Emerging infectious diseases,
Год журнала:
2020,
Номер
26(7), С. 1583 - 1591
Опубликована: Апрель 10, 2020
To
determine
distribution
of
severe
acute
respiratory
syndrome
coronavirus
2
in
hospital
wards
Wuhan,
China,
we
tested
air
and
surface
samples.
Contamination
was
greater
intensive
care
units
than
general
wards.
Virus
widely
distributed
on
floors,
computer
mice,
trash
cans,
sickbed
handrails
detected
≈4
m
from
patients.
IEEE Access,
Год журнала:
2020,
Номер
8, С. 90225 - 90265
Опубликована: Янв. 1, 2020
The
unprecedented
outbreak
of
the
2019
novel
coronavirus,
termed
as
COVID-19
by
World
Health
Organization
(WHO),
has
placed
numerous
governments
around
world
in
a
precarious
position.
impact
outbreak,
earlier
witnessed
citizens
China
alone,
now
become
matter
grave
concern
for
virtually
every
country
world.
scarcity
resources
to
endure
combined
with
fear
overburdened
healthcare
systems
forced
majority
these
countries
into
state
partial
or
complete
lockdown.
number
laboratory-confirmed
coronavirus
cases
been
increasing
at
an
alarming
rate
throughout
world,
reportedly
more
than
3
million
confirmed
30
April
2020.
Adding
woes,
false
reports,
misinformation,
and
unsolicited
fears
regards
are
being
circulated
regularly
since
COVID-19.
In
response
such
acts,
we
draw
on
various
reliable
sources
present
detailed
review
all
major
aspects
associated
pandemic.
addition
direct
health
implications
COVID-19,
this
study
highlights
its
global
economy.
drawing
things
close,
explore
use
technologies
Internet
Things
(IoT),
Unmanned
Aerial
Vehicles
(UAVs),
blockchain,
Artificial
Intelligence
(AI),
5G,
among
others,
help
mitigate
outbreak.
arXiv (Cornell University),
Год журнала:
2020,
Номер
unknown
Опубликована: Янв. 1, 2020
Background
and
Purpose:
Coronaviruses
(CoV)
are
perilous
viruses
that
may
cause
Severe
Acute
Respiratory
Syndrome
(SARS-CoV),
Middle
East
(MERS-CoV).
The
novel
2019
Coronavirus
disease
(COVID-19)
was
discovered
as
a
pneumonia
in
the
city
of
Wuhan,
China
at
end
2019.
Now,
it
becomes
outbreak
around
world,
number
infected
people
deaths
increasing
rapidly
every
day
according
to
updated
reports
World
Health
Organization
(WHO).
Therefore,
aim
this
article
is
introduce
new
deep
learning
framework;
namely
COVIDX-Net
assist
radiologists
automatically
diagnose
COVID-19
X-ray
images.
Materials
Methods:
Due
lack
public
datasets,
study
validated
on
50
Chest
images
with
25
confirmed
positive
cases.
includes
seven
different
architectures
convolutional
neural
network
models,
such
modified
Visual
Geometry
Group
Network
(VGG19)
second
version
Google
MobileNet.
Each
model
able
analyze
normalized
intensities
image
classify
patient
status
either
negative
or
case.
Results:
Experiments
evaluation
have
been
successfully
done
based
80-20%
for
training
testing
phases,
respectively.
VGG19
Dense
Convolutional
(DenseNet)
models
showed
good
similar
performance
automated
classification
f1-scores
0.89
0.91
normal
COVID-19,
Conclusions:
This
demonstrated
useful
application
proposed
framework.
Clinical
studies
next
milestone
research
work.
Journal of Endodontics,
Год журнала:
2020,
Номер
46(5), С. 584 - 595
Опубликована: Апрель 6, 2020
The
recent
spread
of
severe
acute
respiratory
syndrome
coronavirus
2
(SARS-CoV-2)
and
its
associated
disease
has
gripped
the
entire
international
community
caused
widespread
public
health
concerns.
Despite
global
efforts
to
contain
spread,
outbreak
is
still
on
a
rise
because
pattern
this
infection.
This
zoonotic
infection,
similar
other
infections,
that
believed
have
originated
in
bats
pangolins
later
transmitted
humans.
Once
human
body,
abundantly
present
nasopharyngeal
salivary
secretions
affected
patients,
predominantly
thought
be
droplet/contact
nature.
Dental
professionals,
including
endodontists,
may
encounter
patients
with
suspected
or
confirmed
SARS-CoV-2
infection
will
act
diligently
not
only
provide
care
but
at
same
time
prevent
nosocomial
Thus,
aim
article
brief
overview
epidemiology,
symptoms,
routes
transmission
novel
In
addition,
specific
recommendations
for
dental
practice
are
suggested
patient
screening,
control
strategies,
management
protocol.
