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.
BMC Infectious Diseases,
Journal Year:
2023,
Volume and Issue:
23(1)
Published: May 16, 2023
Abstract
Background
The
continuous
emergence
of
novel
SARS-CoV-2
variants
with
markedly
increased
transmissibility
presents
major
challenges
to
the
zero-COVID
policy
in
China.
It
is
critical
adjust
aspects
about
non-pharmaceutical
interventions
(NPIs)
by
searching
for
and
implementing
more
effective
ways.
We
use
a
mathematical
model
mimic
epidemic
pattern
Omicron
variant
Shanghai
quantitatively
show
control
investigate
feasibility
different
patterns
avoiding
other
waves.
Methods
initially
construct
dynamic
core
step-by-step
release
strategy
reveal
its
role
controlling
spread
COVID-19,
including
city-based
district-based
pattern.
used
least
squares
method
real
reported
case
data
fit
16
districts,
respectively.
Optimal
theory
was
utilized
explore
quantitative
optimal
solutions
time-varying
strength
(i.e.,
contact
rate)
suppress
highly
transmissible
variants.
Results
necessary
period
reaching
goal
can
be
nearly
4
months,
final
size
629,625
(95%CI:
[608,049,
651,201]).
By
adopting
pattern,
7
out
strategies
released
NPIs
or
earlier
than
baseline
ensured
zero-resurgence
risk
at
average
cost
10
129
cases
June.
regional
linked
allow
resumption
social
activity
~
100%
boundary-region
group
14
days
people
flow
between
districts
without
causing
infection
resurgence.
rate
were
obtained
various
testing
intensities,
higher
diagnosis
correlated
while
number
daily
remained
almost
unchanged.
Conclusions
could
have
been
bolder
flexible
unleashing
they
did.
should
relaxed
attention
paid
centre-region
group.
With
intensive
strategy,
return
normal
life
as
much
possible
but
still
ensure
maintained
relatively
low
level.
The Lancet Regional Health - Europe,
Journal Year:
2021,
Volume and Issue:
12, P. 100277 - 100277
Published: Dec. 1, 2021
The
COVID-19
pandemic
changed
nearly
every
aspect
of
our
lives.
rapid
spread
the
disease
exposed
several
layers
inequality
that
it
has
exploited
to
propagate
preferentially.
We
find
these
in
different
contexts
and
levels,
such
as
impossibility
self-isolate
do
remote
work
(at
individual
level)
or
economic
constraints
deploy
a
fast
vaccination
program
country
level).
In
context
programmes,
resources
must
be
optimised
alleviate
burden
where
is
needed
most.
Lancet
Regional
Health
Europe,
Yang
Liu
coauthors
analyse
health
impact
age-stratified
vaccine
prioritisation
programs
38
countries
World
Organization
(WHO)
European
Region
provide
modelling
framework
optimise
country-specific
allocation.1Liu
Y
Sandmann
FG
Barnard
RC
Pearson
CA
Pastore
R
Pebody
Flasche
S
Jit
M
LSHTM
CMMID
Working
Group.
Optimising
impacts
strategies
WHO
Region:
mathematical
study.Lancet
–
Europe.
2021;
https://doi.org/10.1016/j.lanepe.2021.100267Summary
Full
Text
PDF
PubMed
Scopus
(21)
Google
Scholar
From
early
2021
on,
vaccines
have
helped
pandemic's
on
society
by
mitigating
contagion,
protecting
population
against
severe
disease,
allowing
for
less
restrictive
measures,
especially
with
high
uptake
availability.2Contreras
Dehning
J
Mohr
SB
Bauer
Spitzner
FP
Priesemann
V
Low
case
numbers
enable
long-term
stable
control
without
lockdowns.Science
Advances.
Oct
8;
7
(eabg2243)Crossref
(20)
Scholar,3Bauer
Contreras
Linden
Iftekhar
E
Olivera-Nappa
A
V.
Relaxing
restrictions
at
pace
increases
freedom
guards
further
waves.PLoS
Computational
Biology.
Sep
2;
17e1009288Crossref
(33)
Scholar,4Viana
van
Dorp
CH
Nunes
Gomes
MC
Boven
Kretzschmar
ME
Veldhoen
Rozhnova
G.
Controlling
during
SARS-CoV-2
rollout.Nature
Communications.
Jun
16;
12:
1-5Crossref
(82)
Due
strong
dependency
between
age
severity,
was
logical
first
approach
allocating
resources.
However,
there
are
dimensions
consider
when
optimising
allocation
given
country.
Among
them,
those
considered
colleagues:
mortality,
morbidity,
comorbidity-adjusted
life
expectancy
loss,
comorbidity-and-quality-adjusted
life-years
human
capital
loss.
Implicitly,
talking
about
forces
us
assign
lives
(and
quality)
fixed
value
favourite
currency.
Thus,
governments
faced
highly
nontrivial
problem,
best
solution
their
societies
not
straightforward
homogeneous
across
countries.
Liu's
allowed
policy-
decision-makers
timely
evaluate
alternatives
protect
interests
nations,
considering
all
indexes
mentioned
above
simultaneously.
Noteworthily,
been
available
online
already
since
July
2020.
During
rollout,
some
non-pharmaceutical
interventions
(NPIs)
were
required
mitigate
COVID-19,
negative
productive
sectors
tourism.
Notably,
mostly
driven
young
working-class
who,
despite
being
unprotected
beginning
largely
expected
keep
economies
going.
colleagues
showed
deployed
effectively
(i.e.,
vaccinating
80%
eligible
within
one
year),
prioritising
younger
adults
can
equally
beneficial
elder
risk
groups
also
protected
reducing
contagion
groups.
Therefore,
wealthier
excess
reactivate
faster
if
following
this
alternative.
Conversely,
low
availability
cannot
vaccinate
drivers
thus
face
double
problem.
First,
they
de
facto
risk,
second,
fully
restart
activities
would
require
NPIs
immunity
levels
population.
differences
will
make
antipodes
drift
apart.
Since
mid-2021,
does
pose
problem
high-income
Instead,
challenge
vaccine-hesitant
vaccine-denial
individuals
completion
programmes.
Often,
lack
willing
receive
moment
caused
expiration
discard
doses.5Feinmann
J.
How
world
(not)
handling
surplus
doses
expiring
vaccines.BMJ.
Aug
25;
374Google
crucial
understand
hesitancy6Contreras
S,
Dönges
P,
Wagner
J,
SB,
EN,
M,
Maes
Nagel
K,
Valdez
AC.
winter
dilemma.
arXiv
preprint
arXiv:2110.01554.
4.Google
Scholar,7Wirtz
K.
Changing
readiness
steered
epidemic
social
trajectories.Scientific
Reports.
Jul
6;
11
(-1):
1Crossref
(3)
implement
initiatives
re-selling
donating
needed.
highlights
need
coordinated
responsible
distribution
vaccines:
increased
supplies
come
expense
others.1Liu
study
provides
explicit
guidance
optimal
raises
awareness
regions
sharing
them
before
risking
expiring.
identifies
strategy
resource
we
stop
acting
thinking
could
managed
locally.8Priesemann
Balling
Beutels
P
AC
Cuschieri
Czypionka
T
Dumpis
U
Glaab
Grill
Hotulainen
P.
Towards
address
pandemic.The
Lancet.
4;
398:
838-839Summary
(35)
International
inequity
matter
general
concern.9Reddy
KS.
Boosters
appear
effective,
but
always
needed?.The
29;
Summary
Moreover,
even
interested
principle
only
wellbeing
helping
other
favoured
might
advantages
combating
e.g.
preventing
importing
infections
opening
borders,
minimising
loss
At
times,
generous
way
one's
own
interests.10Burioni
Topol
EJ.
Has
reached
peak
fitness?.Nature
Medicine.
27:
1323-1324Crossref
(13)
All
authors
declare
no
competing
interests.
contributed
conceptualization,
writing,
editing
comment.
studyThe
age-based
sensitive
characteristics,
decision-making
metrics,
roll-out
speeds.
involving
more
stages
(V75)
necessarily
lead
better
outcomes
than
targeting
broad
(V60).
Countries
expecting
slow
may
particularly
benefit
from
older
adults.
Full-Text
Open
Access
PLOS Global Public Health,
Journal Year:
2022,
Volume and Issue:
2(6), P. e0000499 - e0000499
Published: June 14, 2022
Using
three
age-structured,
stochastic
SIRM
models,
calibrated
to
Australian
data
post
July
2021
with
community
transmission
of
the
Delta
variant,
we
projected
possible
public
health
outcomes
(daily
cases,
hospitalisations,
ICU
beds,
ventilators
and
fatalities)
economy
costs
for
states:
New
South
Wales
(NSW),
Victoria
(VIC)
Western
Australia
(WA).
NSW
VIC
have
had
on-going
from
were
in
'lockdown'
suppress
transmission.
WA
did
not
nor
was
it
lockdown
at
model
start
date
(October
11th
2021)
but
maintain
strict
state
border
controls.
We
economic
'opening
up'
(relaxation
lockdowns
or
fully
opening
WA)
alternative
vaccination
rates
(70%,
80%
90%),
compared
peak
patient
demand
beds
staffed
state-level
bed
capacity,
calculated
a
'preferred'
rate
that
minimizes
societal
varies
by
state.
found
preferred
all
states
is
least
population
increasing
with:
(1)
effectiveness
(infection,
hospitalization
fatality)
vaccine;
(2)
lower
daily
cost;
(3)
larger
are
COVID-19;
(4)
higher
before
up;
(5)
less
effective
measures
after
up.
The Economic Journal,
Journal Year:
2023,
Volume and Issue:
133(654), P. 2483 - 2503
Published: March 22, 2023
Abstract
This
paper
studies
the
suppression
of
an
infectious
disease
in
canonical
susceptible-infectious-recovered
model.
It
derives
three
results.
First,
if
technically
feasible,
optimal
response
to
a
sufficiently
small
outbreak
is
halting
transmissions
instead
building
up
immunity
through
infections.
Second,
crucial
trade-off
not
between
health
and
economic
costs,
but
intensity
duration
control
measures.
A
simple
formula
observables
characterises
optimum.
Third,
total
cost
depends
critically
on
efficiency
contact
tracing,
since
it
allows
relaxing
costly
social
distancing
without
increasing
transmissions.
calibration
COVID-19
pandemic
illustrates
theoretical
findings.
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.