BMC Infectious Diseases,
Journal Year:
2022,
Volume and Issue:
22(1)
Published: June 4, 2022
COVID-19
and
Sexually
Transmitted
Diseases
(STDs)
are
two
very
important
diseases.
However,
relevant
researches
about
how
pandemic
has
impacted
on
the
epidemiological
trend
of
STDs
limited
in
China.
This
study
aimed
to
analyze
impact
China
proposed
recommendations
be
used
bettering
health.The
incidence
HIV
infection,
syphilis
gonorrhea
from
2008
2020
were
collected.
Grey
Model
(1,1)
established
predict
with
data
these
three
2013
2018
considering
policies
China,
respectively.
We
then
calculated
predictive
each
STD
2019,
2021
by
Model.
And
we
estimated
extent
changes
analyzing
difference
between
absolute
percentage
error
(APE)
actual
rate
2019
2020.The
infection
showed
a
increase
but
that
for
was
fluctuant.
Of
note,
decreased
significantly
compared
2019.
The
APE
(20.54%,
15.45%
60.88%)
7
times,
4
times
2
(2.94%,
4.07%
30.41%).
would
5.77/100,000,
39.64/100,000
13.19/100,000
based
our
model.The
significant
influenced
pandemic.
It
is
balance
control
timely
management
during
epidemic
prevent
or
reduce
poor
outcome
among
patients
STDs.
New
strategies
STDs,
such
as
leveraging
social
media,
online
medical
care,
rapid
self-testing,
diagnosis
treatment
guarantee
resources
should
adapted
context
long-term
effects
COVID-19.
Heliyon,
Journal Year:
2023,
Volume and Issue:
9(8), P. e18769 - e18769
Published: Aug. 1, 2023
The
COVID-19
pandemic
has
become
a
global
public
health
crisis,
causing
significant
morbidity
and
mortality
worldwide.
As
an
early
response,
different
lockdowns
were
imposed
in
the
UK
(and
world)
to
limit
spread
of
disease.
Although
effective,
these
measures
profoundly
impacted
mobility
patterns
across
cities,
significantly
reducing
number
people
commuting
work
or
travelling
for
leisure.
governments
introduced
massive
vaccination
programs
tackle
pandemic,
cities
have
but
slowly
increased
human
mobility,
enabling
resumption
travel,
work,
social
activities.
Nevertheless,
how
much
can
this
return
normal
be
attributed
vaccines?
In
study,
we
answer
question
using
statistical
approach,
analysing
two
open
urban
datasets
quantify
effect
rollouts
had
on
Infectious Disease Modelling,
Journal Year:
2024,
Volume and Issue:
9(2), P. 397 - 410
Published: Feb. 7, 2024
This
paper
presents
a
comprehensive
agent-based
model
for
the
spread
of
an
infection
in
network
cities.
Directional
mobility
is
defined
between
each
two
cities
and
can
take
different
values.
The
work
examines
role
that
such
levels
play
containing
with
various
vaccination
coverage
age
distributions.
results
indicate
reduction
sufficient
to
control
disease
under
all
circumstances
full
lockdowns
are
not
necessity.
It
has
be
reduced
ratios
depending
on
level
distribution.
A
key
finding
increasing
above
certain
does
affect
suppression
required
anymore
cases
young
population
heterogeneous
By
investigating
several
migration
commuting
patterns,
it
found
shutting
few
local
places
favored
against
reducing
over
entire
country
network.
In
addition,
-and
migration-influences
infection.
offers
exclusive
combined
network-based
makes
use
randomly
generated
matrices.
Mathematical Biosciences & Engineering,
Journal Year:
2024,
Volume and Issue:
21(8), P. 6936 - 6974
Published: Jan. 1, 2024
<p>The
global
impact
of
the
COVID-19
pandemic
is
widely
recognized
as
a
significant
concern,
with
human
flow
playing
crucial
role
in
its
propagation.
Consequently,
recent
research
has
focused
on
identifying
and
analyzing
factors
that
can
effectively
regulate
flow.
However,
among
multiple
are
expected
to
have
an
effect,
few
studies
investigated
those
particularly
associated
during
pandemic.
In
addition,
how
regional
characteristics
number
vaccinations
for
these
affect
Furthermore,
increasing
verified
cases
countries
regions
insufficient
reports
important
generalize
conclusions.
Therefore,
this
study,
group-level
analysis
was
conducted
Narashino
City,
Chiba
Prefecture,
Japan,
using
prediction
model
based
machine
learning.
High-importance
groups
were
subdivided
by
vaccinations,
visual
correlation
analyses
at
factor
level.
The
findings
indicated
tree-based
models,
especially
LightGBM,
performed
better
terms
prediction.
cumulative
vaccinated
individuals
newly
infected
likely
explanatory
changes
suggested
tendency
move
respect
Japan
or
Tokyo,
rather
than
new
infections
area
where
they
lived
when
vaccination
had
not
started.
With
implementation
vaccination,
attention
their
residential
areas
may
increase.
after
spread
perception
infection
risk
decrease.
These
contribute
proposal
measures
efficiently
controlling
flows
determining
mitigate
reinforce
specific
measures.</p>
