Scientific Journal of Technology,
Journal Year:
2022,
Volume and Issue:
4(11), P. 55 - 60
Published: Nov. 22, 2022
In
order
to
facilitate
the
real-time
analysis
of
COVID-19,
a
COVID-19
data
and
visualization
system
is
designed
implemented,
which
acuqries
from
Baidu
epidemic
platform.
It
displays
dynamics,
new
trends,
cumulative
diagnosis,
diagnosis
distribution
other
information
through
big
screen.
This
adopts
front-end
back-end
separation
technology,
uses
Scrapy
acquire
data,
stores
in
MySQL
database
cleaning,
conversion
steps.
The
obtains
based
on
Spring
Boot,
Vue
technology
analyze
display
ECharts
diversified
charts.
practice
under
production
environment
proves
that
can
meet
requirements
has
high
scalability.
BRILL eBooks,
Journal Year:
2023,
Volume and Issue:
unknown, P. 196 - 222
Published: Oct. 16, 2023
This
chapter
examines
the
disruptive
effect
of
Covid-19
on
different
aspects
lives
Chinese
students
studying
in
France:
their
studies,
daily
life,
employment,
and
migratory
trajectories.
First,
transition
to
distance
learning
during
first
phases
pandemic
had
contrasting
effects
processes
respondents:
negative
for
some
beneficial
others,
depending
student’s
field
study,
level
living
conditions.
The
clearest
effects,
however,
are
seen
with
respect
student
experience,
which
was
harmed
by
inability
explore
geography
develop
social
relationships
other
students.
Second,
at
a
pivotal
moment,
recent
graduates
found
careers
derailed
arrival
Covid-19.
duration
this
derailment
depended
training
personal
conditions,
reflecting
existing
inequality.
They
developed
strategies
adapting
new
included
making
concessions.
Third,
looking
back
over
time
enables
authors
better
understand
ways
these
constructed
paths
based
evolution
pandemic,
evaluating
risks
prioritizing
objectives.
health
considerations
that
seemed
overwhelming
beginning
gradually
gave
way
other,
more
general
concerns,
such
as
economic
security,
professional
success,
independence.
Scientific Journal of Technology,
Journal Year:
2022,
Volume and Issue:
4(11), P. 55 - 60
Published: Nov. 22, 2022
In
order
to
facilitate
the
real-time
analysis
of
COVID-19,
a
COVID-19
data
and
visualization
system
is
designed
implemented,
which
acuqries
from
Baidu
epidemic
platform.
It
displays
dynamics,
new
trends,
cumulative
diagnosis,
diagnosis
distribution
other
information
through
big
screen.
This
adopts
front-end
back-end
separation
technology,
uses
Scrapy
acquire
data,
stores
in
MySQL
database
cleaning,
conversion
steps.
The
obtains
based
on
Spring
Boot,
Vue
technology
analyze
display
ECharts
diversified
charts.
practice
under
production
environment
proves
that
can
meet
requirements
has
high
scalability.
