The Lancet Regional Health - Americas,
Год журнала:
2021,
Номер
2, С. 100039 - 100039
Опубликована: Авг. 20, 2021
All-cause
excess
mortality
is
a
comprehensive
measure
of
the
combined
direct
and
indirect
effects
COVID-19
on
mortality.
Estimates
are
usually
derived
from
Civil
Registration
Vital
Statistics
(CRVS)
systems,
but
these
do
not
include
non-registered
deaths,
which
may
be
affected
by
changes
in
vital
registration
coverage
over
time.Our
analytical
framework
empirical
strategy
account
for
registered
under-registration.
This
provides
better
estimate
actual
impact
first
wave
pandemic
Peru.
We
use
population
crude
rate
projections
Peru's
National
Institute
Information
(INEI,
Spanish),
individual-level
deaths
Ministry
Health
(MoH),
region
age
since
2017
Electronic
Deaths
Register
(SINADEF,
Spanish).We
develop
novel
combining
different
estimates
using
quasi-Poisson
models
to
total
across
regions
groups.
Also,
we
logistic
mixed-effects
new
SINADEF
system.We
that
underestimates
national
37•1%
(95%
CI
23%
-
48•5%)
26
nine
all-cause
during
period
analysis
at
173,099
153,669
187,488)
108,943
96,507
118,261)
were
captured
system.
60
accounted
74•1%
73•9%
74•7%)
there
fewer
than
expected
younger
Lima
region,
Pacific
coast
including
capital,
accounts
highest
share
87,781
82,294
92,504),
while
opposite
side
Apurimac
Huancavelica
less
300
deaths.Estimating
low-
middle-income
countries
(LMICs)
such
as
Peru
must
take
under-registration
into
account.
Combining
demographic
trends
with
data
administrative
registries
reduces
uncertainty
measurement
errors.
In
like
Peru,
this
likely
produce
significantly
higher
studies
account.None.
International Journal of Social Psychiatry,
Год журнала:
2022,
Номер
68(5), С. 997 - 1009
Опубликована: Май 27, 2022
The
COVID-19
pandemic
has
already
claimed
more
than
six
million
direct
deaths.
Low-and
middle-income
countries,
such
Brazil,
were
severely
hit,
not
only
due
to
effects
on
mortality,
but
also
for
its
indirect
other
causes
of
deaths.The
objective
this
study
was
estimate
the
excess
suicides
in
Brazil
and
evaluate
patterns
within
between
regions
during
2020.The
observed
are
gathered
from
mortality
information
system
Brazilian
Ministry
Health.
estimates
expected
suicides,
according
sex,
age
group,
bimonthly
period
region,
reached
through
quasi-Poisson
generalized
additive
models,
with
adjustment
overdispersion.
analyses
performed
R
software,
version
3.6.1
RStudio,
1.2.1335.From
March
2020
December
2020,
10,409
resulting
an
overall
decrease
13%,
comparison
rate
period.
There
26%
men
Northern
region
60
years
as
well
women
30
59
group
two
consecutive
periods.
Excess
40%
Northeastern
region.Despite
over
assessed,
substantial
different
groups
sexes
country,
which
that
historically
prone
health
socioeconomic
inequalities.
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(2), С. 805 - 805
Опубликована: Янв. 12, 2022
Italy
was
a
country
severely
hit
by
the
first
coronavirus
disease
2019
(COVID-19)
pandemic
wave
in
early
2020.
Mortality
studies
have
focused
on
overall
excess
mortality
observed
during
pandemic.
This
paper
investigates
cause-specific
from
March
2020
to
April
and
variation
rates
compared
with
those
2015-2019
regarding
sex,
age,
epidemic
area.
Causes
of
death
were
derived
national
cause-of-death
register.
COVID-19
leading
cause
among
males
second
females.
Chronic
diseases,
such
as
diabetes
hypertensive,
ischemic
heart,
cerebrovascular
decreasing
or
stable
2015-2019,
showed
reversal
trend.
Moreover,
due
pneumonia
influenza
increased.
No
increase
neoplasm
observed.
Among
external
causes
death,
increased
for
accidental
falls
but
reduced
transport
accidents
suicide.
other
than
similarly
both
genders
more
at
ages
65
years
above.
Compared
areas
Italy,
Lombardy
region
largest
all
causes.
Underdiagnosis
beginning
may,
some
extent,
explain
especially
respiratory
diseases.
Experimental and Therapeutic Medicine,
Год журнала:
2021,
Номер
23(1)
Опубликована: Дек. 2, 2021
Since
the
outbreak
of
coronavirus
2019
(COVID‑19)
pandemic,
there
has
been
widespread
concern
that
social
isolation,
financial
stress,
depression,
limited
or
variable
access
to
health
care
services
and
other
pandemic‑related
stressors
may
contribute
an
increase
in
suicidal
behaviors.
In
patients
who
have
recovered
from
COVID‑19,
increased
risk
developing
behaviors
be
noted,
while
post‑COVID
syndrome
comprises
another
potential
factor
contributing
Despite
initial
alarming
predictions
for
suicide
rates
due
COVID‑19
majority
published
studies
date
suggest
experienced
difficulties
distress
do
not
inevitably
translate
into
number
suicide‑related
deaths,
at
least
short‑term.
Nevertheless,
long‑term
mental
effects
pandemic
yet
unfolded
are
likely
remain
a
long
period
time.
Suicide
prevention
measures
aiming
promoting
well‑being
mitigating
on
health,
particularly
among
vulnerable
groups,
should
thus
priority
healthcare
professionals
policymakers
amidst
evolving
pandemic.
The Lancet Regional Health - Americas,
Год журнала:
2021,
Номер
2, С. 100039 - 100039
Опубликована: Авг. 20, 2021
All-cause
excess
mortality
is
a
comprehensive
measure
of
the
combined
direct
and
indirect
effects
COVID-19
on
mortality.
Estimates
are
usually
derived
from
Civil
Registration
Vital
Statistics
(CRVS)
systems,
but
these
do
not
include
non-registered
deaths,
which
may
be
affected
by
changes
in
vital
registration
coverage
over
time.Our
analytical
framework
empirical
strategy
account
for
registered
under-registration.
This
provides
better
estimate
actual
impact
first
wave
pandemic
Peru.
We
use
population
crude
rate
projections
Peru's
National
Institute
Information
(INEI,
Spanish),
individual-level
deaths
Ministry
Health
(MoH),
region
age
since
2017
Electronic
Deaths
Register
(SINADEF,
Spanish).We
develop
novel
combining
different
estimates
using
quasi-Poisson
models
to
total
across
regions
groups.
Also,
we
logistic
mixed-effects
new
SINADEF
system.We
that
underestimates
national
37•1%
(95%
CI
23%
-
48•5%)
26
nine
all-cause
during
period
analysis
at
173,099
153,669
187,488)
108,943
96,507
118,261)
were
captured
system.
60
accounted
74•1%
73•9%
74•7%)
there
fewer
than
expected
younger
Lima
region,
Pacific
coast
including
capital,
accounts
highest
share
87,781
82,294
92,504),
while
opposite
side
Apurimac
Huancavelica
less
300
deaths.Estimating
low-
middle-income
countries
(LMICs)
such
as
Peru
must
take
under-registration
into
account.
Combining
demographic
trends
with
data
administrative
registries
reduces
uncertainty
measurement
errors.
In
like
Peru,
this
likely
produce
significantly
higher
studies
account.None.