Journal of Geography and Cartography,
Год журнала:
2023,
Номер
6(2), С. 2214 - 2214
Опубликована: Сен. 7, 2023
Malaria
is
a
mosquito-borne
infectious
disease
that
affects
humans
and
poses
severe
public
health
problem.
Nigeria
has
the
highest
number
of
global
cases.
Geospatial
technology
been
widely
used
to
study
risks
factors
associated
with
malaria
hazards.
The
present
conducted
in
Ibadan,
Oyo
State,
Nigeria.
objective
this
map
out
areas
are
at
high
risk
prevalence
by
considering
good
as
criteria
determine
spread
within
Ibadan
using
open-source
Landsat
remote
sensing
data
further
analysis
GIS-based
multi-criteria
evaluation
(MCE).
This
considered
like
climate,
environmental,
socio-economic,
proximity
centers
for
mapping
risk.
MCE
weighted
overlay
produce
an
element
at-risk
map,
hazard
vulnerability
map.
These
maps
were
overlaid
final
which
showed
72%
prevalence.
Identification
delineation
would
help
policymakers
decision-makers
mitigate
hazards
improve
status
state.
Nature Communications,
Год журнала:
2023,
Номер
14(1)
Опубликована: Окт. 27, 2023
The
emergence
of
SARS-like
coronaviruses
is
a
multi-stage
process
from
wildlife
reservoirs
to
people.
Here
we
characterize
multiple
drivers-landscape
change,
host
distribution,
and
human
exposure-associated
with
the
risk
spillover
zoonotic
help
inform
surveillance
mitigation
activities.
We
consider
direct
indirect
transmission
pathways
by
modeling
four
scenarios
livestock
mammalian
as
potential
known
before
examining
how
access
healthcare
varies
within
clusters
scenarios.
found
19
differing
factor
contributions
single
country
(N
=
9)
or
transboundary
10).
High-risk
areas
were
mainly
closer
(11-20%)
rather
than
far
(
<
1%)
healthcare.
Areas
reveal
inequalities,
especially
Scenario
3,
which
includes
wild
mammals
not
secondary
hosts.
China
2)
Indonesia
1)
had
highest
risk.
Our
findings
can
stakeholders
in
land
use
planning,
integrating
implementation
One
Health
actions.
American Journal of Tropical Medicine and Hygiene,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
As
countries
strive
for
malaria
elimination,
it
is
crucial
to
gather
sufficient
evidence
confirm
the
absence
of
transmission.
Routine
surveillance
data
often
lack
sensitivity
detect
community
transmission
at
low
levels.
In
Dominican
Republic,
health
workers
(CHWs)
have
been
deployed
in
foci
perform
active
case
detection.
This
study
aimed
assess
added
value
CHWs
enhancing
system’s
detection
capabilities.
Freedom
from
infection
(FFI)
a
statistical
framework
designed
demonstrate
by
using
routinely
collected
data.
We
adapted
this
include
CHW
data,
estimating
their
contribution
ability.
The
model
was
applied
facility
and
33
facilities
across
nine
provinces
covering
period
January
2018
April
2022.
likelihood
that
facility’s
catchment
population
free
(
P
)
achieved
52%
only
routine
sustained
an
average
13
months.
With
addition
88%
reached
,
37
Incorporating
enhanced
precision
estimates
over
500-fold.
demonstrated
near
several
populations.
It
highlighted
importance
management
supplementing
surveillance,
thereby
improving
estimates.
These
findings
support
further
application
FFI
accelerate
progress
toward
elimination
Republic.
Under-five
child
malaria
is
one
of
the
leading
causes
morbidity
and
mortality
globally,
especially
among
sub-Saharan
African
countries
like
Ghana.
In
Ghana,
responsible
for
about
20,000
deaths
in
children
annually
which
25%
are
those
aged
<
5
years.
To
provide
opportunities
efficient
surveillance
targeted
control
efforts
amidst
limited
public
health
resources,
study
produced
high
resolution
interactive
web-based
spatial
maps
that
characterized
geographical
differences
risk
identified
burden
communities.This
modelling
mapping
utilized
data
from
2019
Malaria
Indicators
Survey
(MIS)
Demographic
Health
Program.
A
novel
advanced
Bayesian
geospatial
approaches
were
to
examine
predictors
under-five
malaria.
The
model
was
validated
via
a
cross-validation
approach.
an
visualization
map
by
predicted
prevalence
at
both
sampled
unsampled
locations.In
2019,
718
(25%)
2867
surveyed
had
Substantial
observed.
ITN
coverage
(log-odds
4.5643,
95%
credible
interval
=
2.4086-6.8874),
travel
time
0.0057,
0.0017-0.0099)
aridity
0.0600,
0.0079-0.1167)
predictive
model.
overall
national
16.3%
(standard
error
(SE)
8.9%)
with
range
0.7%
51.4%
covariates
28.0%
(SE
13.9%)
2.4
67.2%
without
covariates.
Residing
parts
Central
Bono
East
regions
associated
highest
after
adjusting
selected
covariates.The
high-resolution
can
be
used
as
effective
tool
identification
communities
require
urgent
interventions
programme
managers
implementers.
This
key
part
strategy
reducing
its
country
resources
where
universal
intervention
practically
impossible.
BMJ Global Health,
Год журнала:
2025,
Номер
10(3), С. e016825 - e016825
Опубликована: Март 1, 2025
Effective
case
management
is
crucial
for
malaria
control
efforts
and
a
cornerstone
of
programmes.
Yet,
although
efficacious
treatments
exist,
often
faces
challenges,
such
as
poor
access
to
treatment
providers,
supply-chain
issues,
non-compliance
with
guidelines
or
substandard
medication.
In
Papua
New
Guinea
(PNG),
progress
in
has
stagnated
recent
years.
This
study
identifies
barriers
areas
improvement
PNG.A
cascade
care
model
was
used
estimate
the
health
system
effectiveness
management.
Data
from
nationwide
surveys
conducted
between
2013
2021
were
quantify
steps
along
symptomatic
pathway.
Potential
risk
factors
decay,
including
demographic,
socioeconomic
characteristics,
investigated
using
mixed-effect
logistic
regression.The
main
bottleneck
treatment-seeking,
only
40%
(95%
CI:
37%
46%)
cases
attending
formal
facility.
A
further
important
confirmatory
parasitological
diagnosis,
provided
77%
68%
80%)
patients
Younger
those
living
high
transmission
regions
more
likely
receive
diagnostic
test.Measures
improve
PNG
should
include
increasing
to,
utilisation
quality
services.
Further
investigations
elucidate
local
determinants
treatment-seeking
may
support
National
Malaria
Strategic
Plan's
emphasis
optimise
delivery
proven
interventions
within
existing
system.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Май 7, 2025
AbstractIntroduction
The
World
Health
Organization
in
2012
introduced
the
test,
treat
and
track
(T3)
policy
to
standardize
process
of
malaria
management
endemic
settings.
All
suspected
conditions
are
expected
be
confirmed
by
test
treatment
initiated
with
recommended
artemisinin-based
combination
therapy
(ACTs)
outcomes
monitored
over
course
illness.
This
study
evaluated
adherence
T3
selected
health
facilities
within
three
epidemiological
zones
Ghana.
Methods
crossectional
was
conducted
November
2019
involving
thirty
comprising
one
district
hospital,
Centre
3
Community
Planning
Services
(CHPS)
randomly
from
six
districts
zones.
In
addition,
Clients
exit
interviews
were
each
facility.
Frequency
charts
highlighted
facility
characteristics.
Factors
associated
test,
treattrack
defined
assessed
using
chi
square
multivariable
logistic
regression
models
at
5%
level
significance
95%
confidence
interval.
Data
classified
according
clients’
perspectives.
Results
Overall,
590
patients
30
managers
interviewed
6
across
CHPS
compounds
formed
18
(60.0%)
assessed.
Twenty-nine
out
had
Rapid
Diagnostic
Test
(RDT)
kits
antimalarials.
all,
31.9%,
whiles
30%
North
Middle
indicated
inadequate
training
on
policy.
showed
that
90%
98%
tested
treated
respectively
for
malaria.
However
only
35%
(range
22%
−
44%)
tracked
all
southern
zone
Ghana
almost
three-fold
increased
odds
adhering
compared
middle
[aOR
=
2.87
(1.7,
4.8):
p
<
0.001].
Males
more
likely
not
return
review
0.6
(0.3,
0.9):
0.018].
Conclusion
Testing
treating
high
among
However,
tracking
very
low
Adherence
perspective
especially
males,
who
default
review,
even
though
prescribers
informed
participants
need
review.
hurdle
adhere
Recommendations
National
Maria
Elimination
Program
(NMEP)
should
ensure
periodic
trainings
staff
those
Northern
strengthen
monitoring
supervision
enhance
NMEP
could
also
intensify
Client
sensitization
programs
targeting
male
clients
help
understand
line
There
is
implementation
research
explore
strategies
improve
component
client
levels
framework.
Frontiers in Health Services,
Год журнала:
2022,
Номер
2
Опубликована: Ноя. 16, 2022
Geographic
accessibility
is
an
important
determinant
of
healthcare
utilization
and
critical
for
achievement
universal
health
coverage.
Despite
the
high
disease
burden
severe
traffic
congestion
in
many
African
cities,
few
studies
have
assessed
how
impacts
geographical
access
to
facilities
professionals
these
settings.
In
this
study,
we
impact
on
facilities,
across
facilities.Using
data
obtained
from
Ministry
Health
Kenya,
mapped
944
primary,
94
secondary
four
tertiary
Nairobi
County.
We
then
used
probe
identify
areas
within
a
15-,
30-
45-min
drive
each
facility
during
peak
off-peak
hours
calculated
proportion
population
with
employed
2-step
floating
catchment
area
model
calculate
ratio
times.During
hours,
<70%
Nairobi's
4.1
million
was
30-min
facility.
This
increased
>75%
hours.
45
min,
majority
had
index
one
accessible
more
than
100
people
(<0.01)
primary
care
10,000
two
per
100,000
facilities.
Of
sub-optimal
<4.45
1,000
observed
offering
hours.Our
study
shows
being
negatively
impacted
by
congestion,
highlighting
need
multisectoral
collaborations
between
urban
planners,
sector
policymakers
optimize
city
residents.
Additionally,
growing
availability
cities
should
enable
similar
analysis
understanding
residents
other
countries
continent.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Авг. 10, 2023
Abstract
Malaysia
has
reported
no
indigenous
cases
of
P.
falciparum
and
vivax
for
over
3
years.
When
transmission
reaches
such
low
levels,
it
is
important
to
understand
the
individuals
locations
where
exposure
risks
are
high,
as
they
may
be
at
greater
risk
in
case
a
resurgence
transmission.
Serology
useful
tool
settings,
providing
insight
into
longer
durations
than
PCR
or
RDT.
We
ran
blood
samples
from
2015
population-based
survey
northern
Sabah,
Malaysian
Borneo
on
multiplex
bead
assay.
Using
supervised
machine
learning
methods,
we
characterised
recent
historic
Plasmodium
found
very
low,
with
both
species
increasing
age.
performed
risk-factor
assessment
environmental,
behavioural,
demographic
household
factors,
identified
forest
activity
travel
times
healthcare
common
risk-factors
vivax.
In
addition,
used
remote-sensing
derived
data
geostatistical
models
assess
environmental
spatial
associations
exposure.
created
predictive
maps
study
area
showed
clear
foci
This
provides
factors
period
Borneo.
The
findings
would
valuable
human
malarias
region.
PLOS Global Public Health,
Год журнала:
2022,
Номер
2(5), С. e0000167 - e0000167
Опубликована: Май 10, 2022
The
national
deployment
of
polyvalent
community
health
workers
(CHWs)
is
a
constitutive
part
the
strategy
initiated
by
Ministry
Health
to
accelerate
efforts
towards
universal
coverage
in
Haiti.
Its
implementation
requires
planning
future
recruitment
and
activities
for
which
mathematical
modelling
tools
can
provide
useful
support
exploring
optimised
placement
scenarios
based
on
access
care
population
distribution.
We
combined
existing
gridded
estimates
travel
times
with
optimisation
methods
derive
theoretical
CHW
geographical
including
constraints
walking
time
number
people
served
per
CHW.
Four
national-scale
that
align
total
numbers
CHWs
ensure
each
does
not
exceed
predefined
threshold
are
compared.
first
scenario
accounts
distribution
rural
urban
areas
only,
while
other
three
also
incorporate
different
ways
proximity
centres.
Comparing
these
current
distribution,
insufficient
systematically
identified
several
departments
gaps
within
all
departments.
These
results
highlight
suboptimal
emphasize
need
consider
an
optimal
(re-)allocation.
Research Square (Research Square),
Год журнала:
2022,
Номер
unknown
Опубликована: Окт. 3, 2022
Abstract
Background:
Under-five
child
malaria
is
one
of
the
leading
causes
morbidity
and
mortality
globally,
especially
among
sub-Saharan
African
countries
like
Ghana.
In
Ghana,
responsible
for
about
20000
deaths
in
children
annually
which
25%
are
those
aged
<5
years.
To
provide
opportunities
efficient
surveillance
targeted
control
efforts
amidst
limited
public
health
resources,
we
produced
high
resolution
interactive
web-based
spatial
maps
that
characterized
geographical
differences
risk
identified
burden
communities.
Methods:
This
modelling
mapping
studyutilised
data
from
2019
Malaria
Indicators
Survey
(MIS)
Demographic
Health
Program.
A
novel
advanced
Bayesian
geospatial
approaches
were
utilized
to
examine
predictors
under-five
malaria.
The
model
was
validated
via
a
cross-validation
approach.
We
an
visualization
map
by
predicted
prevalence
at
both
sampled
unsampled
locations.
Results:
2019,
718
(25%)
2867
surveyed
had
Substantial
observed.
ITN
coverage
(log-odds
4.5643,
95%
credible
interval
=
2.4086
-
6.8874),
travel
time
0.0057,
0.0017
0.0099)
aridity
0.0600,
0.0079
0.1167)
predictive
model.
overall
national
16.3%
(standard
error
(SE)
8.9%)
with
range
0.7
%
51.4%
covariates
28.0%
(SE
13.9%)
2.4
67.2%
without
covariates.
Residing
parts
Central
Bono
East
regions
associated
highest
after
adjusting
selected
Conclusion:
high-resolution
can
be
used
as
effective
tool
identification
communities
require
urgent
interventions
program
managers
implementers.
key
part
strategy
reducing
its
country
resources
where
universal
intervention
practically
impossible.