Risk Analysis,
Journal Year:
2023,
Volume and Issue:
43(10), P. 1946 - 1961
Published: Jan. 8, 2023
COVID-19
has
caused
a
critical
health
concern
and
severe
economic
crisis
worldwide.
With
multiple
variants,
the
epidemic
triggered
waves
of
mass
transmission
for
nearly
3
years.
In
order
to
coordinate
control
development,
it
is
important
support
decision-making
on
precautions
or
prevention
measures
based
risk
analysis
different
countries.
This
study
proposes
national
model
(NRAM)
combining
Bayesian
network
(BN)
with
other
methods.
The
built
applied
through
three
steps.
(1)
key
factors
affecting
spreading
are
identified
form
nodes
BN.
Then,
each
node
can
be
assigned
state
values
after
data
collection
analysis.
(2)
will
determination
structure
parameters
some
integrated
(3)
scenario
deduction
sensitivity
in
context
COVID-19.
Through
comparison
models,
NRAM
shows
better
performance
assessment
at
Moreover,
reveals
that
higher
education
level
stricter
government
achieve
effects.
provides
new
insight
into
level.
GeoHealth,
Journal Year:
2021,
Volume and Issue:
5(5)
Published: May 1, 2021
From
the
heated
debates
over
airborne
transmission
of
novel
coronavirus
to
abrupt
Earth
system
changes
caused
by
sudden
lockdowns,
dire
circumstances
resulting
from
disease
2019
(COVID-19)
pandemic
have
brought
field
GeoHealth
forefront
visibility
in
science
and
policy.
The
has
inadvertently
provided
an
opportunity
study
how
human
response
impacted
system,
may
impact
pandemic,
capacity
inform
real-time
lessons
learned
throughout
our
responses
COVID-19
are
shaping
future
GeoHealth.
One Health,
Journal Year:
2021,
Volume and Issue:
13, P. 100335 - 100335
Published: Oct. 6, 2021
Research
on
the
impact
of
environment
COVID-19
diffusion
lacks
a
full-comprehensive
perspective,
and
neglecting
multiplicity
human-environment
system
can
lead
to
misleading
conclusions.
We
attempted
reveal
all
pre-existing
environmental-to-human
human-to-human
determinants
that
influence
transmission
COVID-19.
As
such,
estimated
daily
case
incidence
ratios
(CIR)
for
prefectures
across
mainland
China,
used
mixed-effects
mixed-distribution
model
study
association
between
CIR
114
factors
related
climate,
atmospheric
environmental
quality,
terrain,
population,
economic,
human
mobility
as
well
non-pharmaceutical
interventions
(NPIs).
Not
only
changes
in
over
time
pandemic
progresses
but
also
their
lag
interaction
effects
were
examined.
CO,
O3,
PM10
PM2.5
found
positively
linked
with
CIR,
effect
NO2
was
negative.
The
temperature
had
no
significant
minimum
humidity
negatively
predictor.
NPIs'
level
associated
until
15
days.
Higher
accumulated
destination
migration
scale
flow
from
epicenter
lower
distance
(DisWH)
higher
however,
DisWH
positive.
more
economically
developed
densely
populated
cities
have
probability
occurrence,
they
may
not
intensity.The
are
caused
by
environmental,
social
NPIs.
First,
multiple
pollutants
carried
simultaneously
particulate
matter
affect
transmission.
Second,
has
limited
spread
epidemic.
Third,
NPIs
must
last
at
least
days
or
longer
before
been
apparent.
Fourth,
population
movement
gradually
diminished
intraregional
deserves
attention.
