Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics
Communications in Nonlinear Science and Numerical Simulation,
Год журнала:
2024,
Номер
132, С. 107906 - 107906
Опубликована: Фев. 13, 2024
Язык: Английский
Predicting the transmission dynamics of novel coronavirus infection in Shanxi province after the implementation of the “Class B infectious disease Class B management” policy
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Дек. 22, 2023
China
managed
coronavirus
disease
2019
(COVID-19)
with
measures
against
Class
B
infectious
diseases,
instead
of
A
in
a
major
shift
its
epidemic
response
policies.
We
aimed
to
generate
robust
information
on
the
transmission
dynamics
novel
infection
Shanxi,
province
located
northern
China,
after
implementation
"Class
management"
policy.
consolidated
data
Shanxi
from
December
6,
2022
January
14,
2023
through
network
questionnaire
survey
and
sentinel
surveillance.
model
SEIQHCVR
was
developed
track
curves
effective
reproduction
number
(Rt).
Our
estimating
trends
infection,
coefficient
determination
(R2)
above
90%
infections,
inpatients,
critically
ill
patients.
The
infections
as
well
urban
rural
areas
peaked
20,
2022,
peak
inpatients
patients
occurring
2
3
weeks
infections.
By
end
2023,
87.72%
residents
were
predicted
be
infected,
outbreak
subsequently
subsided.
small
wave
COVID-19
may
re-emerge
at
April.
In
less
than
month,
Rt
values
positive
all
below
1.0.
is
currently
low
prevalence
level.
face
possible
future
waves
there
strong
need
strengthen
surveillance
early
warning.
Язык: Английский
Epidemiological and clinical characteristics of COVID-19 reinfection during the epidemic period in Yangzhou city, Jiangsu province
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Сен. 13, 2023
With
the
continuous
progress
of
epidemic
coronavirus
disease
2019
(COVID-19)
infection
and
constant
mutation
virus
strain,
reinfection
occurred
in
previously
infected
individuals
caused
waves
many
countries.
Therefore,
we
aimed
to
explore
characteristics
COVID-19
during
period
Yangzhou
provide
a
scientific
basis
for
assessing
situation
optimizing
allocation
medical
resources.We
chose
severe
acute
respiratory
syndrome
2
(SARS-CoV-2)
reported
locally
city
from
January
2020
November
30,
2022.
A
telephone
follow-up
cases
was
conducted
February
March
2023
collect
information.
We
face-to-face
survey
on
that
who
met
definition
information
clinical
symptoms,
vaccination
status
COVID-19,
so
on.
Data
were
analyzed
using
SPSS
19.0.Among
999
eligible
respondents
(92.24%
all
participants),
consisting
42.28%
males
57.72%
females,
incidence
females
significantly
higher
than
male
(χ2
=
5.197,
P
<
0.05);
ages
ranged
1
91
years,
with
mean
age
42.28
(standard
deviation
22.73)
years;
most
sufferers
initially
Delta
variant
(56.88%),
followed
by
Omicron
subvariants
BA.1/BA.2
(39.52%).
Among
respondents,
126
(12.61%)
appearing
period,
intervals
between
infections
73
1,082
days.
The
earlier
initial
occurred,
increased
when
interval
beyond
year
(P
0.01)
.119
(94.4%)
symptomatic
common
symptoms
included
fever
(65.54%)
cough
(61.34%);
compared
cases,
proportion
reinfected
0.01).
groups
different
doses
statistically
significant
Fewer
reinfections
observed
among
three
two
14.595,
0.001)
or
without
=4.263,
0.039).After
varied
types
SARS-CoV-2
strains.
influenced
various
factors
such
as
characteristics,
vaccination,
prevention
policies,
individual
variations.
As
continues
mutate,
appropriate
personal
protection
have
practical
significance
reducing
risk
reinfection.
Язык: Английский
Assessing the impact of vaccination and medical resource allocation on infectious disease outbreak management: a case study of COVID-19 in Taiyuan City
Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Авг. 9, 2024
Introduction
Amidst
an
emerging
infectious
disease
outbreak,
the
rational
allocation
of
vaccines
and
medical
resources
is
crucial
for
controlling
epidemic’s
progression.
Method
Analysing
COVID-19
data
in
Taiyuan
City
from
December
2022
to
January
2023,
this
study
constructed
a
SV1V2V3EIQHR
dynamics
model
assess
impact
vaccination
resource
on
epidemic
trends.
Results
Vaccination
significantly
reduces
infection
rates,
hospitalisations,
severe
cases,
while
also
curtailing
strain
by
reducing
congestion
periods.
An
early
sufficient
reserve
can
delay
onset
congestion,
with
increased
maximum
capacity
resources,
congestion’s
end
be
accelerated.
Stronger
capabilities
lead
earlier
resolution
within
fixed
total
pool.
Discussion
Integrating
effectively
reduce
duration
alleviate
(CCMR).
Язык: Английский
Epidemiological and laboratory characteristics of Omicron infection in a general hospital in Guangzhou: a retrospective study
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Ноя. 29, 2023
The
COVID-19
pandemic
caused
by
SARS-CoV-2
has
emerged
as
a
major
global
public
health
concern.
In
November
2022,
Guangzhou
experienced
significant
outbreak
of
Omicron.
This
study
presents
detailed
epidemiological
and
laboratory
data
on
Omicron
infection
in
general
hospital
between
December
1,
January
31,
2023.
Out
the
55,296
individuals
tested,
12,346
were
found
to
be
positive
for
highest
prevalence
cases
was
observed
20
39
age
group
(24.6%),
while
lowest
children
aged
0
9
years
(1.42%).
Females
had
higher
incidence
than
males,
accounting
56.6%
cases.
peak
time
varied
across
different
populations.
viral
load
older
adults
infected
with
Omicron,
indicating
age-related
differences.
Spearman’s
rank
correlation
analysis
revealed
correlations
Ct
values
parameters
hospitalized
patients
infection.
These
included
CRP
(
r
s
=
0.059,
p
0.009),
PT
0.057,
INR
0.055,
0.013),
AST
0.067,
0.002),
LDH
0.078,
0.001),
BNP
0.063,
0.014).
However,
EO
(Eosinophil,
−0.118,
<
BASO
(basophil,
−0.093,
LY
(lymphocyte,
−0.069,
0.001)
counts
showed
negative
values.
Although
statistically
significant,
coefficients
these
indices
very
low.
findings
provide
valuable
insights
into
epidemiology
infection,
including
variations
gender
groups.
caution
should
exercised
when
utilizing
clinical
settings
evaluating
Язык: Английский