Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz,
Journal Year:
2021,
Volume and Issue:
64(9), P. 1058 - 1066
Published: July 30, 2021
After
the
global
outbreak
of
COVID-19
pandemic,
an
infection
dynamic
immense
extent
developed.
Since
then,
numerous
measures
have
been
taken
to
bring
under
control.
This
was
very
successful
in
spring
2020,
while
number
infections
rose
sharply
following
autumn.
To
predict
occurrence
infections,
epidemiological
models
are
used.
These
principle
a
valuable
tool
pandemic
management.
However,
they
still
partly
need
be
based
on
assumptions
regarding
transmission
routes
and
possible
drivers
dynamics.
Despite
individual
approaches,
systematic
data
lacking
with
which,
for
example,
effectiveness
could
quantified.
Such
information
generated
studies
is
needed
enable
reliable
predictions
further
course
pandemic.
Thereby,
complexity
develop
hand
available
data.
In
this
article,
after
delineating
two
basic
classes
models,
contribution
assessment
various
central
aspects
such
as
reproduction
rate,
unreported
cases,
fatality
consideration
regionality,
shown.
Subsequently,
use
quantify
impact
effects
"test-trace-isolate"
strategy
described.
concluding
discussion,
limitations
modelling
approaches
juxtaposed
their
advantages.
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: Jan. 15, 2021
Without
a
cure,
vaccine,
or
proven
long-term
immunity
against
SARS-CoV-2,
test-trace-and-isolate
(TTI)
strategies
present
promising
tool
to
contain
its
spread.
For
any
TTI
strategy,
however,
mitigation
is
challenged
by
pre-
and
asymptomatic
transmission,
TTI-avoiders,
undetected
spreaders,
who
strongly
contribute
hidden
infection
chains.
Here,
we
studied
semi-analytical
model
identified
two
tipping
points
between
controlled
uncontrolled
spread:
(1)
the
behavior-driven
reproduction
number
of
chains
becomes
too
large
be
compensated
capabilities,
(2)
new
infections
exceeds
tracing
capacity.
Both
trigger
self-accelerating
We
investigated
how
these
depend
on
challenges
like
limited
cooperation,
missing
contacts,
imperfect
isolation.
Our
results
suggest
that
alone
insufficient
an
otherwise
unhindered
spread
implying
complementary
measures
social
distancing
improved
hygiene
remain
necessary.
PLoS Computational Biology,
Journal Year:
2021,
Volume and Issue:
17(9), P. e1009288 - e1009288
Published: Sept. 2, 2021
Mass
vaccination
offers
a
promising
exit
strategy
for
the
COVID-19
pandemic.
However,
as
progresses,
demands
to
lift
restrictions
increase,
despite
most
of
population
remaining
susceptible.
Using
our
age-stratified
SEIRD-ICU
compartmental
model
and
curated
epidemiological
data,
we
quantified
rate
(relative
progress)
at
which
countries
can
non-pharmaceutical
interventions
without
overwhelming
their
healthcare
systems.
We
analyzed
scenarios
ranging
from
immediately
lifting
(accepting
high
mortality
morbidity)
reducing
case
numbers
level
where
test-trace-and-isolate
(TTI)
programs
efficiently
compensate
local
spreading
events.
In
general,
age-dependent
roll-out
implies
transient
decrease
more
than
ten
years
in
average
age
ICU
patients
deceased.
The
pace
determines
speed
restrictions;
Taking
European
Union
(EU)
an
example
case,
all
considered
allow
steadily
increasing
contacts
starting
May
2021
relaxing
by
autumn
2021.
Throughout
summer
2021,
only
mild
contact
will
remain
necessary.
vaccine
uptake
prevent
further
severe
waves.
Across
EU
countries,
seroprevalence
impacts
long-term
success
campaigns
strongly
demographics.
addition,
highlight
need
preventive
measures
reduce
contagion
school
settings
throughout
year
children
might
be
drivers
because
them
Strategies
that
maintain
low
numbers,
instead
ones,
infections
deaths
factors
eleven
five,
respectively.
policies
with
significantly
benefit
vaccination,
overall
reduction
susceptibility
diminish
viral
spread.
Keeping
is
safest
it
considerably
reduces
morbidity
better
preparedness
against
emerging
escape
or
contagious
virus
variants
while
still
allowing
higher
(freedom)
progressing
vaccinations.
Briefings in Bioinformatics,
Journal Year:
2022,
Volume and Issue:
23(4)
Published: June 12, 2022
Abstract
Motivation
The
control
of
the
diffusion
diseases
is
a
critical
subject
broad
research
area,
which
involves
both
clinical
and
political
aspects.
It
makes
wide
use
computational
tools,
such
as
ordinary
differential
equations,
stochastic
simulation
frameworks
graph
theory,
interaction
data,
from
molecular
to
social
granularity
levels,
model
ways
arise
spread.
coronavirus
disease
2019
(COVID-19)
perfect
testbench
example
show
how
these
models
may
help
avoid
severe
lockdown
by
suggesting,
for
instance,
best
strategies
vaccine
prioritization.
Results
Here,
we
focus
on
discuss
some
graph-based
epidemiological
their
significantly
improve
spreading
control.
We
offer
examples
related
recent
COVID-19
pandemic
generalize
them
other
diseases.
Frontiers in Physics,
Journal Year:
2022,
Volume and Issue:
10
Published: Feb. 15, 2022
Pharmaceutical
and
non-pharmaceutical
interventions
(NPIs)
have
been
crucial
for
controlling
COVID-19.
They
are
complemented
by
voluntary
health-protective
behavior,
building
a
complex
interplay
between
risk
perception,
disease
spread.
We
studied
how
behavior
vaccination
willingness
impact
the
long-term
dynamics.
analyzed
different
levels
of
mandatory
NPIs
determine
individuals
use
their
leeway
actions.
If
too
weak,
COVID-19
incidence
will
surge,
implying
high
morbidity
mortality
before
react;
if
they
strong,
one
expects
rebound
wave
once
restrictions
lifted,
challenging
transition
to
endemicity.
Conversely,
moderate
give
time
room
adapt
level
caution,
mitigating
spread
effectively.
When
with
rates,
this
also
offers
robust
way
limit
impacts
Omicron
variant
concern.
Altogether,
our
work
highlights
importance
appropriate
maximise
individual
actions
in
pandemic
control.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Aug. 29, 2023
Abstract
Targeted
public
health
interventions
for
an
emerging
epidemic
are
essential
preventing
pandemics.
During
2020-2022,
China
invested
significant
efforts
in
strict
zero-COVID
measures
to
contain
outbreaks
of
varying
scales
caused
by
different
SARS-CoV-2
variants.
Based
on
a
multi-year
empirical
dataset
containing
131
observed
from
April
2020
May
2022
and
simulated
scenarios,
we
ranked
the
relative
intervention
effectiveness
their
reduction
instantaneous
reproduction
number.
We
found
that,
overall,
social
distancing
(38%
reduction,
95%
prediction
interval
31-45%),
face
masks
(30%,
17-42%)
close
contact
tracing
(28%,
24-31%)
were
most
effective.
Contact
was
crucial
during
initial
phases,
while
became
increasingly
prominent
as
spread
persisted.
In
addition,
infections
with
higher
transmissibility
shorter
latent
period
posed
more
challenges
these
measures.
Our
findings
provide
quantitative
evidence
effects
public-health
zeroing
out
contagions
contexts.
The Lancet Global Health,
Journal Year:
2021,
Volume and Issue:
10(1), P. e142 - e147
Published: Nov. 3, 2021
SummaryThere
is
increasing
evidence
that
elimination
strategies
have
resulted
in
better
outcomes
for
public
health,
the
economy,
and
civil
liberties
than
mitigation
throughout
first
year
of
COVID-19
pandemic.
With
vaccines
offer
high
protection
against
severe
forms
COVID-19,
vaccination
coverage,
policy
makers
had
to
reassess
trade-offs
between
different
options.
The
desirability
feasibility
eliminating
SARS-CoV-2
compared
with
other
should
also
be
re-evaluated
from
perspective
fields,
including
epidemiology,
economics.
To
end
pandemic
as
soon
possible—be
it
through
or
reaching
an
acceptable
endemic
level—several
key
topics
emerged
centring
around
coordination,
both
locally
internationally,
vaccine
distribution.
Without
coordination
difficult
if
not
impossible
sustain
elimination,
which
particularly
relevant
highly
connected
regions,
such
Europe.
Regarding
vaccination,
concerns
remain
respect
equitable
distribution,
risk
emergence
new
variants
concern.
Looking
forward,
crucial
overcome
dichotomy
mitigation,
jointly
define
a
long-term
objective
can
accommodate
political
societal
realities.
Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: Jan. 18, 2023
Abstract
Large-scale
events
like
the
UEFA
Euro
2020
football
(soccer)
championship
offer
a
unique
opportunity
to
quantify
impact
of
gatherings
on
spread
COVID-19,
as
number
and
dates
matches
played
by
participating
countries
resembles
randomized
study.
Using
Bayesian
modeling
gender
imbalance
in
COVID-19
data,
we
attribute
840,000
(95%
CI:
[0.39M,
1.26M])
cases
across
12
championship.
The
depends
non-linearly
initial
incidence,
reproduction
R
,
played.
strongest
effects
are
seen
Scotland
England,
where
much
10,000
primary
per
million
inhabitants
occur
from
championship-related
gatherings.
average
match-induced
increase
was
0.46
[0.18,
0.75]
match
days,
but
important
caused
an
large
+3.
Altogether,
our
results
provide
quantitative
insights
that
help
judge
mitigate
large-scale
pandemic
spread.
BMC Medical Informatics and Decision Making,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Feb. 19, 2025
This
study
aims
at
exploring
a
general
and
adaptive
control
strategy
to
confront
the
rapid
evolution
of
an
emerging
infectious
disease
('Disease
X'),
drawing
lessons
from
management
COVID-19
in
China.
We
employ
dynamic
model
incorporating
age
structures
vaccination
statuses,
which
is
calibrated
using
epidemic
data.
therefore
estimate
cumulative
infection
rate
(CIR)
during
first
wave
Omicron
variant
after
China
relaxed
its
zero-COVID
policy
be
82.9%
(95%
CI:
82.3%,
83.5%),
with
case
fatality
(CFR)
0.25%
0.248%,
0.253%).
further
show
that
if
had
been
eased
January
2022,
CIR
CFR
would
have
decreased
81.64%
0.205%,
respectively,
due
higher
level
immunity
vaccination.
However,
we
ease
circulation
Delta
June
2021,
decrease
74.06%
while
significantly
increase
1.065%.
Therefore,
face
'Disease
X',
strategies
should
guided
by
multiple
factors,
'zero-COVID-like'
could
feasible
effective
way
for
relative
low
transmissibility.
as
virus
matures
into
new
much
transmissibility,
particularly
when
population
high
immunity.
PLoS ONE,
Journal Year:
2021,
Volume and Issue:
16(2), P. e0247445 - e0247445
Published: Feb. 19, 2021
In
the
framework
of
homogeneous
susceptible-infected-recovered
(SIR)
models,
we
use
a
control
theory
approach
to
identify
optimal
pandemic
mitigation
strategies.
We
derive
rather
general
conditions
for
reaching
herd
immunity
while
minimizing
costs
incurred
by
introduction
societal
measures
(such
as
closing
schools,
social
distancing,
lockdowns,
etc.),
under
constraint
that
infected
fraction
population
does
never
exceed
certain
maximum
corresponding
public
health
system
capacity.
Optimality
is
derived
and
verified
variational
numerical
methods
number
model
cost
functions.
The
effects
immune
response
decay
after
recovery
are
taken
into
account
discussed
in
terms
feasibility
strategies
based
on
immunity.