Associations of heatwaves and their characteristics with ischaemic stroke hospital admissions
Jinyu Yin,
No information about this author
Shiwen Wang,
No information about this author
Jing Deng
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 10, 2025
Language: Английский
The association between weekly mean temperature and the epidemic of influenza across 122 countries/regions, 2014–2019
Xiaoxiao Cao,
No information about this author
Wenhao Zhu,
No information about this author
Zhenghan Luo
No information about this author
et al.
Journal of Biomedical Research,
Journal Year:
2025,
Volume and Issue:
39, P. 1 - 1
Published: Jan. 1, 2025
The
study
examined
the
association
between
weekly
mean
temperature
and
influenza
cases
across
122
countries/regions
(2014-2019)
using
a
distributed
lag
non-linear
model
(DLNM).
We
analyzed
3145206
of
overall
(Flu-All),
with
A
(Flu-A)
B
(Flu-B)
accounting
for
73.49%
26.51%,
respectively.
Within
2
weeks,
Flu-All
incidence
demonstrated
bimodal
relationship,
peak
relative
risks
(RR)
6.02
(95%
CI:
1.92-20.77)
at
-8
℃
3.08
1.27-7.49)
22
℃.
Flu-A
exhibited
similar
pattern,
RRs
3.76
2.39-5.91)
2.08
1.55-2.80)
Flu-B
single
risk
1
(RR
=
4.48,
95%
1.74-11.55).
Subgroup
analyses
climate
zones
revealed
variations:
tropical
peaked
12
1.37,
1.08-1.74),
while
dry
temperate
highest
-5
℃,
4.49
2.46-7.15)
5.23
3.17-8.64),
Cold
5.96,
3.76-9.43).
transmission
(ITZs)
Africa
showed
higher
6
℃-14
Asia
below
3
Europe
distinct
peaks
-1
(Eastern),
(Southwest),
-20
(Northern).
Elevated
above
11
were
identified
in
Americas
Oceania.
These
findings
establish
predictive
framework
outbreak
preparedness
by
integrating
regional
patterns
global
variability.
Language: Английский
Insights About the Spatial and Temporal Characteristics of the Relationships Between Land Surface Temperature and Vegetation Abundance and Topographic Elements in Arid to Semiarid Environments
Remote Sensing in Earth Systems Sciences,
Journal Year:
2023,
Volume and Issue:
6(3-4), P. 254 - 274
Published: Oct. 21, 2023
Language: Английский
Impact of Weather on Incidence and Mortality of COVID-19: An Application of the ARIMAX Model
The Open Public Health Journal,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: July 18, 2024
Introduction
SARS-CoV-2
is
primarily
transmitted
by
direct
contact
between
infected
individuals,
but
other
factors,
such
as
meteorology,
can
affect
mortality
rates
and
the
incidence
of
this
disease.
The
purpose
study
was
to
examine
impact
meteorological
factors
on
COVID-19
in
a
center
Iran.
In
fact,
sought
pursue
two
main
goals:
first,
find
climate
air
pollutant
risk
that
seem
be
related
people's
respiratory
conditions,
their
effect
number
daily
cases
deaths
caused
COVID-19,
second
one
use
time
series
regression
model
appropriate
for
data
instead
one-variable
models.
Material
Methods
Data
collected
over
modeled
forecasted
using
methods.
It
common
models
based
single
response
variable,
Autoregressive
Integrated
Moving
Average
(ARIMA)
model.
addition
confirmed
we
have
also
considered
indices
independent
variables.
ARIMAX
method
applied
case.
Results
fitted
five
lags
(lag
days).
found
average
temperature
lag
10
relative
humidity
7
were
COVID-19.
visibility
had
significant
inverse
relationship
with
14
7;
observed
cases,
so
3,
decreased,
increased.
Conclusion
seems
some
severe
storms,
severity
disease
should
especially
heart
patients.
Thus,
necessary
measures
taken
reduce
infection
it.
Language: Английский
Elucidating the role of environmental management of forests, air quality, solid waste and wastewater on the dissemination of SARS-CoV-2
Khaled Al Huraimel,
No information about this author
Mohamed Alhosani,
No information about this author
Hetasha Gopalani
No information about this author
et al.
Hygiene and Environmental Health Advances,
Journal Year:
2022,
Volume and Issue:
3, P. 100006 - 100006
Published: May 10, 2022
The
increasing
frequency
of
zoonotic
diseases
is
amongst
several
catastrophic
repercussions
inadequate
environmental
management.
Emergence,
prevalence,
and
lethality
intrinsically
linked
to
management
which
are
currently
at
a
destructive
level
globally.
effects
these
links
complicated
interdependent,
creating
an
urgent
need
elucidating
the
role
mismanagement
improve
our
resilience
future
pandemics.
This
review
focused
on
pertinent
forests,
outdoor
air,
indoor
solid
waste
wastewater
in
COVID-19
dissemination
analyze
opportunities
prevailing
control
infectious
considering
relevant
data
from
previous
disease
outbreaks.
Global
forest
detrimental
hotspots
fragmentation
have
demonstrated
result
emergences.
Deforestation
reported
increase
susceptibility
due
wildfire
induced
pollution
loss
ecosystem
services.
Detection
SARS-CoV-2
like
viruses
multiple
animal
species
also
point
impacts
biodiversity
relation
COVID-19.
Available
literature
air
quality
provided
insights
into
potential
pollutants
acting
as
plausible
virus
carrier
aggravating
immune
responses
expression
ACE2
receptors.
detected
waste,
shown
prevail
surfaces
aerosols
for
prolonged
hours.
Furthermore,
lack
protection
measures
safe
disposal
options
evoking
concerns
especially
underdeveloped
countries
high
infectivity
SARS-CoV-2.
Inadequate
legal
framework
non-adherence
regulations
were
observed
aggravate
postulated
risks
vulnerability
waves
Our
understanding
underlines
reinforce
fragile
status
global
systems
through
development
strict
legislative
frameworks
enforcement
by
providing
institutional,
financial
technical
supports.
Language: Английский
Seasonal variation of Covid-19 incidence and role of land surface and air temperatures: a case study in the west of Iran
International Journal of Environmental Health Research,
Journal Year:
2023,
Volume and Issue:
34(3), P. 1342 - 1354
Published: March 30, 2023
.In
this
study,
we
assessed
the
impact
of
satellite-based
Land
Surface
Temperature
(LST)
and
Air
(AT)
on
covid-19.
First,
spatio-temporally
kriged
LST
applied
bias
correction.
The
epidemic
shape,
timing,
size
were
compared
after
before
adjusting
for
predictors.
Given
non-linear
behavior
a
pandemic,
semi-parametric
regression
model
was
used.
In
addition,
interaction
effect
between
predictors
season
assessed.
Before
predictors,
peak
happened
at
end
hot
season.
After
adjusting,
it
attenuated
slightly
moved
forward.
Moreover,
Attributable
Fraction
(AF)
Peak
to
Trough
Relative
(PTR)
%
23
(95%
CI;
15,
32)
1.62
(95%CI;
1.34,
1.97),
respectively.
We
found
that
temperature
might
have
changed
seasonal
variation
However,
given
large
uncertainty
variables,
hard
provide
conclusive
evidence
in
region
studied.
Language: Английский
Covid-19 outbreak associated with demographic-meteorological factors in the arid and semi-arid region Iran: case study Gonabad city, 2020-2021
International Journal of Environmental Health Research,
Journal Year:
2022,
Volume and Issue:
34(1), P. 30 - 39
Published: Sept. 29, 2022
Since
the
(Covid-19)
pandemic
outbreak,
questioning
regarding
climate
and
incident
of
Covid-19
infection
rates
has
been
debated,
while
there
is
no
clear
research
evidence
until
now
in
Iran.
This
study
focused
on
investigating
association
between
cases
demographic
–meteorological
factors
arid
semi-arid
zones
Iran
(from
March
1,
2020,
to
January
31,
2022)
by
analyzing
with
Via
Poisson
negative
binomial
regression.
As
a
result,
incidence
rate
both
hospitalization
mortality
reached
peaks
summer
followed
autumn.
Interestingly,
are
associated
humidity,
temperature,
wind
seasonally
monthly,
but
just
wind.
In
conclusion,
result
demonstrated
that
demographicand
meteorological
factorsare
positively
negatively
cases.
Therefore,
identifying
environmental
contributing
excess
can
help
prevent
future
waves
Iranian
zone.
Language: Английский
The effect of heatwave and cold spell on cardiovascular disease mortality in central China, 2018–2022
International Journal of Biometeorology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 3, 2024
Language: Английский
Estimating the Effects of Lock-Down for the First and Second Waves of COVID-19 on Air Pollution indices in the Iranian Provinces with Google Earth Engine Technology
Research Square (Research Square),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Nov. 11, 2022
Abstract
Introduction:
The
COVID-19
restrictions
provided
a
unique
situation
for
environmental
policymakers
to
examine
their
hypothesis
and
present
alternative
policies
controlling
air
pollution
indices
globally.
aim
of
this
study
is
estimate
the
lockdown
effects
on
with
satellite
dataset
in
all
31
provinces
Iran
first
wave
from
2020-03-14
2020-04-20
vs
2019-03-14
2019-04-20
second
2021-04-13
2021-04-25
2020-04-13
2020-04-25.
Methods:
Carbon
Monoxide
(CO),
Water
vapor
(H2O),
Nitrogen
Dioxide
(NO2),
Ozone
(O3),
Sulfur
(SO2),
Absorbing
Aerosol
Index
(AER),
Atmospheric
Formaldehyde
(HCHO)
as
Pressure,
Total
precipitation
rate,
Air
temperature
Wind
speed
weather
are
downloaded
Google
Earth
Engine
(GEE).
Three
statistical
analysis
methods
used:
1)
T-test
Wilcoxon
rank-sum
test
estimating
Unadjusted
Effect,
2)
Generalized
Additive
Mixed
Model
(GAMM)
adjusted
Effects
3)
Functional
clustering
provinces.
Result:
lock-down
improves
quality
against
same
period
previous
year
but
conclusion
not
inferred
data
wave.
reduction
CO
(-0.00077),
NO2
(-0.0000110)
AEI
(-0.275)
increment
H2O
(106.476),
O3
(0.0042)
SO2
(0.000104)
statistically
significant
But
(-0.00082),
(-354.52),
O3(-0.00258)
(0.0000089)
HCHO
(0.0000135)
GAMM
models.
functional
principal
component
(FPCA)
shows
three
major
clusters
Conclusions:
We
conclude
that
although
better
than
wave,
Containment
Health
greater
Language: Английский