International Journal of Environmental Research and Public Health,
Год журнала:
2021,
Номер
18(16), С. 8638 - 8638
Опубликована: Авг. 16, 2021
The
differential
spread
and
impact
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2),
causing
Coronavirus
Disease
2019
(COVID-19),
across
regions
is
a
major
focus
for
researchers
policy
makers.
Africa
has
attracted
tremendous
attention,
due
to
predictions
catastrophic
impacts
that
have
not
yet
materialized.
Early
in
the
pandemic,
seemingly
low
African
case
count
was
largely
attributed
testing
reporting.
However,
there
reason
consider
many
countries
attenuated
early
on.
Factors
explaining
include
government
community-wide
actions,
population
distribution,
social
contacts,
ecology
human
habitation.
While
recent
data
from
seroprevalence
studies
posit
more
extensive
circulation
virus,
continuing
COVID-19
burden
may
be
explained
by
demographic
pyramid,
prevalence
pre-existing
conditions,
trained
immunity,
genetics,
broader
sociocultural
dynamics.
Though
all
these
prongs
contribute
observed
profile
Africa,
some
provide
stronger
evidence
than
others.
This
review
important
expand
what
known
about
pandemics,
enhancing
scientific
understanding
gearing
appropriate
public
health
responses.
Furthermore,
it
highlights
potential
lessons
draw
global
on
assumptions
regarding
deadly
viral
given
its
long
experience
with
infectious
diseases.
The Lancet Planetary Health,
Год журнала:
2022,
Номер
6(10), С. e825 - e833
Опубликована: Окт. 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.
An
impressive
number
of
COVID-19
data
catalogs
exist.
However,
none
are
fully
optimized
for
science
applications.
Inconsistent
naming
and
conventions,
uneven
quality
control,
lack
alignment
between
disease
potential
predictors
pose
barriers
to
robust
modeling
analysis.
To
address
this
gap,
we
generated
a
unified
dataset
that
integrates
implements
checks
the
from
numerous
leading
sources
epidemiological
environmental
data.
We
use
globally
consistent
hierarchy
administrative
units
facilitate
analysis
within
across
countries.
The
applies
align
with
other
types
relevant
understanding
predicting
risk,
including
hydrometeorological
data,
air
quality,
information
on
control
policies,
vaccine
key
demographic
characteristics.
Medicina,
Год журнала:
2021,
Номер
57(3), С. 240 - 240
Опубликована: Март 5, 2021
Background:
One
Health
is
a
comprehensive
and
multisectoral
approach
to
assess
examine
the
health
of
animals,
humans
environment.
However,
while
gains
increasing
momentum,
its
practical
application
meets
hindrances.
This
paper
investigates
environmental
pillar
approach,
using
two
case
studies
highlight
integration
considerations.
The
first
study
pertains
Danish
monitoring
surveillance
programme
for
antimicrobial
resistance,
DANMAP.
second
illustrates
occurrence
aflatoxin
M1
(AFM1)
in
milk
dairy-producing
ruminants
Italian
regions.
Method:
A
scientific
literature
search
was
conducted
PubMed
Web
Science
locate
articles
informing
cases.
Grey
gathered
describe
cases
as
well
their
contexts.
Results:
19
10
reports
were
reviewed
informed
show
how
component
influences
apparent
impacts
human
animal
health.
DANMAP
highlights
approaches
farm
fork.
provides
information
on
comprehensiveness
DANMAP,
but
some
shortcomings
terms
AFM1
case,
metabolite
carcinogenic
mycotoxin
B1,
shows
that
dairy
products
are
heavily
impacted
by
changes
climate
economic
drivers.
Conclusions:
conditions
directly
influence
onset
diffusion
hazardous
factors.
Climate
change,
treatment
soils,
water
standards
slaughterhouses
farms
can
have
great
impact
Hence,
it
important
include
considerations,
example,
via
engaging
experts
sharing
data.
Further
will
help
better
define
roles
environment
scenarios.
International Journal of Environmental Research and Public Health,
Год журнала:
2021,
Номер
18(12), С. 6636 - 6636
Опубликована: Июнь 20, 2021
In
the
last
year,
in
connection
with
COVID-19
pandemic
caused
by
SARS-CoV-2
coronavirus,
scientific
papers
have
appeared
which
authors
are
trying
to
identify
factors
(including
environmental)
favoring
spread
of
this
disease.
This
paper
presents
spatial
differentiation
total
number
cases
and
deaths
during
full
year
(March
2020-March
2021)
Poland
versus
green-blue
spaces
(green-i.a.
forests,
orchards,
meadows
pastures,
recreational
rest
areas,
biologically
active
arable
land;
blue-lakes
artificial
water
reservoirs,
rivers,
ecological
areas
internal
waters)
population
density.
The
analysis
covers
380
counties,
including
66
cities.
study
used
daily
reports
on
progress
published
Ministry
Health
Republic
unique,
detailed
data
24
types
land
use
available
Statistics
database.
Statistical
relationships
were
determined
between
above-mentioned
environmental
variables
characterizing
(cases
deaths).
Various
basic
regression
models
analysed.
optimal
model
was
selected,
determination
coefficient,
significance
level
values
parameters
these
relationships,
together
estimation
error,
calculated.
obtained
results
indicated
that
higher
individual
lower
infections
deaths.
These
described
logarithmic
homographic
models.
turn,
an
increase
density
deaths,
according
power
model.
can
be
current
pandemic,
location
potential
outbreaks.
developed
as
a
tool
forecasting
development
making
decisions
about
implementation
preventive
measures.
