The
seasonality
of
COVID-19
is
important
for
effective
healthcare
and
public
health
decision-making.
Previous
waves
SARS-CoV-2
infections
have
indicated
that
the
virus
will
likely
persist
as
an
endemic
pathogen
with
distinct
surges.
However,
timing
patterns
potentially
seasonal
surges
remain
uncertain,
rendering
policies
uninformed
in
danger
poorly
anticipating
opportunities
intervention,
such
well-timed
booster
vaccination
drives.
Applying
evolutionary
approach
to
long-term
data
on
closely
related
circulating
coronaviruses,
our
research
provides
projections
should
be
expected
at
major
temperate
population
centers.
These
enable
local
efforts
are
tailored
specific
locales
or
regions.
This
knowledge
crucial
enhancing
medical
preparedness
facilitating
implementation
targeted
interventions.
International Journal of Epidemiology,
Journal Year:
2021,
Volume and Issue:
51(1), P. 35 - 53
Published: May 25, 2021
Abstract
Background
This
study
aimed
to
investigate
overall
and
sex-specific
excess
all-cause
mortality
since
the
inception
of
COVID-19
pandemic
until
August
2020
among
22
countries.
Methods
Countries
reported
weekly
or
monthly
from
January
2015
end
June
2020.
Weekly
deaths
were
for
Excess
was
calculated
by
comparing
(observed
deaths)
against
a
baseline
obtained
2015–2019
data
same
week
month
using
two
methods:
(i)
difference
in
observed
rates
between
average
(ii)
expected
deaths.
Results
Brazil,
France,
Italy,
Spain,
Sweden,
UK
(England,
Wales,
Northern
Ireland
Scotland)
USA
demonstrated
mortality,
whereas
Australia,
Denmark
Georgia
experienced
decrease
mortality.
Israel,
Ukraine
changes
Conclusions
All-cause
up
higher
than
previous
years
some,
but
not
all,
participating
Geographical
location
seasonality
each
country,
as
well
prompt
application
high-stringency
control
measures,
may
explain
variability
changes.
Annals of GIS,
Journal Year:
2022,
Volume and Issue:
28(4), P. 501 - 514
Published: March 3, 2022
Without
a
widely
distributed
vaccine,
controlling
human
mobility
has
been
identified
and
promoted
as
the
primary
strategy
to
mitigate
transmission
of
COVID-19.
Many
studies
have
reported
relationship
between
COVID-19
by
utilizing
spatial-temporal
information
data
from
various
sources.
To
better
understand
role
in
pandemic,
we
conducted
systematic
review
articles
that
measure
terms
their
sources,
mathematical
models,
key
findings.
Following
guidelines
Preferred
Reporting
Items
for
Systematic
Reviews
Meta-Analyses
(PRISMA)
statement,
selected
47
Web
Science
Core
Collection
up
September
2020.
Restricting
reduced
COVID-19,
although
effectiveness
stringency
policy
implementation
vary
temporally
spatially
across
different
stages
pandemic.
We
call
prompt
sustainable
measures
control
also
recommend
researchers
1)
enhance
multi-disciplinary
collaboration;
2)
adjust
mobility-control
policies
corresponding
rapid
change
pandemic;
3)
improve
models
used
analysing,
simulating,
predicting
disease;
4)
enrich
source
ensure
accuracy
suability.
International Journal of Environmental Research and Public Health,
Journal Year:
2021,
Volume and Issue:
18(8), P. 4240 - 4240
Published: April 16, 2021
Coronavirus
disease
2019
(COVID-19)
vaccination
has
recently
started
worldwide.
As
the
vaccine
supply
will
be
limited
for
a
considerable
period
of
time
in
many
countries,
it
is
important
to
devise
effective
strategies
that
reduce
number
deaths
and
incidence
infection.
One
characteristics
COVID-19
symptom,
severity,
mortality
differ
by
age.
Thus,
when
limited,
age-dependent
priority
strategy
should
implemented
minimize
incidences
mortalities.
In
this
study,
we
developed
an
age-structured
model
describing
transmission
dynamics
COVID-19,
including
vaccination.
Using
actual
epidemiological
data
Korea,
estimated
infection
probability
each
age
group
under
different
levels
social
distancing
Korea
investigated
confirmed
cases
fatalities
COVID-19.
We
found
that,
lower
level
distancing,
groups
with
highest
rates
mostly,
but,
higher
prioritizing
elderly
reduces
more
effectively.
To
mortalities,
best
all
scenarios
distancing.
Furthermore,
effect
efficacy
on
reduction
mortality.
The
seasonality
of
COVID-19
is
important
for
effective
healthcare
and
public
health
decision-making.
Previous
waves
SARS-CoV-2
infections
have
indicated
that
the
virus
will
likely
persist
as
an
endemic
pathogen
with
distinct
surges.
However,
timing
patterns
potentially
seasonal
surges
remain
uncertain,
rendering
policies
uninformed
in
danger
poorly
anticipating
opportunities
intervention,
such
well-timed
booster
vaccination
drives.
Applying
evolutionary
approach
to
long-term
data
on
closely
related
circulating
coronaviruses,
our
research
provides
projections
should
be
expected
at
major
temperate
population
centers.
These
enable
local
efforts
are
tailored
specific
locales
or
regions.
This
knowledge
crucial
enhancing
medical
preparedness
facilitating
implementation
targeted
interventions.