Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions
The Lancet Public Health,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Artificial
intelligence
(AI)
can
rapidly
analyse
large
and
complex
datasets,
extract
tailored
recommendations,
support
decision
making,
improve
the
efficiency
of
many
tasks
that
involve
processing
data,
text,
or
images.
As
such,
AI
has
potential
to
revolutionise
public
health
practice
research,
but
accompanying
challenges
need
be
addressed.
used
surveillance,
epidemiological
communication,
allocation
resources,
other
forms
making.
It
also
productivity
in
daily
work.
Core
its
widespread
adoption
span
equity,
accountability,
data
privacy,
for
robust
digital
infrastructures,
workforce
skills.
Policy
makers
must
acknowledge
regulatory
frameworks
covering
lifecycle
relevant
technologies
are
needed,
alongside
sustained
investment
infrastructure
development.
Public
institutions
play
a
key
part
advancing
meaningful
use
by
ensuring
their
staff
up
date
regarding
existing
provisions
ethical
principles
development
technologies,
thinking
about
how
prioritise
equity
design
implementation,
investing
systems
securely
process
volumes
needed
applications
governance
cybersecurity,
promoting
through
clear
guidelines
align
with
human
rights
good,
considering
AI's
environmental
impact.
Язык: Английский
A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data
Computation,
Год журнала:
2025,
Номер
13(4), С. 86 - 86
Опубликована: Март 25, 2025
We
study
the
relationship
between
tweets
referencing
Acute
Respiratory
Infections
(ARI)
or
COVID-19
symptoms
and
confirmed
cases
of
these
diseases.
Additionally,
we
propose
a
computational
methodology
for
selecting
applying
Machine
Learning
(ML)
algorithms
to
predict
public
health
indicators
using
social
media
data.
To
achieve
this,
novel
pipeline
was
developed,
integrating
three
distinct
models
ARI
COVID-19.
The
dataset
contains
related
respiratory
diseases,
published
2020
2022
in
state
San
Luis
Potosí,
Mexico,
obtained
via
Twitter
API
(now
X).
is
composed
stages,
it
involves
tools
such
as
Dataiku
Python
with
ML
libraries.
first
two
stages
focuses
on
identifying
best-performing
predictive
models,
while
third
stage
includes
Natural
Language
Processing
(NLP)
tweet
selection.
One
our
key
findings
that
contributed
improved
predictions
but
did
not
enhance
time
series
predictions.
NLP
approach
combination
Word2Vec
algorithm
KMeans
model
Furthermore,
both
by
3%
second
half
when
were
included
feature,
where
best
prediction
DeepAR.
Язык: Английский
New WHO Priorities in the European Region and Health Workforce Competencies: A Rapid Assessment of Capacities and Gaps in Public Health Competencies Frameworks
The International Journal of Health Planning and Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 10, 2025
ABSTRACT
The
74th
WHO
Europe
Regional
Committee
introduced
a
set
of
health
priorities
comprising
core
areas
public
and
expanded
tasks
to
respond
multiple
crises
emergent
needs
populations
systems.
No
systematic
procedure
competencies
development
routine
review
has
been
established
align
changing
policy
workforce.
We
argue
for
transformative
approach
from
theoretical
constructs
actionable
pathways.
A
rapid
qualitative
assessment
three
the
most
relevant
workforce
frameworks
in
European
region
was
undertaken
using
selected
as
cases.
results
highlight
that
existing
provide
some
helpful
guidance,
but
gaps
exist
specific
generic
leadership.
Further
research
are
needed,
calling
national
policymakers
action
invest
evolving
priorities.
Язык: Английский