Introduction
The
coronavirus
illness
caused
by
SARS-
CoV-2
can
cause
multiple
organ
involvement,
with
varying
degrees
of
severity.
Besides,
inhalation
as
a
route
for
transmission,
feco-oral
has
also
been
proposed.
Its
transmission
to
sewage
systems
is
growing
public
health
issue.
Objective
To
detect
SARS-CoV-2
RNA
in
non-respiratory
samples
(saliva,
urine,
and
stool)
collected
from
COVID-19
cases,
Bihar.
Materials
methods
This
Cross-Sectional
observational
study
was
conducted
January
2021
March
2022
on
human
samples.
A
total
345
including
saliva
(116),
stool
(97),
urine
(132)
were
143
covid-19
cases.
Samples
analyzed
multiplex
RT-PCR
targeted
against
E,
ORF
1ab,
RdRp
gene.
Results
In
this
study,
out
107(74.8%)
positive
at
least
one
the
Conclusion
There
high
prevalence
virus
Computers in Biology and Medicine,
Journal Year:
2022,
Volume and Issue:
144, P. 105342 - 105342
Published: Feb. 23, 2022
After
nearly
two
years
since
the
first
identification
of
SARS-CoV-2
virus,
surge
in
cases
because
virus
mutations
is
a
cause
grave
public
health
concern
across
globe.
As
result
this
crisis,
predicting
transmission
pattern
one
most
vital
tasks
for
preparing
and
controlling
pandemic.
In
addition
to
mathematical
models,
machine
learning
tools,
especially
deep
models
have
been
developed
forecasting
trend
number
patients
affected
by
with
great
success.
paper,
three
including
CNN,
LSTM,
CNN-LSTM
predict
COVID-19
Brazil,
India
Russia.
We
also
compare
performance
our
previously
notice
significant
improvements
prediction
performance.
Although
used
only
these
countries,
can
be
easily
applied
datasets
other
countries.
Among
work,
LSTM
model
has
highest
when
shows
an
improvement
accuracy
compared
some
existing
models.
The
research
will
enable
accurate
support
global
fight
against
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
113, P. 105695 - 105695
Published: July 27, 2024
Urban
sanitation
is
critical
for
public
health,
with
the
management
of
human
feces
presenting
significant
challenges
in
growing
urban
areas.
While
prior
research
has
concentrated
on
health
impacts
fecal
contaminants,
spatial
distribution
and
determinants
open
defecation
contexts
have
received
less
attention.
To
address
these
gaps,
this
study
proposed
an
interpretable
machine
learning
framework
integrating
Geographically
Weighted
Random
Forest
(GW-RF)
SHapley
Additive
exPlanations
(SHAP)
analysis
to
reveal
complex
heterogeneity
factors
influencing
density
cities,
taking
San
Francisco
as
a
case
study.
Our
findings
highlight
that
homelessness,
population
density,
building
are
drivers
distribution.
Importantly,
higher
restroom
was
linked
increased
underscoring
need
planning
focus
improving
accessibility
rather
than
merely
increasing
their
number.
Additionally,
our
suggests
green
spaces
serve
mitigating
factor,
indicating
enhancing
greenery
could
be
effective
strategy
addressing
challenges.
This
not
only
offers
insights
into
Francisco's
but
also
provides
practical
implications
development
strategies
globally,
advocating
targeted,
evidence-based
interventions
foster
healthier
more
sustainable
cities.
Waste Management Bulletin,
Journal Year:
2023,
Volume and Issue:
1(4), P. 93 - 103
Published: Oct. 11, 2023
The
COVID-19
pandemic
disrupted
global
waste
management,
highlighting
the
need
for
adaptable
practices.
Health
and
safety
took
precedence
over
environmental
concerns,
resulting
in
significant
shifts
municipal
solid
management.
increased
use
of
personal
protective
equipment
(PPE)
like
masks
gloves
led
to
a
surge
plastic
fiber
waste.
Changes
consumer
behavior,
such
as
online
shopping
food
delivery,
also
contributed
higher
household
Improper
management
posed
secondary
transmission
risks.
Healthcare
waste,
generated
hospitals
quarantine
centers,
correlated
with
rising
infections.
Inadequate
practices,
including
traditional
open
incineration,
exposed
communities
toxins.
This
review
examines
trends
households
across
various
regions
during
pandemic.
It
discusses
collectors'
challenges
strategies
achieving
zero
Findings
from
this
study
showed
that
pandemic's
impact
on
generation
varied
regions,
influenced
by
economic
factors.
Low-income
countries
less
per
capita
than
high-income
countries.
While
some
experienced
reduction
due
reduced
industrial
activities
pandemic,
many
countries,
driven
changes
behavior
widespread
adoption
PPE.
used
surgical
emerged
challenge,
billions
discarded
monthly,
contributing
pollution.
disposal
PPE
developing
nations
health
hazards,
clogging
landfills,
littering
environment.
Addressing
issue
is
crucial
maintaining
sustainability.
In
conclusion,
brought
unique
necessitating
adaptability
innovative
solutions.
Proper
practices
are
essential
safeguarding
public
health,
preventing
pollution,
ensuring
sustainable
future.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(1), P. 128 - 128
Published: Jan. 15, 2024
The
mental
health
crisis
poses
a
major
challenge
to
global
sustainable
development.
In
response,
the
United
Nations
has
launched
an
ambitious
plan
“reshape
environment
that
affects
health”.
Clean
toilets
are
important
measure
of
civilization,
yet
it
is
unclear
whether
they
helping
alleviate
crisis.
Therefore,
using
data
from
large
sample
rural
Chinese
households
and
introducing
instrumental
variables
approach
based
on
IV-Tobit
model
address
endogeneity,
this
study
quantitatively
discusses
clean
latrines
have
positive
effect
farm
households.
results
showed
following:
(1)
89.8%
had
toilets,
while
average
household
depression
index
was
12.568;
(2)
helped
improve
farmers,
which
means
farmers
with
decreased
by
66.9%
compared
without
toilets.
findings
can
inform
development
policies
mitigate
contribute
resilience
