Saúde em Debate,
Journal Year:
2024,
Volume and Issue:
48(140)
Published: Jan. 1, 2024
RESUMO
O
projeto
‘Saúde
Única
no
Pantanal:
participação
da
sociedade
na
vigilância
de
emergência
zoonoses
como
efeito
pós-incêndios
território
e
formação
estratégias
integradas’
objetivou
integrar
representações
institucionais
local;
ampliar
o
uso
do
Sistema
Informação
em
Saúde
Silvestre
(SISS-Geo)
para
monitoramento
fauna;
identificar
áreas
prioritárias
construir
caminhos
envolvendo
a
(SU).
Realizou
webinário,
apontando
necessidade
eventos
mais
amplos
com
lideranças
cada
um
dos
territórios
escolhidos.
Foram
executados
seminários
oficinas
nos
estados
Mato
Grosso
Sul
(MS),
gestores
serviço
saúde
Província
Santa
Cruz,
Bolívia,
Grosso.
A
representatividade
diferentes
segmentos
possibilitou
articulação
cidadãos
locais.
Nas
comunidades
tradicionais,
foi
possível
abordar
os
impactos
incêndios
dar
oportunidade
que
essas
pessoas
manifestassem
suas
prioridades
demandas
saúde,
antes
depois
incêndios.
Oficina
Síntese
realizada
Corumbá,
MS
devolutiva
resultados
integração
representantes
instituições
Brasil
além
prospecção
priorização
enfermidades
serem
incorporadas
modelo
SU
Pantanal
fronteira
oeste
Brasil.
Artificial Intelligence in Agriculture,
Journal Year:
2024,
Volume and Issue:
12, P. 109 - 126
Published: May 31, 2024
In
this
study,
we
extensively
evaluated
the
viability
of
state-of-the-art
YOLOv8
architecture
for
object
detection
tasks,
specifically
tailored
smoke
and
wildfire
identification
with
a
focus
on
agricultural
environmental
safety.
All
available
versions
were
initially
fine-tuned
domain-specific
dataset
that
included
variety
scenarios,
crucial
comprehensive
monitoring.
The
'large'
version
(YOLOv8l)
was
selected
further
hyperparameter
tuning
based
its
performance
metrics.
This
model
underwent
detailed
optimization
using
One
Factor
At
Time
(OFAT)
methodology,
concentrating
key
parameters
such
as
learning
rate,
batch
size,
weight
decay,
epochs,
optimizer.
Insights
from
OFAT
study
used
to
define
search
spaces
subsequent
Random
Search
(RS).
final
derived
RS
demonstrated
significant
improvements
over
initial
model,
increasing
overall
precision
by
1.39
%,
recall
1.48
F1-score
1.44
[email
protected]
0.70
protected]:0.95
5.09
%.
We
validated
enhanced
model's
efficacy
diverse
set
real-world
images,
reflecting
various
settings,
confirm
robustness
in
detecting
fire.
These
results
underscore
reliability
effectiveness
scenarios
critical
safety
work,
representing
advancement
field
fire
through
machine
learning,
lays
strong
foundation
future
research
solutions
aimed
at
safeguarding
areas
natural
environments.
Conservation,
Journal Year:
2023,
Volume and Issue:
3(1), P. 96 - 108
Published: Feb. 1, 2023
Wildfires
are
common
occurrences
worldwide
that
can
destroy
vast
forest
areas
and
kill
numerous
animals
in
a
few
hours.
Climate
change,
rising
global
temperatures,
precipitation,
the
introduction
of
exotic
species
plants
(e.g.,
eucalyptus),
intensive
agriculture,
deforestation
have
increased
number
fires
their
intensity
destructive
power.
Nearly
4%
land
surface
(30–46
million/km2)
is
burned
annually.
There
many
studies
regarding
impact
wildfires
on
ecosystems,
flora,
domestic
animals,
humans.
Even
though
recurrent
problem
around
world,
most
time,
they
neglected
issue,
especially
wildlife.
The
information
available
scarce
dispersed
across
several
bibliographical
references,
veterinarian
teams,
need
to
be
trained
act
these
situations.
In
this
brief
review,
we
describe
different
species’
behavior
during
wildfire,
effects
ecosystem,
socioeconomic
region.
From
veterinarian’s
perspective,
list
major
injuries
expected
observed
how
proceed.
conclusion,
discuss
better
prevention
response
measures
wildfire
scenario.
This
used
by
veterinarians
all
entities
involved
combat
wildfires,
general
public
has
an
important
role
Diseases,
Journal Year:
2024,
Volume and Issue:
12(6), P. 118 - 118
Published: June 3, 2024
According
to
the
definition
provided
by
United
Nations,
“climate
change”
describes
persistent
alterations
in
temperatures
and
weather
trends.
These
may
arise
naturally,
such
as
fluctuations
solar
cycle.
Nonetheless,
since
19th
century,
human
activities
have
emerged
primary
agent
for
climate
change,
primarily
attributed
combustion
of
fossil
fuels
coal,
oil,
gas.
Climate
change
can
potentially
influence
well-being,
agricultural
production,
housing,
safety,
employment
opportunities
all
individuals.
The
immune
system
is
an
important
interface
through
which
global
affects
health.
Extreme
heat,
events
environmental
pollutants
could
impair
both
innate
adaptive
responses,
promoting
inflammation
genomic
instability,
increasing
risk
autoimmune
chronic
inflammatory
diseases.
Moreover,
has
impact
on
soil
gut
microbiome
composition,
further
explain
changes
health
outcomes.
This
narrative
review
aims
explore
disease,
focusing
specifically
its
effects
microbiota.
Understanding
how
these
factors
contribute
development
physical
mental
illness
allow
design
strategies
aimed
at
reducing
negative
pollution
Diversity,
Journal Year:
2025,
Volume and Issue:
17(3), P. 152 - 152
Published: Feb. 24, 2025
We
live
in
an
era
where
future
generations
are
experiencing
a
serious
loss
of
knowledge,
sensitivity,
and
interest
biodiversity.
This
situation
is
thought
to
be
unique
urbanised
countries
with
limited
green
spaces.
However,
the
increasing
urbanisation
rural
areas,
it
necessary
investigate
what
happening
places
high
In
this
study,
we
investigated
attitudes
perceptions
children
adolescents
municipality
José
María
Morelos
southeastern
Mexico.
analysed
1119
drawings
by
117
their
first
three
years
school
interviewed
280
students
last
primary,
secondary
school.
Younger
drew
more
native
species,
majority
being
mammals.
Of
surveyed,
had
highest
level
species
knowledge
considered
deer
jaguar
most
important
species.
They
hunting
main
cause
animal
depletion
positive
attitude
towards
nature
conservation.
Based
on
our
findings,
recommend
that
educational
strategies
implemented
at
all
levels
promote
less
emblematic
inhabit
Selva
Maya.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 10, 2024
Abstract
Climate
change
has
led
to
an
alarming
increase
in
the
frequency
and
severity
of
wildfires
worldwide.
While
it
is
known
that
amphibians
have
physiological
characteristics
make
them
highly
susceptible
fire,
specific
impacts
on
their
symbiotic
skin
bacterial
communities
(i.e.,
bacteriomes)
infection
by
deadly
chytrid
fungus,
Batrachochytrium
dendrobatidis
,
remain
poorly
understood.
Here,
we
address
this
research
gap
evaluating
effects
fire
amphibian
bacteriome
subsequent
risk
chytridiomycosis.
We
sampled
Neotropical
species
Scinax
squalirostris
Boana
leptolineata
control
plots
before
after
experimental
burnings.
Fire
was
linked
with
a
marked
beta
dispersion,
proxy
for
microbial
dysbiosis,
alongside
trend
increased
pathogen
loads.
By
shedding
light
bacteriomes,
study
contributes
our
broader
understanding
vulnerable
vertebrate
species.
Animal Behaviour,
Journal Year:
2024,
Volume and Issue:
211, P. 147 - 161
Published: April 1, 2024
Parasites
and
infectious
diseases
constitute
important
challenges
particularly
for
group-living
animals.
Social
contact
shared
space
can
both
increase
parasite
transmission
risk,
while
individual
differences
in
social
capital
help
prevent
infections.
For
example,
high
status
individuals
those
with
more
or
stronger
affiliative
partnerships
may
have
better
immunity
and,
thus,
lower
parasitic
burden.
To
test
health
trade-offs
the
costs
benefits
of
sociality,
we
quantified
how
load
varied
an
individual's
status,
as
well
their
relationships
weakly
strongly
bonded
partners,
a
free-ranging
population
rhesus
macaques,
Macaca
mulatta.
We
found
that
was
associated
risk
protozoa
infection
at
older
ages
compared
to
younger
low-status
resources
also
be
protective
against
under
environmentally
challenging
situations,
such
natural
disasters.
Using
cross-sectional
data,
additionally
examined
impact
major
hurricane
on
sociality
-
relationship
this
system
influenced
prevalence
specific
parasites
independent
sociality.
Overall,
our
study
adds
growing
evidence
strong
predictor
highlights
extreme
environmental
events
could
shape
vulnerability
resistance
infection.
Freshwater Biology,
Journal Year:
2025,
Volume and Issue:
70(2)
Published: Feb. 1, 2025
ABSTRACT
Wildfire
activity
is
increasing
globally,
highlighting
the
need
to
understand
how
fire
disturbance
affects
species
interactions.
In
particular,
few
studies
have
examined
influences
interactions
among
parasites,
hosts
and
predators
in
freshwater
streams.
We
characterised
host–parasite
parasite–predator
involving
nematode
parasites
(Family
Mermithidae),
mayfly
(Order
Ephemeroptera)
trout
(
Salvelinus
fontinalis
,
Salmo
trutta
Oncorhynchus
clarkii
)
at
8
burned
unburned
stream
sites
southern
Rocky
Mountains
for
2
years
following
severe
wildfires.
Mayfly
density,
infection
probability,
density
of
infected
mayflies
(infected
mayflies/m
were
all
lower
1
year
after
but
returned
levels
similar
years.
Density
increased
with
overall
density;
however,
prevalence
(%)
ranged
from
0%
26%
across
streams,
there
was
no
relationship
between
prevalence.
Based
on
dissections
>
20,000
mayflies,
intermediate‐size
(4–6
mm)
family
Baetidae
had
highest
probability
also
most
common
size
class
found
stomachs.
did
not
affect
number
mermithids
consumed
per
trout,
prevalences
by
significantly
than
benthos,
suggesting
predator‐avoidance
behaviour
mayflies.
Overall,
our
results
suggest
that
mermithid
responses
reflected
changes
host
consistent
single‐host
life
cycle
mermithids.
These
help
integrate
host–parasite–predator
into
understanding
ecology
implications
parasite
roles
energy
flow
through
food
webs.
Fire Ecology,
Journal Year:
2022,
Volume and Issue:
18(1)
Published: Jan. 24, 2022
Abstract
Background
Humans
have
altered
fire
regimes
across
ecosystems
due
to
climate
change,
land
use
and
increasing
ignition.
Unprecedented
shifts
in
affect
animals
contribute
habitat
displacement,
reduced
movement,
increased
mortality
risk.
Mitigating
these
effects
require
the
identification
of
habitats
that
are
susceptible
wildfires.
We
designed
an
analytical
framework
incorporates
risk
mapping
with
species
distribution
modeling
identify
key
Ursus
arctos
high
probability
Iran.
applied
random
forest
algorithm
for
mapping.
also
modeled
brown
bear
predicted
connectivity
between
them
using
models
analysis,
respectively.
Finally,
map,
critical
habitats,
corridors
were
overlaid
spatially
at
fire.
Results
identified
17
5245
km
2
connecting
them,
40.06%
11.34%
which
covered
by
conservation
areas,
Our
analysis
showed
35.65%
23.56%
Conclusions
Since
bears
this
semi-arid
landscape
rely
on
forests
higher
altitudes,
it
is
likely
shifting
changing
modifications
reduce
extent
future.
While
not
well
known
how
affects
bears,
identifying
its
where
wildfires
occur
first
step
manage
potential
impacts
from
species.