Trends of respiratory viruses and factors associated with severe acute respiratory infection in patients presenting at a university hospital: a 6-year retrospective study across the COVID-19 pandemic
Judith Carolina De Arcos-Jiménez,
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Pedro Martínez-Ayala,
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Ernestina Quintero-Salgado
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et al.
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: March 28, 2025
The
COVID-19
pandemic
significantly
disrupted
the
epidemiology
of
respiratory
viruses,
altering
seasonal
patterns
and
reducing
circulation.
While
recovery
trends
have
been
observed,
factors
associated
with
severe
acute
infections
(SARIs)
during
pre-
post-pandemic
periods
remain
underexplored
in
middle-income
countries.
This
study
aimed
to
analyze
virus
circulation
identify
SARI
patients
attending
a
tertiary
care
university
hospital
western
Mexico
over
six-year
period
spanning
pre-pandemic,
pandemic,
phases.
A
retrospective
was
conducted
using
data
from
19,088
symptomatic
tested
for
viruses
between
2018
2024.
Viral
were
analyzed
through
interrupted
time
series
(ITS)
modeling,
incorporating
locally
estimated
scatterplot
smoothing
(LOESS)
raw
positivity
rates.
Additionally,
ITS
analysis
performed
evaluate
temporal
changes
proportions
across
different
phases
pandemic.
Multivariate
logistic
regression
models
applied
determine
independent
risk
periods.
During
(2020-2021),
rates
declined,
particularly
influenza,
which
experienced
sharp
reduction
but
rebounded
post-2022.
Respiratory
syncytial
(RSV)
demonstrated
delayed
resurgence,
whereas
other
exhibited
heterogeneous
rebound
patterns.
modeling
revealed
significant
pre-pandemic
increasing
trend,
followed
by
slower
rise
drop
early
2022,
before
resuming
an
upward
trajectory.
Among
older
adults
(>65
years),
marked
increase
observed
at
beginning
while
younger
groups
showed
more
stable
Logistic
identified
advanced
age,
male
sex,
cardiovascular
disease,
obesity,
immunosuppression
as
major
SARI,
vaccination
consistently
protective
effect
all
subgroups.
induced
persistent
shifts
circulation,
disrupting
dynamics
modifying
burden
SARI.
findings
underscore
importance
continuous
surveillance,
targeted
programs,
diagnostics
mitigate
outcomes.
These
results
highlight
need
adaptive
public
health
strategies
countries
address
evolving
disease
threats.
Language: Английский
The changing landscape of pediatric infectious diseases before, during, and after the COVID-19 pandemic
Child Health Nursing Research,
Journal Year:
2025,
Volume and Issue:
31(2), P. 79 - 84
Published: April 30, 2025
Language: Английский
Prevalence of Co-Infections in Primary Care Patients with Medically Attended Acute Respiratory Infection in the 2022/2023 Season
Maja Sočan,
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Katarina Prosenc,
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Maja Mrzel
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et al.
Viruses,
Journal Year:
2024,
Volume and Issue:
16(8), P. 1289 - 1289
Published: Aug. 13, 2024
In
the
post-pandemic
period,
an
endemic
circulation
of
respiratory
viruses
has
been
re-established.
Respiratory
are
co-circulating
with
SARS-CoV-2.
We
performed
a
retrospective
analysis
co-infections
in
primary
care
patients
medically
attended
acute
infections
(MAARI)
who
consulted
from
week
40/2022
to
39/2023
and
were
tested
for
panel
viruses.
Out
2099
samples
tested,
1260
(60.0%)
positive
one
virus.
340
samples,
co-infection
was
detected:
two
281
(13.4%),
three
51
(2.4%),
four
eight
(0.4%)
samples.
co-infected
MAARI
at
very
different
rates.
The
lowest
rates
confirmed
influenza
B
(13.8%)
A
(22.9%)
highest
human
bocaviruses
(84.0%)
parechoviruses
(82.1%).
Co-infections
detected
28.2%
SARS-CoV-2
never
virus,
enterovirus
or
adenovirus,
although
latter
found
as
co-infecting
virus
all
other
tested.
rate
decreased
significantly
increasing
age
(p-value
0.000),
no
difference
regarding
gender
0.672).
It
is
important
understand
epidemiology
prevention
management
decisions
MAARI.
Language: Английский
Seasonal Shifts in Influenza, Respiratory Syncytial Virus, and Other Respiratory Viruses After the COVID-19 Pandemic: An Eight-Year Retrospective Study in Jalisco, Mexico
Ernestina Quintero-Salgado,
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Jaime Briseño-Ramírez,
No information about this author
Gabriel Vega‐Cornejo
No information about this author
et al.
Viruses,
Journal Year:
2024,
Volume and Issue:
16(12), P. 1892 - 1892
Published: Dec. 8, 2024
The
coronavirus
disease
2019
(COVID-19)
pandemic
profoundly
disrupted
the
epidemiology
of
respiratory
viruses,
driven
primarily
by
widespread
non-pharmaceutical
interventions
(NPIs)
such
as
social
distancing
and
masking.
This
eight-year
retrospective
study
examines
seasonal
patterns
incidence
influenza
virus,
syncytial
virus
(RSV),
other
viruses
across
pre-pandemic,
pandemic,
post-pandemic
phases
in
Jalisco,
Mexico.
Weekly
case
counts
were
analyzed
using
an
interrupted
time
series
(ITS)
model,
segmenting
timeline
into
these
three
distinct
phases.
Significant
reductions
circulation
observed
during
followed
atypical
resurgences
NPIs
relaxed.
Influenza
displayed
alternating
subtype
dominance,
with
A
H3
prevailing
2022,
B
surging
2023,
H1N1
increasing
thereafter,
reflecting
potential
immunity
gaps.
RSV
activity
was
marked
earlier
onset
higher
intensity
post-pandemic.
Other
including
human
rhinovirus/enterovirus
(HRV/HEV)
parainfluenza
(HPIV),
showed
altered
dynamics,
some
failing
to
return
pre-pandemic
seasonality.
These
findings
underscore
need
for
adaptive
surveillance
systems
vaccination
strategies
address
evolving
viral
patterns.
Future
research
should
investigate
long-term
public
health
implications,
focusing
on
vaccination,
clinical
outcomes,
healthcare
preparedness.
Language: Английский
Respiratory pathogen dynamics in community fever cases: Jiangsu Province, China (2023–2024)
Fēi Dèng,
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Zhuhan Dong,
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Tian Qiu
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et al.
Virology Journal,
Journal Year:
2024,
Volume and Issue:
21(1)
Published: Sept. 20, 2024
Respiratory
infectious
diseases
have
the
highest
incidence
among
worldwide.
Currently,
global
monitoring
of
respiratory
pathogens
primarily
focuses
on
influenza
and
coronaviruses.
This
study
included
other
common
to
establish
a
local
pathogen
spectrum.
We
investigated
analyzed
co-infection
patterns
these
explored
impact
lifting
non-pharmaceutical
interventions
(NPIs)
transmission
pathogens.
Additionally,
we
used
predictive
model
for
diseases,
utilizing
commonly
An
autoregressive
comprehensive
moving
average
(ARIMA),
which
can
effectively
forecast
disease
incidence.
Language: Английский