Understanding the role of energy sector in the outbreak of epidemic in China: An analysis based on SEIDR epidemic model, dynamic input-output model and resource allocation DEA model
Lijuan Zhou,
No information about this author
Ruchuan Zhang,
No information about this author
Aizhen Zhang
No information about this author
et al.
Energy,
Journal Year:
2024,
Volume and Issue:
305, P. 132137 - 132137
Published: June 21, 2024
Language: Английский
Effects of COVID-19-targeted non-pharmaceutical interventions on pediatric hospital admissions in North Italian hospitals, 2017 to 2022: a quasi-experimental study interrupted time-series analysis
Frontiers in Public Health,
Journal Year:
2024,
Volume and Issue:
12
Published: April 18, 2024
The
use
of
Non-Pharmaceutical
Interventions
(NPIs),
such
as
lockdowns,
social
distancing
and
school
closures,
against
the
COVID-19
epidemic
is
debated,
particularly
for
possible
negative
effects
on
vulnerable
populations,
including
children
adolescents.
This
study
therefore
aimed
to
quantify
impact
NPIs
trend
pediatric
hospitalizations
during
2
years
pandemic
compared
previous
3
years,
also
considering
two
phases
according
type
adopted
NPIs.
Language: Английский
Evaluating the direct effect of vaccination and non-pharmaceutical interventions during the COVID-19 pandemic in Europe
Communications Medicine,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: Sept. 11, 2024
Language: Английский
Predictions from standard epidemiological models of consequences of segregating and isolating vulnerable people into care facilities
PLoS ONE,
Journal Year:
2023,
Volume and Issue:
18(10), P. e0293556 - e0293556
Published: Oct. 30, 2023
Objectives
Since
the
declaration
of
COVID-19
pandemic,
many
governments
have
imposed
policies
to
reduce
contacts
between
people
who
are
presumed
be
particularly
vulnerable
dying
from
respiratory
illnesses
and
rest
population.
These
typically
address
individuals
concentrated
in
centralized
care
facilities
entail
limiting
social
with
visitors,
staff
members,
other
home
residents.
We
use
a
standard
epidemiological
model
investigate
impact
such
circumstances
on
predicted
infectious
disease
attack
rates,
for
interacting
robust
populations.
Methods
implement
general
susceptible-infectious-recovered
(SIR)
compartmental
two
populations:
vulnerable.
The
key
parameters
per-individual
frequencies
within-group
(robust-robust
vulnerable-vulnerable)
between-group
(robust-vulnerable
vulnerable-robust)
infectious-susceptible
recovery
times
groups,
which
can
significantly
longer
people.
Results
Across
large
range
possible
including
degrees
segregation
versus
intermingling
individuals,
we
find
that
concentrating
most
into
virtually
always
increases
rate
group,
without
significant
benefit
group.
Conclusions
Isolated
homes
residents
worst
mixing
reducing
harm
epidemic
or
pandemic
conditions.
Language: Английский
Bridging Compartmental Models and Network Analysis in Epidemiological Modelling
Published: Feb. 27, 2024
In
this
study,
the
authors
undertake
a
comparative
analysis
of
compartmental
models
and
network
as
means
simulating
propagation
infectious
diseases.
Compartmental
operate
under
assumption
homogeneous
mixing,
which
is
often
flawed
individuals
tend
to
engage
in
varied
contact
patterns
based
on
their
surrounding
environments.
On
other
hand,
social
accounts
for
intricate
web
interpersonal
connections
between
individuals,
thereby
offering
more
realistic
portrayal
behaviour.
However,
can
be
computationally
demanding,
rendering
its
application
real-time
epidemic
modelling
challenging.
By
conducting
series
simulations
utilising
SIR
model
analysis,
accentuate
merits
hybrid
approach
that
integrates
strengths
both
while
mitigating
respective
limitations.
Additionally,
suggest
plausible
avenues
future
research.
Language: Английский
Wastewater-Based Surveillance Reveals the Effectiveness of the First COVID-19 Vaccination Campaigns in Assisted Living Facilities
Katherine I. Brenner,
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Bryan L. Walser,
No information about this author
Joseph Cooper
No information about this author
et al.
International Journal of Environmental Research and Public Health,
Journal Year:
2024,
Volume and Issue:
21(9), P. 1259 - 1259
Published: Sept. 23, 2024
The
COVID-19
pandemic
has
disproportionately
affected
vulnerable
populations,
including
residents
of
assisted
living
facilities
(ALFs).
This
study
investigates
the
impact
non-pharmaceutical
interventions
(NPIs)
and
mass
vaccination
campaigns
on
SARS-CoV-2
transmission
dynamics
within
four
ALFs
in
Maricopa
County,
Arizona,
United
States
from
January
to
April
2021.
Initial
observations
reveal
a
significant
prevalence
with
7452
new
cases
reported
4
Wastewater
surveillance
indicates
elevated
viral
loads
peak
concentrations
reaching
1.35
×
10
Language: Английский