Indoor
Radon
is
the
second
cause
of
deadly
lung
cancer
and
suspected
inflicting
further
health
risks
synergies
with
other
air
pollutants.
mapping
based
on
long-term
average
concentrations,
but
spatiotemporal
concentration
variability
can
be
very
high,
delivering
higher
radiation
doses
than
expected.
Continuous
monitoring,
appropriate
indices,
reliable
models,
aided
by
digital
technologies
may
improve
assessment
management
indoor
risk,
especially
for
vulnerable
populations.
Further
epidemiological
studies,
research
modelling
in
dosimetry,
new
monitoring
methods,
quality
research,
are
expected
to
contribute
towards
a
unified
strategy
risk
assessment,
management,
perception.
Journal of Asthma and Allergy,
Год журнала:
2023,
Номер
Volume 16, С. 183 - 194
Опубликована: Янв. 1, 2023
Abstract:
Climate
change
has
both
direct
and
indirect
effects
on
human
health,
some
populations
are
more
vulnerable
to
these
than
others.
Viral
respiratory
infections
most
common
illnesses
in
humans,
with
estimated
17
billion
incident
globally
2019.
Anthropogenic
drivers
of
climate
change,
chiefly
the
emission
greenhouse
gases
toxic
pollutants
from
burning
fossil
fuels,
consequential
changes
temperature,
precipitation,
frequency
extreme
weather
events
have
been
linked
increased
susceptibility
viral
infections.
Air
like
nitrogen
dioxide,
particulate
matter,
diesel
exhaust
particles,
ozone
shown
impact
immune
responses
through
various
mechanisms,
including
exaggerated
or
impaired
innate
adaptive
responses,
disruption
airway
epithelial
barrier,
altered
cell
surface
receptor
expression,
cytotoxic
function.
An
90%
world's
population
is
exposed
air
pollution,
making
this
a
topic
high
relevance
health.
This
review
summarizes
available
epidemiologic
experimental
evidence
for
an
association
between
infection.
Keywords:
infection,
influenza,
syncytial
virus,
rhinovirus,
ozone,
matter
Atmosphere,
Год журнала:
2023,
Номер
14(2), С. 311 - 311
Опубликована: Фев. 4, 2023
In
preparation
for
the
Fourth
Industrial
Revolution
(IR
4.0)
in
Malaysia,
government
envisions
a
path
to
environmental
sustainability
and
an
improvement
air
quality.
Air
quality
measurements
were
initiated
different
backgrounds
including
urban,
suburban,
industrial
rural
detect
any
significant
changes
parameters.
Due
dynamic
nature
of
weather,
geographical
location
anthropogenic
sources,
many
uncertainties
must
be
considered
when
dealing
with
pollution
data.
recent
years,
Bayesian
approach
fitting
statistical
models
has
gained
more
popularity
due
its
alternative
modelling
strategy
that
accounted
all
Therefore,
this
study
aims
evaluate
performance
Model
Averaging
(BMA)
predicting
next-day
PM10
concentration
Peninsular
Malaysia.
A
case
utilized
seventeen
years’
worth
monitoring
data
from
nine
(9)
stations
located
using
eight
parameters,
i.e.,
PM10,
NO2,
SO2,
CO,
O3,
temperature,
relative
humidity
wind
speed.
The
performances
prediction
calculated
five
models’
evaluators,
namely
Coefficient
Determination
(R2),
Index
Agreement
(IA),
Kling-Gupta
efficiency
(KGE),
Mean
Absolute
Error
(MAE),
Root
Squared
(RMSE)
Percentage
(MAPE).
BMA
indicate
humidity,
speed
contributed
most
model
majority
(R2
=
0.752
at
Pasir
Gudang
station),
0.749
Larkin
0.703
Kota
Bharu
0.696
Kangar
station)
0.692
Jerantut
respectively.
Furthermore,
demonstrated
good
performance,
IA
ranging
0.84
0.91,
R2
0.64
0.75
KGE
0.61
0.74
stations.
According
results
investigation,
should
utilised
research
forecasting
operations
pertaining
issues
such
as
pollution.
From
study,
is
recommended
one
tools
concentration,
especially
particulate
matter
level.
Environmental Research,
Год журнала:
2023,
Номер
228, С. 115907 - 115907
Опубликована: Апрель 18, 2023
As
a
pandemic
hotspot
in
Japan,
between
March
1,
2020–October
2022,
Tokyo
metropolis
experienced
seven
COVID-19
waves.
Motivated
by
the
high
rate
of
incidence
and
mortality
during
seventh
wave,
environmental/health
challenges
we
conducted
time-series
analysis
to
investigate
long-term
interaction
air
quality
climate
variability
with
viral
Tokyo.
Through
daily
time
series
geospatial
observational
pollution/climate
data,
death
cases,
this
study
compared
environmental
conditions
multiwaves.
In
spite
five
State
Emergency
(SOEs)
restrictions
associated
pandemic,
(2020–2022)
period
recorded
low
improvements
relative
(2015–2019)
average
annual
values,
namely:
Aerosol
Optical
Depth
increased
9.13%
2020
year,
declined
6.64%
2021,
12.03%
2022;
particulate
matter
PM2.5
PM10
decreased
2020,
2022
years
10.22%,
62.26%,
0.39%,
respectively
4.42%,
3.95%,
5.76%.
For
(2021–2022)
ratio
PM2.5/PM10
was
(0.319
±
0.1640),
showing
higher
contribution
aerosol
loading
traffic-related
coarse
particles
comparison
fine
particles.
The
highest
rates
cases
wave
(1
July
2022–1
October
2022)
may
be
attributed
accumulation
near
ground
levels
pollutants
pathogens
due
to:
1)
peculiar
persistent
atmospheric
anticyclonic
circulation
strong
positive
anomalies
geopotential
height
at
500
hPa;
2)
lower
Planetary
Boundary
Layer
(PBL)
heights;
3)
maximum
temperature
land
surface
prolonged
heat
waves
(HWs)
summer
4)
no
imposed
restrictions.
Such
findings
can
guide
public
decision-makers
design
proper
strategies
curb
pandemics
under
stable
weather
HWs
large
metropolitan
areas.
Sustainability,
Год журнала:
2023,
Номер
15(11), С. 8445 - 8445
Опубликована: Май 23, 2023
Air
quality
forecasting
is
very
difficult
to
achieve
in
metropolitan
areas
due
to:
pollutants
emission
dynamics,
high
population
density
and
uncertainty
defining
meteorological
conditions.
The
use
of
data,
which
contain
insufficient
information
within
the
model
training,
poor
selection
be
used
limits
air
prediction
accuracy.
In
this
study,
NO2
concentration
made
for
year
2022
using
a
long
short-term
memory
network
(LSTM)
gated
recurrent
unit
(GRU).
an
improvement
terms
performance
compared
traditional
methods.
Data
predictive
modeling
are
obtained
from
National
Quality
Monitoring
Network.
KPIs(key
indicator)
computed
based
on
testing
data
subset
when
predicted
values
real
known
values.
Further,
two
additional
predictions
were
performed
days
outside
dataset.
not
as
expected,
so,
before
building
models,
missing
had
imputed.
LSTM
GRU
predicting
levels
similar
reasonable
with
respect
case
study.
pure
generalization
capabilities,
both
have
maximum
R2
value
below
0.8.
represent
powerful
architectures
time-series
prediction.
Both
highly
configurable,
so
probability
identifying
best
suited
solution
studied
problem
consequently
high.
Acta Marisiensis. Seria Medica,
Год журнала:
2025,
Номер
71(1), С. 31 - 39
Опубликована: Март 1, 2025
Abstract
Objective
During
the
pandemic,
SARS-CoV-2
infection
with
its
different
variants
had
determined
high
morbidity
and
mortality.
As
clinical
autopsies
were
reduced
in
our
country,
complete
forensic
provided
important
valuable
information
regarding
pathological
changes
pathophysiological
mechanisms
associated
infection.
Our
aim
was
to
focus
on
of
SARS-CoV-2,
trying
determine
contribution
lethal
outcome
establish
cause
death.
Methods
Complete
performed
cases
confirmed
by
polymerase
chain
reaction
for
All
findings
patient’s
comorbidities
analyzed.
Results
Forty-nine
studied.
Twenty
female
(41%),
29
male
(59%).
The
median
age
at
death
63
years
(range
26-93
years),
an
upward
trend
during
four
SARS-CoV-2.
that
died
due
their
SARS-Cov-2
higher
compared
Two
thirds
hospital,
most
them
less
than
one
week
hospitalization
third
found
dead
home.
Most
without
significant
health
conditions
Conclusions
immediate
many
respiratory
origin
diffuse
alveolar
damage.
evident
represented,
highlight
importance
multimorbidity
development
critical
illness.
