Trends, seasonal variations and forecasting of chronic respiratory disease morbidity in charcoal producing areas, northwest Ethiopia: time series analysis
Frontiers in Epidemiology,
Journal Year:
2025,
Volume and Issue:
4
Published: Jan. 15, 2025
This
study
analyzed
the
trend,
seasonal
variations
and
forecasting
of
chronic
respiratory
disease
morbidity
in
charcoal
producing
areas,
northwest
Ethiopia,
aiming
to
provide
evidences
planning,
designing
strategies,
decision-makings
for
preparedness
resource
allocation
prevent
CRD
reduce
public
health
burden
future.
The
variation,
were
estimated
using
data
collected
from
three
zones
Amhara
region
annual
reports
DHIS2
records.
Smoothing
decomposition
analysis
was
employed
demonstrate
trend
component
CRD.
ARIMA
(2,
1,
2)
(0,
0,
0)
model
used
forecast
morbidity.
model's
fitness
checked
based
on
Bayesian
information
criteria.
stationarity
assessed
with
a
line
chart
statistically
Ljung-Box
Q-test.
SPSS
version
27
utilized
statistical
analysis.
rate
has
shown
an
increasing
both
sexes
over
seven-year
period
among
people
aged
15
years
older.
Seasonal
variation
observed.
smoothing
depicted
that
attributed
44.47%
19.16%
excess
cases
between
September
November,
June
August,
respectively.
A
substantial
difference
noted,
highest
observed
Awi
zone.
Forecasting
revealed
CRD-related
will
continue
increase
2020
2030.
2013
2019.
observed,
peak
November.
next
ten
(2020-2030).
Therefore,
this
could
potentially
play
groundbreaking
role.
Further
is
warranted
understand
risk
factors
facility
readiness
through
further
understanding
seasonality
future
trends.
Language: Английский
Computational intelligence techniques for achieving sustainable development goals in female cancer care
Discover Sustainability,
Journal Year:
2024,
Volume and Issue:
5(1)
Published: Nov. 11, 2024
This
narrative
review
explores
the
intersection
of
computational
intelligence
(CI)
techniques
and
Sustainable
Development
Goals
(SDGs)
in
context
female
cancer
patients.
With
increasing
prevalence
among
women
worldwide,
there
is
a
pressing
need
to
integrate
advanced
methods
enhance
diagnosis,
treatment,
management.
highlights
various
CI
methods,
including
artificial
intelligence,
machine
learning
data
science,
examines
their
contributions
achieving
specific
SDGs
like
health
well-being
(SDG
3),
gender
parity
5),
reduced
disparity
10).
Additionally,
considers
impact
on
other
relevant
SDGs,
such
as
poverty
eradication
1),
quality
education
4),
economic
growth
decent
work
8),
innovation
infrastructure
9),
global
partnerships
17).
The
paper
discusses
current
state
applications
care,
identifies
challenges,
proposes
future
directions
for
research
practice.
Language: Английский
Quality of Data in Population-Based Cancer Registry and its Implications for Cancer Control: A Cross-Sectional Study in Northern Tanzania
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 14, 2024
Abstract
Background:
Cancer
remains
a
significant
global
health
challenge,
especially
in
low-resource
settings
where
limited
data
obstructs
effective
control
measures.
Reliable
cancer
registries
are
essential
tools
for
collecting,
managing,
and
analyzing
cancer-related
data.
In
Tanzania,
as
many
other
sub-Saharan
African
countries,
the
need
accurate
timely
is
critical
informed
decision-making.
This
study
assesses
quality
of
population-based
registry
Tanzania
to
improve
efforts.
Methodology:
adopted
descriptive
cross-sectional
design
analyze
9617
records
patients
database
(Canreg5)
from
2018
2022.
Data
analysis
done
using
Stata
17.0
IARC
validity
check
software.
The
percentage
complete,
valid,
was
computed
compared
with
required
target.
Comparability
age-standardized
rates
(ASR)
percentages
morphologically
verified
(MV%)
against
standards
Africa.
Results:
defined
period
2022,
total
9,617
were
included
final
analysis.
found
high
indicators:
completeness
at
94%
mandatory
variables,
76%,
timeliness
93%,
comparability
Africa
60%.
However,
variations
noticed
cases
(MV).
For
findings,
mouth
pharynx
had
lower
males
(5.7)
females
(3.4)
but
morphological
verification
rates.
Esophageal
significantly
higher
ASR
(22.0)
(6.1),
moderate
Stomach
Colon,
rectum,
anus
comparable
Conclusion:
site
optimal,
proportion
completeness,
timeliness,
comparability,
suboptimal
data,
particularly
date
format,
unlike
combinations
that
highlight
continuous
monitoring
checks.
While
vital,
challenges
like
missing
invalid
persist,
necessitating
reinforced
protocols
validation
Language: Английский
Prevalence and associated factors of cancer-related fatigue among adult patients with cancer attending oncology units: an institution-based cross-sectional study design in the Amhara region, Ethiopia, 2022
BMJ Public Health,
Journal Year:
2024,
Volume and Issue:
2(2), P. e000884 - e000884
Published: Aug. 1, 2024
Introduction
Cancer-related
fatigue
(CRF)
continues
to
be
a
common
problem
among
most
patients
with
cancer.
It
is
subjective
feeling
of
tiredness,
weakness
or
lack
energy.
CRF
has
significant
impact
on
social
interactions,
everyday
activities
and
the
general
quality
life
cancer
worldwide.
However,
little
known
about
in
Ethiopia
as
well
current
study
area.
Therefore,
aim
this
was
assess
prevalence
associated
factors
adult
attending
oncology
units
at
comprehensive
specialised
hospitals
Amhara
regional
state
Ethiopia.
Methods
An
institution-based
cross-sectional
conducted
undergoing
treatment.
A
systematic
random
sampling
technique
employed
select
participants.
interviewer-administered
questionnaire
participants’
medical
charts
were
used
collect
data.
The
consisted
eight
subsections,
including
sociodemographic
characteristics,
behavioural
Brief
Fatigue
Inventory,
Performance
Status
Scale,
Oslo
Social
Support
Status,
Hospital
Anxiety
Depression
Pittsburgh
Sleep
Quality
Index,
clinical
factors.
data
entered
into
EpiData
V.4.6
exported
SPSS
V.26
for
analysis.
characteristics
compiled
using
descriptive
statics.
Bivariable
multivariable
logistic
regressions
identify
associations
between
dependent
independent
variables.
Variables
value
p<0.05
considered
statistically
significant.
Result
total
326
randomly
selected
cancer,
treatment,
participated
study;
response
rate
94%.
found
63.93%
(95%
CI
58.5%
69.25%).
(adjusted
OR
(AOR)
1.975,
95%
1.009
3.865),
poor
sleep
(AOR
3.309,
1.057
10.345),
performance
status
1.983,
1.176
4.70),
stage
3.242,
1.016
10.342)
admitted
2.047,
1.122
3.734)
CRF.
Conclusion
recommendation
high.
Stage
quality,
status,
depression
hospital
admission
results
show
that
healthcare
providers
should
focus
risk
through
early
screening
management.
Language: Английский
Targeting Arachidonic Acid Pathway with Natural Ingredients from Traditional Chinese Medicine for Cancer Prevention and Therapy
Natural Product Communications,
Journal Year:
2024,
Volume and Issue:
19(12)
Published: Dec. 1, 2024
In
the
process
of
cancer
transformation,
arachidonic
acid
(AA)
serves
as
an
important
metabolic
pathway,
contributing
to
production
carcinogens
by
participating
in
enzyme
processes,
like
phospholipase
A2,
cyclooxygenases,
cytochrome
P450,
and
lipoxygenases.
Chemopreventive
drugs
for
various
cancers
have
been
developed
from
natural
products
that
inhibit
AA
pathway.
Moreover,
different
monomers
components
traditional
Chinese
medicine
(TCM)
are
widely
suggested
be
effective
on
preventing
treating
chemically.
The
present
work
focused
analyzed
therapeutic
methods
ingredients
TCM,
targeting
pathways
three
enzymes
within
Additionally,
we
summarized
substantial
effect
TCM
effectively
inhibiting
tumors
regulating
this
Language: Английский