Journal of Environmental Psychology,
Journal Year:
2023,
Volume and Issue:
93, P. 102188 - 102188
Published: Nov. 19, 2023
Transilience,
the
perceived
capacity
to
persist,
adapt
flexibly,
and
positively
transform
in
face
of
an
adversity,
is
a
promising
construct
for
understanding
human
adaptation
climate
change
risks.
However,
question
remains
whether
transilience
also
relevant
other
adversities.
In
this
paper,
we
investigate
role
context
COVID-19
pandemic,
which
posed
more
urgent
acute
threat
individuals
compared
change.
We
conducted
two
studies
Italy
Netherlands
examine
people
perceive
across
different
time
points
countries,
severity
pandemic
government
measures
varied.
Furthermore,
studied
relationship
between
adaptive
responses,
including
individual
collective
behaviors,
cognitive
coping,
well-being,
positive
personal
The
results
suggest
that
COVID-19,
higher
promotes
responses
mental
health
Netherlands,
but
not
Italy.
Moreover,
longitudinal
analyses
indicate
may
be
causally
related
future
behaviors
well-being.
These
findings
robust
predictor
well-being
adversities,
although
depend
on
specific
context.
Future
research
directions
theoretical
implications
are
discussed.
Clinical Microbiology Reviews,
Journal Year:
2024,
Volume and Issue:
37(2)
Published: May 22, 2024
SUMMARYThis
narrative
review
and
meta-analysis
summarizes
a
broad
evidence
base
on
the
benefits-and
also
practicalities,
disbenefits,
harms
personal,
sociocultural
environmental
impacts-of
masks
masking.
Our
synthesis
of
from
over
100
published
reviews
selected
primary
studies,
including
re-analyzing
contested
meta-analyses
key
clinical
trials,
produced
seven
findings.
First,
there
is
strong
consistent
for
airborne
transmission
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
other
pathogens.
Second,
are,
if
correctly
consistently
worn,
effective
in
reducing
diseases
show
dose-response
effect.
Third,
respirators
are
significantly
more
than
medical
or
cloth
masks.
Fourth,
mask
mandates
overall,
community
Fifth,
important
symbols;
non-adherence
to
masking
sometimes
linked
political
ideological
beliefs
widely
circulated
mis-
disinformation.
Sixth,
while
much
that
not
generally
harmful
general
population,
may
be
relatively
contraindicated
individuals
with
certain
conditions,
who
require
exemption.
Furthermore,
groups
(notably
D/deaf
people)
disadvantaged
when
others
masked.
Finally,
risks
environment
single-use
respirators.
We
propose
an
agenda
future
research,
improved
characterization
situations
which
should
recommended
mandated;
attention
comfort
acceptability;
generalized
disability-focused
communication
support
settings
where
worn;
development
testing
novel
materials
designs
filtration,
breathability,
impact.
Epidemics,
Journal Year:
2022,
Volume and Issue:
38, P. 100547 - 100547
Published: Feb. 10, 2022
The
estimation
of
parameters
and
model
structure
for
informing
infectious
disease
response
has
become
a
focal
point
the
recent
pandemic.
However,
it
also
highlighted
plethora
challenges
remaining
in
fast
robust
extraction
information
using
data
models
to
help
inform
policy.
In
this
paper,
we
identify
discuss
four
broad
paradigm
relating
modelling,
namely
Uncertainty
Quantification
framework,
estimation,
model-based
inference
prediction,
expert
judgement.
We
postulate
priorities
methodology
facilitate
preparation
future
pandemics.
Epidemics,
Journal Year:
2022,
Volume and Issue:
40, P. 100612 - 100612
Published: July 20, 2022
The
use
of
data
has
been
essential
throughout
the
unfolding
COVID-19
pandemic.
We
have
needed
it
to
populate
our
models,
inform
understanding,
and
shape
responses
disease.
However,
not
always
easy
find
access,
varied
in
quality
coverage,
difficult
reuse
or
repurpose.
This
paper
reviews
these
other
challenges
recommends
steps
develop
a
ecosystem
better
able
deal
with
future
pandemics
by
supporting
preparedness,
prevention,
detection
response.
Physics of Life Reviews,
Journal Year:
2024,
Volume and Issue:
50, P. 166 - 208
Published: Aug. 8, 2024
In
this
review,
we
successively
present
the
methods
for
phenomenological
modeling
of
evolution
reported
and
unreported
cases
COVID-19,
both
in
exponential
phase
growth
then
a
complete
epidemic
wave.
After
case
an
isolated
wave,
several
successive
waves
separated
by
endemic
stationary
periods.
Then,
treat
multi-compartmental
models
without
or
with
age
structure.
Eventually,
review
literature,
based
on
260
articles
selected
11
sections,
ranging
from
medical
survey
hospital
to
forecasting
dynamics
new
general
population.
This
favors
approach
over
mechanistic
choice
references
provides
simulations
number
observed
COVID-19
10
states
(California,
China,
France,
India,
Israel,
Japan,
New
York,
Peru,
Spain
United
Kingdom).
Diseases,
Journal Year:
2024,
Volume and Issue:
12(4), P. 73 - 73
Published: April 4, 2024
The
impact
of
outbreak
response
immunization
(ORI)
can
be
estimated
by
comparing
observed
outcomes
to
modelled
counterfactual
scenarios
without
ORI,
but
the
most
appropriate
metrics
depend
on
stakeholder
needs
and
data
availability.
This
study
developed
a
framework
for
using
mathematical
models
assess
ORI
vaccine-preventable
diseases.
Framework
development
involved
(1)
assessment
based
interviews
literature
reviews
determining
availability
capacity
capture
as
model
outcomes;
(2)
mapping
investment
in
elements
parameters
define
scenarios;
(3)
developing
system
engaging
stakeholders
formulating
questions,
performing
analyses,
interpreting
results;
(4)
example
applications
different
settings
pathogens.
identified
useful
were
health
impacts,
economic
risk
severe
outbreaks.
Scenario
categories
included
scale,
speed,
vaccine
targeting.
defines
four
phases:
problem
framing
sourcing
(identification
needs,
metrics,
scenarios);
choice;
implementation;
interpretation
communication.
use
is
demonstrated
application
two
outbreaks,
measles
Papua
New
Guinea
Ebola
Democratic
Republic
Congo.
systematic
way
engage
with
ensure
that
an
analysis
fit
purpose,
makes
best
available
data,
uses
suitable
modelling
methodology.
Human Vaccines & Immunotherapeutics,
Journal Year:
2025,
Volume and Issue:
21(1)
Published: Feb. 19, 2025
Assessing
vaccine
efficacy
(VE)
during
emerging
epidemics
is
challenging
due
to
unpredictable
disease
transmission
dynamics.
We
aimed
investigate
the
impact
of
randomized
controlled
trials
(RCTs)
timing
on
estimates
VE
and
sample
sizes
future
respiratory
diseases.
developed
an
age-structured
susceptible-exposed-infected-asymptomatically
infected-removed
(SEIAR)
compartment
models
using
2022
Korean
population,
COVID-19
2009
A/H1N1
pandemic
influenza
parameters.
Various
RCT
scenarios
were
tested
calculate
estimates,
size
power
by
varying
timings
(using
epidemic
peak
as
base,
±10%,
±20%,
±30%
relative
time
peak)
with
follow-up
durations
(4
weeks
8
12
weeks),
recruitment
2,
8,
non-pharmaceutical
intervention
(NPI)
levels
in
reducing
R0
10%
20%.
Additionally,
assumptions
regarding
baseline
cumulative
incidences
evaluated
for
calculations.
The
results
showed
that
remained
relatively
stable
across
trial
timings;
however,
required
varied
significantly
timing.
Sample
requirements
initially
decreased
after
a
then
increased
steeply
progressed.
Initiating
RCTs
30%
earlier
than
peak,
along
extended
duration,
could
reduce
without
compromising
VE.
NPIs
effectively
feasible
timeframe
RCTs.
based
simulated
case
numbers
placebo
group
slightly
underestimated,
consistently
above
85%.
In
contrast,
calculations
incidence
over
4
pretrial
or
entire
study
duration
lead
overpowered
underpowered
studies.
