Association between Excess Mortality due to COVID-19, Full Vaccination coverage, Smoking, Hypertension and GDP per Capita/PPP across 10 Southeast Asian Countries
IJID Regions,
Год журнала:
2025,
Номер
14, С. 100570 - 100570
Опубликована: Янв. 18, 2025
Mass
vaccination
and
cardiometabolic
disorders
have
been
reported
to
influence
COVID-19
prognosis
mortality
burden.
We
applied
a
generalized
linear
mixed
model
(GLMM)
explore
the
associations
between
mortality,
full
coverage,
health
indicators
in
Southeast
Asia
(SEAR).
A
region-wide
ecological
analysis
of
aggregate
data
from
10
SEAR
countries
(January
2020
December
2022)
was
performed.
The
databases
used
were
John
Hopkins
University
Coronavirus
Resource
Center
WHO
Health
Organization.
Excess
deaths
associated
with
per
100,000
case
fatality
rate
outcome
variables.
GLMM
performed
determine
predictors
adjustments
made
for
sociodemographic
statistical
significance
level
set
at
P
<0.01
(double-sided).
adjusted
showed
that
number
excess
due
strongly
positively
age-standardized
smoking
(coefficient
determination
[coeff.]
=
9.18
[standard
error
(SE):
2.15];
<0.001)
hypertension
prevalence
(coeff.
25.98
[SE:
9.15];
<0.01),
whereas
it
negatively
coverage
-5.23
1.54];
<0.01)
gross
domestic
product
capita/purchasing
power
parity
-102.01
18.31];
<0.001).
0.30
0.16];
correlated
-0.05
0.01];
-1.09
(SE:
0.34);
p<0.001).
observed
multivariate
remained
stratified
by
quartile.
study
findings
suggest
implementing
effective
public
interventions
would
increased
vaccine
uptake
improve
on
one
hand
initiatives
enhance
country-level
economy
other
reduced
SEAR.
Язык: Английский
Full Vaccination coverage, Smoking, Hypertension and COVID-19-associated Excess Mortality in Southeast Asia Region: GLMM analysis of Real-world Epidemiological Data
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Май 7, 2024
Abstract
Background.
From
Wuhan
(China)
where
its
originated,
COVID-19
has
rapidly
spread
worldwide;
mass
vaccination
and
cardiometabolic
disorders
are
reported
to
influence
the
disease
prognosis
mortality
burden.
We
applied
a
generalized
linear
mixed
model
(GLMM)
explore
associations
between
mortality,
full
coverage
health
indicators
in
Southeast
Asia
region
(SEAR).
Methods.
A
region-wide
ecological
analysis
of
aggregate
data
10
SEAR
countries
(January
2020-December
2022)
was
performed.
Databases
used
were
from
John
Hopkins
University
Coronavirus
Resource
Center
WHO.
Excess
deaths
associated
with
COVID-19/100,000
case-fatality
rate
(CFR)
outcome
variables.
GLMM
performed
determine
predictors
mortality;
adjustment
made
for
sociodemographics.
Statistical
significance
level
set
at
p
<
0.01
(double-sided).
Results.
Adjusted
showed
that
number
excess
due
strongly
positively
age-standardized
smoking
(coeff.=
9.18
(SE:
2.15);
0.001)
hypertension
prevalence
25.98
9.15);
0.01),
whereas
it
negatively
-5.23
1.54);
0.01)
log-transformed
GDP
per
capita
-102.01
18.31);
0.001).
CFR
0.30
0.16);
-0.05
0.01);
-1.09
0.34);
0.01).
The
observed
multivariate
remained
true
stratified
using
quartiles.
Conclusion.
Study
findings
suggest
implementing
effective
public
interventions
increase
vaccine
uptake
improve
would
have
reduced
SEAR.
Язык: Английский
Risk of Severe Outcomes From COVID-19 in Immunocompromised People During the Omicron Era: A Systematic Review and Meta-Analysis
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 28, 2024
Abstract
Key
Points
Question:
What
are
the
risks
of
severe
outcomes
from
COVID-19
in
people
with
immunocompromising/immunosuppressive
(IC/IS)
conditions
Omicron
era?
Findings:
This
systematic
review
and
meta-analysis
found
increased
risk
for
IC/IS
(e.g.,
autoimmunity,
cancer,
liver
disease,
renal
transplant)
compared
without
respective
conditions.
Of
all
meta-analyzed
conditions,
transplant
recipients
had
highest
outcomes,
non-transplant
or
general
population.
Meaning:
People
remain
at
during
era;
continued
preventative
measures
personalized
care
crucial.
Importance
is
first
to
investigate
individuals
specifically
era.
Objective
To
assess
mortality
hospitalization
Data
Sources
A
search
Embase,
MEDLINE,
PubMed,
Europe
PMC,
Latin
American
Caribbean
Health
Sciences
Literature,
Cochrane
Study
Register,
WHO
Database
was
performed
identify
studies
published
between
1
January
2022
13
March
2024.
Selection
Inclusion
criteria
were
observational
that
included
(all
ages)
least
following
conditions:
unspecified
groups,
(solid
organ,
stem
cells,
bone
marrow),
any
malignancy,
autoimmune
diseases,
chronic
end-stage
kidney
advanced/untreated
HIV.
In
total,
72
review,
which
66
meta-analysis.
Extraction
Synthesis
extracted
by
one
reviewer
verified
a
second.
Studies
synthesized
quantitively
(meta-analysis)
using
random-effect
models.
PRISMA
guidelines
followed.
Main
Outcomes
Measures
Evaluated
death,
hospitalization,
intensive
unit
(ICU)
admission,
combination
these
outcomes.
Odds
ratios,
hazard
rate
ratios
extracted;
pooled
relative
(RR)
95%
confidence
intervals
(CI)
calculated.
Results
Minimum
numbers
participants
per
condition
ranged
12
634
3
287
816.
Risks
death
(RR,
6.78;
CI,
4.41-10.43;
P
<.001),
6.75;
3.41-13.37;
combined
8.65;
4.01-18.65;
while
group
ICU
admission
3.38;
2.37-4.83;
<.001)
Conclusions
era,
have
substantially
higher
than
Язык: Английский
Risk of Severe Outcomes From COVID-19 in Comorbid Populations in the Omicron Era: A Meta-analysis
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 3, 2024
Abstract
Importance
This
is
the
first
meta-analysis
to
investigate
risk
of
death
and
hospitalization
in
individuals
with
comorbidities,
specifically
during
Omicron
era.
Objective
To
assess
mortality
from
COVID-19
comorbidities
comparison
without
Data
Sources
A
systematic
search
Embase,
MEDLINE,
PubMed,
Europe
PMC,
Latin
American
Caribbean
Health
Sciences
Literature,
Cochrane
Study
Register,
WHO
Database
was
performed
identify
studies
published
between
1
January
2022
13
March
2024.
Selection
Inclusion
criteria
were
observational
including
people
(all
ages)
at
least
following
comorbidities:
cardiovascular/
cerebrovascular
disease,
chronic
lung
conditions,
diabetes,
obesity.
In
total,
72
included
review,
which
68
meta-analyzed.
Extraction
Synthesis
extracted
by
one
reviewer
verified
a
second.
Studies
synthesized
quantitively
(meta-analysis)
using
random-effect
models.
PRISMA
guidelines
followed.
Main
Outcomes
Measures
Evaluated
outcomes
risks
death,
hospitalization,
intensive
care
unit
(ICU)
admission,
any
combination
these
outcomes.
Odds
ratios,
hazard
rate
ratios
extracted;
pooled
relative
(RR)
95%
confidence
intervals
(CI)
calculated.
Results
Minimum
numbers
participants
per
comorbidity
across
ranged
328
870
for
thrombosis
720
480
hypertension.
Risks
combined
outcome
increased
COPD,
respiratory
diseases,
heart
failure
versus
those
(pooled
RRs
1.27
[heart
hospitalization;
CI,
1.17-1.38,
P
<
.001]
1.78
failure,
death:
1.46-2.16,
.001]).
Individuals
diabetes
obesity
had
ICU
admission
(RR:
1.20;
CI:
1.04-1.38,
=
.0141
RR:
1.32;
1.11-1.57,
.00158,
respectively).
Conclusions
During
era,
amongst
cerebrovascular/cardiovascular
highest
failure.
are
admission.
Key
Points
Question
What
severe
era?
Findings
review
found
among
range
without.
Risk
higher
diabetes.
Meaning
study
identified
comorbid
populations
most
COVID-19.
Targeting
public
health
measures,
such
as
vaccination,
may
be
beneficial.
Язык: Английский