Vaccine tender scheduling and procurement: A taxonomic review
Nicholas Uhorchak,
No information about this author
Burak Ekşioğlu,
No information about this author
Rubén A. Proaño
No information about this author
et al.
Elsevier eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Language: Английский
Vaccine-Sensitive Allocation – Another Divide to Divide Us?
The American Journal of Bioethics,
Journal Year:
2024,
Volume and Issue:
24(7), P. 97 - 99
Published: June 24, 2024
Language: Английский
Analyzing Google COVID-19 Vaccine Intent Search Trends and Vaccine Readiness in the United States: Panel Data Study
Online Journal of Public Health Informatics,
Journal Year:
2024,
Volume and Issue:
16, P. e55422 - e55422
Published: July 29, 2024
Factors
such
as
anxiety,
worry,
and
perceptions
of
insufficient
knowledge
about
a
topic
motivate
individuals
to
seek
web-based
health
information
guide
their
health-related
decision-making.
These
factors
converged
during
the
COVID-19
pandemic
were
linked
vaccination
While
research
shows
that
search
relevant
was
associated
with
subsequent
vaccine
uptake,
less
is
known
intent
(which
assesses
availability,
accessibility,
eligibility)
signal
readiness.
Language: Английский
Twitter/X Emotions Analysis on COVID-19 Vaccines: A Journey Through Few-Shot Learnin
AmirReza BabaAhmadi,
No information about this author
Azin Sabzian,
No information about this author
Mehrimah Amirpour
No information about this author
et al.
Published: April 24, 2024
Social
networks
empower
individuals
to
freely
share
their
perspectives
on
a
diverse
array
of
subjects.
One
such
topic
is
the
impact
coronavirus
vaccine
in
preventing
disease.
People
have
written
varying
reviews
this
matter
through
tweets.
These
would
contribute
grasp
people's
feelings
and
sentiments
about
Covid-19
vaccination.
common
method
employed
by
businesses
assess
sentiment
social
data
Sentiment
analysis.
Our
model
classifies
individuals'
into
three
labeled
categories:
negative,
neutral
positive.
We
used
Few
Shot
Learning
offer
cost-effective
training
method,
particularly
paraphrase-mpnet-base-v2,
improve
text
classification
Kaggle-extracted
tweet
dataset.
The
findings
derived
from
experiment
suggest
that
our
has
achieved
96.37%
accuracy
score,,
which
outperformed
previous
published
works.
Language: Английский
Temporal trends in online searches related to COVID-19 vaccine safety: A digital infodemiology study
Health Promotion Perspectives,
Journal Year:
2024,
Volume and Issue:
14(3), P. 304 - 311
Published: Oct. 31, 2024
Background:
The
rapid
development
of
COVID-19
vaccines
may
have
raised
public
concerns
about
their
safety
and
side
effects
in
the
United
States
(US).
This
study
aimed
to
assess
trends
online
searches
related
US
from
2021-2022.
Methods:
Google
Vaccination
Search
Insights
was
used
analyze
vaccine
January
4,
2021,
November
21,
2022
(98
weeks).
Data
were
scaled
0
(low
interest)
100
(high
as
a
fixed
scaling
factor
called
normalized
interest
(SNI)
indicate
relative
search
over
time
by
location.
A
joinpoint
regression
analysis
determine
during
period.
Results:
Analysis
included
709
counties
across
38
states.
Searches
peaked
April
2021
District
Columbia
(SNI:
35.8),
Massachusetts
(29.7),
New
Hampshire
(27.4),
Connecticut
(27.3),
Maine
(26.7),
then
decreased
significantly
an
average
monthly
percentage
change
(AMPC)
-16.6%
(95%
CI
-19.9
-13.3)
until
July
2022.
Overall
AMPC
-8.9%
-16.2
-0.9;
P<0.001).
Conclusion:
Online
dramatically
time,
supporting
utility
digital
surveillance
track
real-time
concerns.
provides
insights
into
risks
can
help
monitor
potential
issues.
Language: Английский