Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 6, 2023
Abstract
It
is
widely
considered
that
weather
conditions
affect
the
spread
of
COVID-19,
but
to
date,
collective
influence
demographic
factors
and
government
policy
response
measures
have
hardly
been
considered.
The
objective
this
study
utilize
a
machine
learning
method
assess
corresponding
roles
meteorological
variables,
factors,
in
daily
new
cases
COVID-19
among
multiple
climate
zones
at
city/county
level.
overall
model
showed
good
performance
with
validated
R
2
0.86,
as
satisfactory
individual
zone
models.
Population
density
ranked
most
important
factor,
followed
by
variables
measures.
Ultraviolet
radiation
temperature
dominated
association
seemed
be
inconsistent
different
zones.
Implementing
stricter
could
help
effectively
contain
did
so
lagged
effect,
typical
lockdown
might
not
applicable
all
conditions.
This
preliminarily
analyzed
certain
transmission
provided
practical
evidence
for
developing
an
early
health
warning
system
global
pandemics
leveraging
big
data
technology
sourced
fusion.
Chaos An Interdisciplinary Journal of Nonlinear Science,
Journal Year:
2023,
Volume and Issue:
33(5)
Published: May 1, 2023
Using
the
example
of
city
São
Paulo
(Brazil),
in
this
paper,
we
analyze
temporal
relation
between
human
mobility
and
meteorological
variables
with
number
infected
individuals
by
COVID-19
disease.
For
relation,
use
significant
values
distance
correlation
t0(DC),
which
is
a
recently
proposed
quantity
capable
detecting
nonlinear
correlations
time
series.
The
analyzed
period
was
from
February
26,
2020
to
June
28,
2020.
Fewer
movements
recreation
transit
stations
increase
maximal
temperature
have
strong
newly
cases
occurring
17
days
after.
Furthermore,
more
changes
grocery
pharmacy,
parks,
sudden
pressure
10
11
before
disease
begins
are
also
correlated
it.
Scanning
whole
data,
not
only
early
stage
disease,
observe
that
primarily
affect
for
0-19
In
other
words,
our
results
demonstrate
crucial
role
municipal
decree
declaring
an
emergency
influence
individuals.
Earth,
Journal Year:
2023,
Volume and Issue:
4(2), P. 278 - 295
Published: April 12, 2023
Changes
in
vertical
column
concentration,
size
distribution,
and
surface
concentration
of
aerosol
associated
with
the
lockdown
imposed
by
COVID-19
pandemic
2020
over
Ahmedabad
region
Gujarat
State,
India,
were
analyzed.
The
results
are
compared
changes
selected
Indo-Gangetic
Plain
(IGP)
regions.
On
25
March
2020,
prime
minister
India
declared
a
complete
throughout
country
later
lifted
restrictions
phased
manner.
Aerosol
optical
depth
(AOD)
on
29
dropped
to
as
low
0.11,
first
two
weeks
lockdown,
weekly
average
AOD
was
only
0.18.
almost
all
days
period,
lower
than
decadal
mean.
It
found
that
responded
differently
conditions
IGP
During
phase,
decreased
about
29%
pre-lockdown
period
region.
However,
reduction
much
more,
50%.
Angstrom
exponent
(AE)
0.96
during
increased
phase-wise
1.36
L3
indicating
dominance
fine-mode
particles
period.
suggests
anthropogenically
produced
coarse-mode
particles,
typically
dust
vehicular
movement,
construction,
industrial
activities.
other
hand,
region,
high
had
changed
especially
Delhi
This
indicates
which
mainly
generated
fossil
biofuels/biomass
combustion,
conditions.
Within
few
PM2.5
reduced
64%
76%
regions,
respectively.
provided
an
excellent
opportunity
ascertain
background
atmosphere.
Research Square (Research Square),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Dec. 2, 2022
Abstract
Using
the
example
of
city
São
Paulo
(Brazil),
in
this
paper,
we
analyze
temporal
relation
between
human
mobility
and
meteorological
variables
with
number
infected
individuals
by
COVID-19
disease.
For
relation,
use
significant
values
distance
correlation
t
0
(DC),
which
is
a
recently
proposed
quantity
capable
detecting
nonlinear
correlations
time
series.
The
whole
period
analyzed
goes
from
Feb
26th
to
Jun
28th,
2020.
Fewer
movements
Recreation
Transit
Stations
increase
maximal
temperature,
{have
strong
newly
cases
occurring
17
days
after.
Furthermore,
more
changes
Grocery
Pharmacy,
Parks
Recreation,
sudden
pressure
at
10
11
before
disease's
beginning
are
also
correlated
it.
Scanning
data,
not
only
early
stage
disease,
observe
that
primarily
affect
disease
for
19
In
other
words,
our
results
demonstrate
crucial
role
Municipal
Decree
declaring
an
emergency
influence
individuals.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 6, 2023
Abstract
It
is
widely
considered
that
weather
conditions
affect
the
spread
of
COVID-19,
but
to
date,
collective
influence
demographic
factors
and
government
policy
response
measures
have
hardly
been
considered.
The
objective
this
study
utilize
a
machine
learning
method
assess
corresponding
roles
meteorological
variables,
factors,
in
daily
new
cases
COVID-19
among
multiple
climate
zones
at
city/county
level.
overall
model
showed
good
performance
with
validated
R
2
0.86,
as
satisfactory
individual
zone
models.
Population
density
ranked
most
important
factor,
followed
by
variables
measures.
Ultraviolet
radiation
temperature
dominated
association
seemed
be
inconsistent
different
zones.
Implementing
stricter
could
help
effectively
contain
did
so
lagged
effect,
typical
lockdown
might
not
applicable
all
conditions.
This
preliminarily
analyzed
certain
transmission
provided
practical
evidence
for
developing
an
early
health
warning
system
global
pandemics
leveraging
big
data
technology
sourced
fusion.
