Heliyon,
Journal Year:
2024,
Volume and Issue:
10(3), P. e25134 - e25134
Published: Jan. 26, 2024
Environmental
factors
have
been
suspected
to
influence
the
propagation
and
lethality
of
COVID-19
in
global
population.
However,
most
studies
limited
correlation
analyses
did
not
use
specific
methods
address
dynamic
causal
relationship
between
virus
its
external
drivers.This
work
focuses
on
inferring
understanding
effect
critical
air
pollutants
meteorological
parameters
by
using
an
Empirical
Dynamic
Modeling
approach
called
Convergent
Cross
Mapping.
This
technique
allowed
us
identify
time-delayed
causation
sign
interactions.
Considering
remarkable
urban
environment
mortality
rate
during
pandemic,
Quito,
Ecuador,
was
chosen
as
a
case
study.Our
results
show
that
both
pollution
meteorology
impact
COVID-19.
Even
if
strength
causality
vary
over
time,
general
trend
can
be
drawn.
NO2,
SO2,
CO
PM2.5
positive
for
infections
(ρ
>
0.35
∂
9.1).
Contrary
current
knowledge,
this
study
shows
rapid
cases
(1
<
lag
days
<24)
negative
O3
COVID-19-related
deaths
=
0.53
−0.3).
Regarding
meteorology,
temperature
0.24
−0.4)
wind
speed
0.34
−3.9)
tend
mitigate
epidemiological
consequences
SARS-CoV-2,
whereas
relative
humidity
seems
increase
excess
0.4
0.05).A
network
is
proposed
synthesize
interactions
studied
variables
provide
simple
model
support
management
coronavirus
outbreaks.
Sustainability,
Journal Year:
2020,
Volume and Issue:
12(22), P. 9709 - 9709
Published: Nov. 20, 2020
The
pandemic
caused
by
novel
coronavirus
disease
2019
(COVID-19)
is
generating
a
high
number
of
cases
and
deaths,
with
negative
effects
on
public
health
economic
systems.
One
the
current
questions
in
contemporary
environmental
sustainability
debate
how
air
pollution
reduced
use
renewable
energy
can
affect
diffusion
COVID-19.
This
study
endeavors
to
explain
relation
between
days
pollution,
wind
resources
energy,
COVID-19
provide
insights
into
sustainable
policy
prevent
future
epidemics.
statistical
analysis
here
focuses
case
Italy,
one
first
countries
experience
rapid
increase
confirmed
deaths.
results
reveal
two
main
findings:
(1)
cities
speed
production
have
lower
context
more
environment;
(2)
located
hinterland
zones
low
less
greater
total
presented
suggest
that
(SARS-CoV-2)
epidemics
similar
cannot
be
solved
only
research
medicine
but
solution
also
needs
advanced
capabilities
technologies
for
supporting
development
based
reduction
improve
quality
as
consequence
health.
Environment Development and Sustainability,
Journal Year:
2021,
Volume and Issue:
23(8), P. 12044 - 12055
Published: Jan. 6, 2021
Coronavirus
disease
2019
(COVID-19)
is
an
infectious
caused
by
severe
acute
respiratory
syndrome
coronavirus.
It
was
first
identified
in
December
Wuhan,
Hubei,
China,
and
has
resulted
ongoing
pandemic.
As
of
5
July
2020,
more
than
11.1
million
cases
have
been
reported
across
188
countries
territories,
resulting
528,000
deaths.
More
6.03
people
recovered.
The
entire
world
population
currently
faces
enormous
challenges
(i.e.,
social,
environmental,
health,
economic)
due
to
the
impact
COVID-19.
In
this
regard,
affected
are
now
trying
slow
down
virus's
transmission
through
social-distancing,
lockdowns,
increasing
number
tests
treatment
facilities.
There
four
lockdowns
(25
March
2020-31
May
2020),
two
unlock
periods
(1
June-31
2020)
India.
Aerosol
Optical
Depth
(AOD)
analyzed
using
MODIS
satellite
data
during
various
phases
over
With
implementation
lockdown
steps,
AOD
values
dropped
significantly
regions.
A
significant
reduction
North-Central
regions
(up
-50%)
compared
South
or
Northeast
these
lock/unlock
phases.
also
observed
that
there
a
considerable
buildup
pre-lockdown
period
year
2020
as
past
years.
The Lancet Planetary Health,
Journal Year:
2022,
Volume and Issue:
6(10), P. e825 - e833
Published: Oct. 1, 2022
In
this
Personal
View,
we
explain
the
ways
that
climatic
risks
affect
transmission,
perception,
response,
and
lived
experience
of
COVID-19.
First,
temperature,
wind,
humidity
influence
transmission
COVID-19
in
not
fully
understood,
although
non-climatic
factors
appear
more
important
than
explaining
disease
transmission.
Second,
extremes
coinciding
with
have
affected
exposure,
increased
susceptibility
people
to
COVID-19,
compromised
emergency
responses,
reduced
health
system
resilience
multiple
stresses.
Third,
long-term
climate
change
prepandemic
vulnerabilities
risk
for
some
populations
(eg,
marginalised
communities).
The
interact
vary
considerably
between
within
regions,
are
by
dynamic
complex
interactions
underlying
socioeconomic,
political,
demographic,
cultural
conditions.
These
conditions
can
lead
vulnerability,
resilience,
transformation,
or
collapse
systems,
communities,
livelihoods
throughout
varying
timescales.
It
is
response
recovery
measures
consider
risks,
particularly
locations
susceptible
extremes,
through
integrated
planning
includes
public
health,
disaster
preparedness,
management,
sustainable
development,
humanitarian
response.
