One Health,
Journal Year:
2023,
Volume and Issue:
17, P. 100622 - 100622
Published: Aug. 23, 2023
Identifying
the
role
that
host
species
play
in
pathogen
transmission
and
maintenance
is
crucial
for
disease
control,
but
it
a
difficult
task,
particular
vector-borne
multi-host
pathogens,
especially
when
wildlife
are
involved.
This
case
Crimean-Congo
hemorrhagic
fever
virus
(CCHFV)
hotspot
north-eastern
Spain,
where
Iberian
ibex
(Capra
pyrenaica)
wild
boar
(Sus
scrofa)
involved,
their
roles
unclear.
In
this
context,
we
studied
dynamics
of
CCHFV
these
two
during
collapse
an
population
due
to
sarcoptic
mange
outbreak.
We
carried
out
repeated
cross-sectional
study
measuring
trends
seroprevalence
abundances.
addition,
identified
tick
present
area
on
vegetation
boars,
evaluated
relevant
meteorological
factors.
Results
show
while
Ibex
density
boars
remained
constant
(p
=
1.0
p
0.8,
respectively),
both
census
decreased
significantly
0.003
0.0001,
were
correlated
(Spearman's
rank,
0.02
<
p-adjusted<0.05).
The
correlation
between
patterns
reduction
abundance
decrease
suggests
some
sort
shared
cycle
species.
Data
from
suggest
possible
Rhipicephalus
bursa
transmission.
unlikely
caused
by
changes
variables
such
as
temperature
or
water
vapor
pressure
deficit.
Further
studies
will
be
needed
confirm
hypotheses.
Ecological Indicators,
Journal Year:
2023,
Volume and Issue:
150, P. 110232 - 110232
Published: April 8, 2023
Aedes
albopictus
is
an
invasive
mosquito
species
that
can
maintain
and
transmit
several
arboviruses
causing
disease
in
humans.
Understanding
the
determinants
of
its
ecology
population
dynamics
to
predict
abundance
was
main
objective
this
study.
Adult
mosquitoes
were
captured
weekly
between
2009
2016
with
BG
sentinel
traps
baited
BG-Lure
outdoors
at
a
collection
site
within
urban
area
Palermo
(southern
Italy).
In
parallel,
2012
2016,
we
monitored
uninterrupted
Ae.
four
additional
sites
nearby
over
about
two
hectares.
Catches
collected
three
times
per
week
identified
morphologically.
To
identify
abundance,
seasonal
autoregressive
integrated
moving-average
Poisson
regression
models
fitted
series
weather
predictors
potentially
modulate
activity
dynamics.
The
time
lag
influence
analysed
intergenerational
environmental
A
cross-validation
predictive
accuracy
different
carried
out
select
best
model.
Over
7
years
12,152
first
trap
another
58,710
trapping
traps.
highly
seasonal,
mid-March
late
December,
highest
abundances
July
September,
peak
autumn.
potential
model
further
externally
validated
data
from
other
traps,
showing
high
capacity
very
good
fit
seasonality
peaks.
Relative
humidity,
vapour
saturation
deficit
wind
speed
as
albopictus.
results
obtained
will
allow
accurate
prediction
coastal
Mediterranean
areas
design
ad-hoc
measures
for
efficient
environmentally
sustainable
control.
Emerging infectious diseases,
Journal Year:
2024,
Volume and Issue:
30(5)
Published: April 25, 2024
We
conducted
a
cross-sectional
study
in
wild
boar
and
extensively
managed
Iberian
pig
populations
hotspot
area
of
Crimean-Congo
hemorrhagic
fever
virus
(CCHFV)
Spain.
tested
for
antibodies
against
CCHFV
by
using
2
ELISAs
parallel.
assessed
the
presence
RNA
means
reverse
transcription
quantitative
PCR
protocol,
which
detects
all
genotypes.
A
total
113
(21.8%)
518
suids
sampled
showed
ELISA.
By
species,
106
(39.7%)
267
boars
7
(2.8%)
251
pigs
analyzed
were
seropositive.
Of
231
analyzed,
none
positive
RNA.
These
findings
indicate
high
exposure
endemic
areas
confirm
susceptibility
reared
to
CCHFV,
even
though
they
may
only
play
limited
role
enzootic
cycle.
Emerging infectious diseases,
Journal Year:
2024,
Volume and Issue:
30(4)
Published: March 22, 2024
Abstract
To
estimate
the
determinants
of
spatial
variation
in
Crimean-Congo
hemorrhagic
fever
virus
(CCHFV)
transmission
and
to
create
a
risk
map
as
preventive
public
health
tool,
we
designed
survey
small
domestic
ruminants
Andalusia,
Spain.
assess
CCHFV
exposure
distribution,
analyzed
serum
from
2,440
sheep
goats
by
using
double-antigen
ELISA
modeled
probability
with
environmental
predictors
generalized
linear
mixed
models.
antibodies
detected
84
samples
confirmed
low
prevalence
region.
The
best-fitted
statistical
model
indicated
that
most
significant
were
cattle/horse
density
normalized
difference
vegetation
index.
Model
validation
showed
99.7%
specificity
10.2%
sensitivity
for
identifying
circulation
areas.
risk,
projected
at
1
×
1-km
resolution.
Our
study
provides
insight
into
ecology
is
useful
preventing
transmission.
Abstract
Free-living
ticks
Rhipicephalus
bursa
and
Hyalomma
lusitanicum
represent
a
significant
risk
to
their
hosts
primarily
due
role
as
vectors
of
infectious
diseases,
with
Crimean-Congo
haemorrhagic
fever
an
emerging
public
health
concern
in
the
Iberian
Peninsula
(IP).
Both
species
are
distributed
across
Peninsula,
H.
mainly
central
southern
regions,
R.
throughout
entire
region.
However,
differences
behaviour
ecology
both
have
been
observed
distribution
ranges.
Currently,
factors
determining
spatiotemporal
abundances
two
within
areas
remain
unknown,
well
whether
exist
among
populations.
From
2004
2006
from
2019
2023,
monthly/fortnightly
samplings
were
conducted
at
eight
sites
regions
central-southern
Spain
estimate
variation
questing
density
bursa.
The
temporal
spatial
modelled
relation
variations
local
biotic
abiotic
environmental
conditions
by
employing
generalized
linear
mixed
models
negative
binomial
for
zero-inflated
models.
primary
factor
abundance
pattern
is
seasonality,
while
influenced
high
habitat
favourability
red
deer
adequate
humidity.
result
enables
development
maps
species.
Furthermore,
could
serve
foundation
constructing
more
precise
predictive
identify
windows
highest
potential
interactions
between
animals/humans
lusitanicum,
which
may
facilitate
transmission
tick-borne
pathogens.
Ticks and Tick-borne Diseases,
Journal Year:
2023,
Volume and Issue:
15(1), P. 102281 - 102281
Published: Nov. 22, 2023
Crimean-Congo
haemorrhagic
fever
(CCHF)
virus
(CCHFV)
is
a
tick-borne
zoonotic
pathogen
that
can
cause
lethal
disease
in
humans.
Although
the
appears
to
be
endemically
established
Iberian
Peninsula,
CCHF
an
emerging
Spain.
Clinical
signs
of
CCHFV
infection
are
mainly
manifested
humans,
but
replicates
several
animal
species.
Understanding
determinants
exposure
risk
from
models
essential
predicting
high-risk
hotspots
for
public
health
action.
With
this
objective
mind,
we
designed
cross-sectional
study
Eurasian
wild
boar
(Sus
scrofa)
Spain
and
Portugal.
The
analysed
5,291
sera
collected
between
2006
2022
90
populations
with
specific
double-antigen
ELISA
estimate
serum
prevalence
identify
main
probability.
To
do
so,
statistically
modelled
host-
environment-related
predictors
spatially
projected
it
at
10
×
km
square
resolution
scale
Peninsula
map
foci
risk.
Fifty-seven
(63.3
%)
had
least
one
seropositive
animal,
seroprevalence
ranging
0.0
88.2
%.
Anti-CCHFV
antibodies
were
found
1,026
(19.4
%;
95
%
confidence
interval:
18.3–20.5
%),
highest
rates
southwestern
Iberia.
most
relevant
abundance,
local
rainfall
regime,
shrub
cover,
winter
air
temperature
soil
variation.
spatial
projection
best-fit
model
identified
as
occurring
western
Iberia
recently
confirmed
eastern
results
demonstrate
serological
surveys
vector
hosts
powerful,
robust
highly
informative
tool
authorities
take
action
prevent
human
cases
enzootic
emergency
settings.
Ticks and Tick-borne Diseases,
Journal Year:
2024,
Volume and Issue:
15(6), P. 102373 - 102373
Published: July 3, 2024
Ixodes
ricinus
is
the
most
medically
relevant
tick
species
in
Europe
because
it
transmits
pathogens
that
cause
Lyme
borreliosis
and
tick-borne
encephalitis.
Northern
Spain
represents
southernmost
margin
of
its
main
European
range
has
highest
rate
hospitalisations
country.
Currently,
environmental
determinants
spatiotemporal
patterns
I.
abundance
remain
unknown
this
region
these
may
differ
from
drivers
highly
favourable
areas
for
Europe.
Therefore,
our
study
aimed
to
understand
factors
modulating
questing
population
dynamics
map
northern
Spain.
From
2012
2014,
monthly/fortnightly
samplings
were
conducted
at
13
sites
two
regions
estimate
variation
abundance.
Local
was
modelled
relation
local
biotic
abiotic
conditions
by
constructing
generalised
linear
mixed
models
with
a
zero-inflated
negative
binomial
distribution
overdispersed
data.
The
different
developmental
stages
active
times
year.
Adults
nymphs
showed
peak
spring,
while
larvae
more
frequent
summer.
affecting
related
humidity
temperature.
For
adults
larvae,
summer
seemed
be
influential
period
their
abundance,
nymphs,
winter
those
preceding
months
determining
factors.
abundances
predicted
hospitalisations.
Our
could
basis
on
which
build
accurate
predictive
identify
windows
greatest
potential
interaction
between
animals/humans
lead
transmission
ricinus-borne
pathogens.
Transboundary and Emerging Diseases,
Journal Year:
2022,
Volume and Issue:
69(6), P. 3571 - 3581
Published: Oct. 2, 2022
Crimean-Congo
haemorrhagic
fever
(CCHF)
is
an
emerging
tick-borne
human
disease
in
Spain.
Understanding
the
spatiotemporal
dynamics
and
exposure
risk
determinants
of
CCHF
virus
(CCHFV)
animal
models
essential
to
predict
time
areas
highest
transmission
risk.
With
this
goal,
we
designed
a
longitudinal
survey
two
wild
ungulate
species,
red
deer
(Cervus
elaphus)
Eurasian
boar
(Sus
scrofa),
Doñana
National
Park,
protected
Mediterranean
biodiversity
hotspot
with
high
CCHFV
vector
abundance,
which
also
one
main
stopover
sites
for
migratory
birds
between
Africa
western
Europe.
Both
ungulates
are
hosts
principal
Spain,
Hyalomma
lusitanicum.
We
sampled
annually
from
2005
2020
analysed
frequency
by
double-antigen
ELISA.
The
annual
was
modelled
as
function
environmental
traits
approach
understanding
that
allow
us
most
likely
places
years
transmission.
findings
show
H.
lusitanicum
abundance
fundamental
driver
fine-scale
spatial
risk,
while
inter-annual
variation
conditioned
virus/vector
hosts,
host
community
structure
weather
variations.
relevant
conclusion
study
emergence
Spain
might
be
associated
recent
population
changes
promoting
higher
abundance.
This
work
provides
insights
into
enzootic
scenarios
would
deepening
ecology
its
major
determinants.
One Health,
Journal Year:
2023,
Volume and Issue:
16, P. 100557 - 100557
Published: May 1, 2023
The
incidence
of
West
Nile
fever
(WNF)
is
highly
variable
in
emerging
areas,
making
it
difficult
to
identify
risk
periods.
Using
clinical
case
records
has
important
biases
understanding
the
transmission
dynamics
virus
(WNV)
because
asymptomatic
infections
are
frequent.
However,
estimating
exposure
sentinel
species
could
help
achieve
this
goal
at
varying
spatiotemporal
scales.
To
determinants
inter-annual
variation
WNV
rates,
we
designed
a
15-year
longitudinal
seroepidemiological
study
(2005-2020)
five
environmentally
diverse
areas
southwestern
Spain.
We
modeled
individual
annual
area-dependent
based
on
potential
environmental
and
host
predictors
using
generalized
linear
mixed
models.
Further,
analyzed
weight
probability
by
variance
partitioning
model
components.
analysis
2418
wild
ungulate
sera
(1168
red
deer
-
Cervus
elaphus
1250
Eurasian
boar
Sus
scrofa)
with
sensitive
commercial
blocking
ELISA
identified
an
average
seroprevalence
24.9%
(95%
confidence
interval
(CI):
23.2-26.7%).
Antibody
prevalence
was
slightly
higher
(27.5%;
CI:
25.1-30.1%)
than
(22.2%;
19.8-24.7%).
observed
spatial
trend
exposure,
frequency
southernmost
slight,
although
area-dependent,
increasing
temporal
trend.
Host-related
were
drivers
risk.
predictor
highest
cumulative
precipitation,
while
temperature
variations
also
relevant
but
less
weight.
coincidence
changes
notification
WNF
outbreaks
horses
humans.
That
indicates
usefulness
ungulates
as
sentinels
for
models
understand
its
dynamics.
These
results
will
allow
development
more
accurate
predictive
that
can
inform
health
authorities
take
appropriate
action.
Journal of Virological Methods,
Journal Year:
2024,
Volume and Issue:
326, P. 114915 - 114915
Published: March 12, 2024
Crimean-Congo
hemorrhagic
fever
virus
(CCHFV)
is
a
tick-borne
zoonotic
orthonairovirus
of
public
health
concern
and
widespread
geographic
distribution.
Several
animal
species
are
known
to
seroconvert
after
infection
with
CCHFV
without
showing
clinical
symptoms.
The
commercial
availability
multi-species
ELISA
has
led
an
increase
in
recent
serosurveillance
studies
as
well
the
range
reported
be
exposed
field,
including
wild
boar
(Sus
scrofa).
However,
development
validation
confirmatory
serological
tests
for
swine
based
on
different
antigens
or
test
principles
hampered
by
lack
defined
control
sera
from
infected
non-infected
animals.
For
detection
anti-CCHFV
antibodies
swine,
we
established
swine-specific
in-house
using
panel
CCHFV-free
regions
circulation.
We
initially
screened
more
than
700
serum
samples
domestic
pigs
observed
correlation
≃67%
between
test.
From
these
sera,
selected
60
that
were
further
analyzed
newly
indirect
immunofluorescence
assay
(iIFA)
neutralization
ELISA-non-reactive
tested
negative.
Interestingly,
only
subset
reactive
both
iIFA
displayed
CCHFV-neutralizing
antibodies.
partial
discrepancy
may
explained
sensitivities,
antibody
cross-reactivities
suggests
immune
response
not
necessarily
associated
eliciting
neutralizing
Overall,
this
study
highlights
meaningful
serology
possibly
other
species,
should
involve
performance
multiple
careful
interpretation
results.