
variety
of
pathogens
that
can
be
transmitted
between
individuals,
animals,
or
humans
and
animals.
In
the
summer,
hot
weather
accelerates
growth
reproduction
various
bacteria
viruses.
Water,
food,
environment
more
susceptible
to
contamination,
so
summer
is
season
for
infectious
such
as
monkeypox
(Mpox),
dengue,
cholera,
measles.
We
obtained
surveillance
data
from
Shusi
Tech’s
Global
Epidemic
Information
Monitoring
System
conducted
comprehensive
analysis
timing
location
outbreaks
in
infected
populations
July
September
2024.
Язык: Английский
Modern Biomedical Technologies versus Emerging Pathogenic Microbes: Insights into the Confronting Situation
Lalit Umesh,
Sanish Verma
Science Insights,
Год журнала:
2024,
Номер
45(2), С. 1475 - 1481
Опубликована: Авг. 29, 2024
The
interaction
between
modern
biomedical
technologies
and
newly
identified
pathogenic
microbes
has
become
a
crucial
focus
in
the
field
of
healthcare
illness
management.
ongoing
progress
technology
is
transforming
medical
science.
However,
advent
new
changing
microbial
dangers
presents
obstacles
that
require
creative
solutions.
This
article
explores
delicate
equilibrium
capabilities
advanced
continuous
development
disease-causing
microorganisms.
It
provides
insights
influence
struggle
scientific
advancement
problems
posed
by
these
microbes.
Язык: Английский