Growing
wildfire
smoke
represents
a
substantial
threat
to
air
quality
and
human
health.
However,
the
impact
of
on
health
remains
imprecisely
understood
due
uncertainties
in
both
measurement
exposure
population
dose-response
functions
linking
Here,
we
compare
daily
smoke-related
surface
fine
particulate
matter
(PM
ACS ES&T Air,
Journal Year:
2025,
Volume and Issue:
2(2), P. 122 - 129
Published: Jan. 10, 2025
With
the
increase
in
acres
burned
from
wildfire
over
last
few
decades,
smoke
is
an
increasing
global
public
health
threat.
To
date,
research,
risk
communication,
and
action
has
focused
on
short-term
(or
daily)
exposures.
However,
patterns
of
exposure
are
transitioning
to
include
longer
duration
repeated
exposures
occurring
within
across
years.
Epidemiologic
experimental
studies
represent
important
lines
evidence
that
have
informed
communication
actions
for
exposures;
however,
they
yet
provide
science
needed
refine
approaches
other
dynamic
durations
such
as
repeated,
episodic,
or
cumulative.
This
commentary
provides
overview
methodological
used
recent
findings
epidemiologic
examined
duration,
Based
current
science,
we
recommend
future
examine
multiple
metrics
capture
frequency,
intensity
Such
would
improve
produced
best
support
needs
strive
further
protect
a
world
projected
more
smoke.
GeoHealth,
Journal Year:
2024,
Volume and Issue:
8(4)
Published: March 28, 2024
Abstract
Wildfire
smoke
fine
particles
(PM
2.5
)
are
a
growing
public
health
threat
as
wildfire
events
become
more
common
and
intense
under
climate
change,
especially
in
the
Western
United
States.
Studies
assessing
association
between
PM
exposure
typically
summarize
effects
over
study
area.
However,
responses
to
may
vary
spatially.
We
evaluated
spatially‐varying
respiratory
acute
care
utilization
risks
associated
with
short‐term
explored
community
characteristics
possibly
driving
spatial
heterogeneity.
Using
ensemble‐modeled
daily
,
we
defined
day
have
wildfire‐specific
concentration
≥15
μg/m
3
.
included
emergency
department
visits
unplanned
hospitalizations
1,396
California
ZIP
Code
Tabulation
Areas
(ZCTAs)
15
census‐derived
characteristics.
Employing
case‐crossover
design
conditional
logistic
regression,
observed
increased
odds
of
on
days
at
state
level
(odds
ratio
[OR]
=
1.06,
95%
confidence
interval
[CI]:
1.05,
1.07).
Across
air
basins,
ORs
ranged
from
0.88
1.57,
highest
effect
estimate
San
Diego.
A
within‐community
matching
Bayesian
hierarchical
model
also
revealed
heterogeneity
ZCTA‐level
rate
differences.
For
example,
communities
higher
percentage
Black
or
Pacific
Islander
residents
had
stronger
‐outcome
relationships,
while
conditioning
tree
canopy
attenuated
associations.
found
an
important
smoke‐related
impacts
across
counties,
ZCTAs,
identified
vulnerable
communities,
providing
evidence
guide
policy
development
resource
allocation.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(40)
Published: Sept. 24, 2024
Despite
the
substantial
evidence
on
health
effects
of
short-term
exposure
to
ambient
fine
particles
(PM
2.5
),
including
increasing
studies
focusing
those
from
wildland
fire
smoke,
impacts
long-term
smoke
PM
remain
unclear.
We
investigated
association
between
and
nonaccidental
mortality
a
wide
range
specific
causes
in
all
3,108
counties
contiguous
United
States,
2007
2020.
Controlling
for
nonsmoke
,
air
temperature,
unmeasured
spatial
temporal
confounders,
we
found
nonlinear
12-mo
moving
average
concentration
monthly
rate.
Relative
month
with
below
0.1
μg/m
3
increased
by
0.16
0.63
2.11
deaths
per
100,000
people
when
was
5
5+
respectively.
Cardiovascular,
ischemic
heart
disease,
digestive,
endocrine,
diabetes,
mental,
chronic
kidney
disease
were
be
associated
exposure.
Smoke
contributed
approximately
11,415
deaths/y
(95%
CI:
6,754,
16,075)
States.
Higher
-related
increases
rates
aged
65
above.
Positive
interaction
extreme
heat
also
observed.
Our
study
identified
detrimental
outcomes,
underscoring
need
public
actions
communications
that
span
risks
both
short-
JAMA Neurology,
Journal Year:
2024,
Volume and Issue:
82(1), P. 40 - 40
Published: Nov. 25, 2024
Importance
Long-term
exposure
to
total
fine
particulate
matter
(PM
2.5
)
is
a
recognized
dementia
risk
factor,
but
less
known
about
wildfire-generated
PM
,
an
increasingly
common
source.
Objective
To
assess
the
association
between
long-term
wildfire
and
nonwildfire
of
incident
dementia.
Design,
Setting,
Participants
This
open
cohort
study
was
conducted
using
January
2008
December
2019
electronic
health
record
(EHR)
data
among
members
Kaiser
Permanente
Southern
California
(KPSC),
which
serves
4.7
million
people
across
10
counties.
KPSC
aged
60
years
or
older
were
eligible
for
inclusion.
Members
excluded
if
they
did
not
meet
eligibility
criteria,
had
diagnosis
before
entry,
EHR
lacked
address
information.
Data
analysis
from
May
2023
2024.
Exposures
Three-year
rolling
mean
in
member
census
tracts
2006
2019,
updated
quarterly
estimated
via
monitoring
remote-sensing
statistical
techniques.
Main
Outcome
Measures
The
primary
outcome
dementia,
identified
diagnostic
codes
EHR.
Odds
diagnoses
associated
with
3-year
discrete-time
approach
pooled
logistic
regression.
Models
adjusted
age,
sex,
race
ethnicity
(considered
as
social
construct
rather
than
biological
determinant),
marital
status,
smoking
calendar
year,
tract–level
poverty
population
density.
Stratified
models
assessed
effect
measure
modification
by
ethnicity,
poverty.
Results
Among
1.64
during
period,
1
223
107
inclusion
this
study.
consisted
644
766
female
(53.0%).
In
total,
319
521
Hispanic
(26.0%),
601
334
non-Hispanic
White
(49.0%),
80
993
received
follow-up
(6.6%).
models,
1-μg/m
3
increase
18%
odds
(odds
ratio
[OR],
1.18;
95%
CI,
1.03-1.34).
comparison,
1%
(OR,
1.01;
1.01-1.02).
For
exposure,
associations
stronger
75
old
upon
racially
minoritized
subgroups,
those
living
high-poverty
vs
low-poverty
tracts.
Conclusions
Relevance
study,
after
adjusting
measured
confounders,
over
period
diagnoses.
As
climate
changes,
interventions
focused
on
reducing
may
reduce
related
inequities.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 7, 2025
Abstract
Wildfires
are
having
disproportionate
impacts
on
U.S.
households.
Notably,
in
California,
over
half
of
wildfire-destroyed
homes
(54%)
low-income
areas.
We
investigate
the
relationship
between
social
vulnerability
and
wildfire
community
preparedness
using
building
permits
from
16
counties
California
with
2.9
million
buildings
(2013–2021)
government’s
designation
disadvantaged
communities
(DACs),
which
classifies
a
census
tract
as
DAC
if
it
meets
threshold
for
certain
burdens,
such
climate,
environmental,
socio-economic.
Homes
located
DACs
29%
more
likely
to
be
destroyed
by
wildfires
within
30
years,
partly
driven
gap
roof
renewals,
one
several
important
home
hardening
actions.
have
28%
fewer
renewals
than
non-DACs
post-wildfire,
non-DAC
twice
increase
(+17%)
compared
(+7%).
Our
research
offers
policy
insights
narrowing
this
equity
wildfire-prone
recommend
increasing
financial
support
targeted
awareness
campaigns
existing
programs
not
sufficiently
emphasized
strategies,
particularly
DACs.
ACS ES&T Air,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 27, 2025
Wildland
fire
(i.e.,
prescribed
and
wildfire)
smoke
exposure
is
an
emerging
public
health
threat,
in
part
due
to
climate
change.
Previous
research
has
demonstrated
disparities
ambient
fine
particulate
matter
(PM2.5)
exposure,
with
Black
people,
among
others,
exposed
higher
concentrations;
yet,
it
remains
unclear
how
wildland
may
contribute
additional
disproportionate
exposure.
Here,
we
investigate
the
PM2.5
burden
contributed
by
contiguous
United
States
race
ethnicity,
urbanicity,
median
household
income,
language
spoken
at
home,
using
modeled
total,
non-fire,
concentrations
from
2007
2018.
fires
7%
14%
of
total
population
weighted
annually,
while
non-fire
declined
24%
over
study
period.
greater
for
American
Indian
or
Alaska
Native
people
those
who
live
nonurban
areas.
Disproportionate
mean
(9.1
μg/m3,
compared
8.7
μg/m3
overall)
were
estimated
be
further
exacerbated
(1.0
0.9
overall).
These
results
can
inform
equitable
strategies
agencies
air
quality
managers
reduce
States.
This
study
investigates
the
impacts
of
wildfires
on
nanoparticle
characteristics
and
exposure
disparities
in
Toronto,
integrating
data
from
a
large-scale
mobile
monitoring
campaign
fixed-site
measurements
during
unprecedented
2023
wildfire
season.
Our
results
reveal
changes
particle
days,
with
number
concentrations
decreasing
by
60%
diameter
increasing
30%
compared
to
nonwildfire
days.
Moreover,
median
lung
deposited
surface
area
(LDSA)
levels
rose
31%
events.
We
employed
gradient
boosting
models
estimate
near-road
LDSA
both
The
ratio
(wildfire/nonwildfire)
exceeded
2.0
certain
areas
along
highways
downtown
Toronto.
Furthermore,
our
findings
show
that
marginalized
communities
faced
greater
increases
than
less
ones.
Under
conditions,
difference
between
most
least
groups
was
16%
for
recent
immigrants
visible
minorities
7%
seniors
children,
statistically
significant.
delivers
critical
insights
into
spatiotemporal
variations
periods,
demonstrating
substantial
health
risks
posed
increased
inequitable
distribution
these
among
Toronto's
diverse
population.
Axioms,
Journal Year:
2025,
Volume and Issue:
14(5), P. 324 - 324
Published: April 23, 2025
This
paper
presents
an
adaptive
Kalman
filter
(AKF)-enhanced
iterative
learning
control
(ILC)
scheme
to
improve
trajectory
tracking
in
non-repetitive
time-varying
systems
(NTVSs),
particularly
industrial
applications.
Unlike
traditional
ILC
methods
that
assume
fixed
system
dynamics,
gradual
parameter
variations
NTVSs
require
approaches
address
factors
such
as
tool
wear
and
sensor
drift,
which
significantly
affect
accuracy.
By
integrating
AKF,
the
proposed
method
continuously
estimates
parameters
uncertainties
real
time,
thus
improving
robustness
adaptability
of
tracking.
Theoretical
analysis
is
conducted
confirm
robust
convergence
stability
AKF-enhanced
under
uncertain
conditions.
Experimental
results
demonstrate
approach
outperforms
conventional
methods,
ensuring
precise
reliable
performance
dynamic
scenarios.